Positron: baixar versions anteriors

Check out all the changes for this release.
Posit Assistant can drive Positron
Posit Assistant can now operate Positron itself, not just the R or Python session inside it. Ask it to run a Shiny app, open a Parquet file in the Data Explorer, set up a Python environment, browse your data connections, or deploy to Posit Connect. It uses the same source of truth as the Positron UI, so it sees your real interpreters, packages, and connections.

To try this preview feature, enable the assistant.previewFeatures setting, and tell us what you think in the GitHub discussion.
Bring your own coding agent
A new built-in Model Context Protocol (MCP) server lets coding agents such as Claude Code, Codex, and Gemini CLI work in your live Python and R sessions. Agents can run code, look at plots, and run Positron commands, and the Console labels the code that an agent runs. To try this experimental feature, enable the ai.mcp.enabled setting. Positron configures Claude Code for you, and Positron MCP: Add to Coding Agent sets up the Codex and Gemini CLIs.
Data Connections on by default
Data Connections is now the default way to work with databases and data warehouses, and it supersedes the Catalog Explorer and Connections pane. Amazon Redshift connections can sign in with AWS Identity and Access Management (IAM), and Snowflake and Databricks connections on Posit Workbench can use managed credentials. Snowflake semantic views show in the tree, and Connect With can generate ggsql code. To use the older Connections pane, set dataConnections.enabled to false.
Faster language features for Quarto
Positron now provides completions, hover, diagnostics, and other language features natively for R and Python cells in Quarto and R Markdown documents. Before, the Quarto extension wrote temporary virtual documents to disk for these features. Positron now uses a virtual notebook in memory instead, which is faster and solves a whole category of bugs. It also lets Go to Definition and Find References work across R cells. If you run into problems and need to go back to the old behavior, use the quarto.embeddedLanguageFeatures.native setting.
Python project setup
Positron is better at setting up the right Python environment for your project. When a workspace has a uv.lock or pixi.lock file but no environment, Positron offers to create it. If uv is missing, the New Folder flow can install it for you. Interpreter path settings for Python and R now support ${workspaceFolder}, so a project can point to an interpreter inside it.

Check out all the changes for this release.
Posit Assistant can drive Positron
Posit Assistant can now operate Positron itself, not just the R or Python session inside it. Ask it to run a Shiny app, open a Parquet file in the Data Explorer, set up a Python environment, browse your data connections, or deploy to Posit Connect. It uses the same source of truth as the Positron UI, so it sees your real interpreters, packages, and connections.

To try this preview feature, enable the assistant.previewFeatures setting, and tell us what you think in the GitHub discussion.
Bring your own coding agent
A new built-in Model Context Protocol (MCP) server lets coding agents such as Claude Code, Codex, and Gemini CLI work in your live Python and R sessions. Agents can run code, look at plots, and run Positron commands, and the Console labels the code that an agent runs. To try this experimental feature, enable the ai.mcp.enabled setting. Positron configures Claude Code for you, and Positron MCP: Add to Coding Agent sets up the Codex and Gemini CLIs.
Data Connections on by default
Data Connections is now the default way to work with databases and data warehouses, and it supersedes the Catalog Explorer and Connections pane. Amazon Redshift connections can sign in with AWS Identity and Access Management (IAM), and Snowflake and Databricks connections on Posit Workbench can use managed credentials. Snowflake semantic views show in the tree, and Connect With can generate ggsql code. To use the older Connections pane, set dataConnections.enabled to false.
Faster language features for Quarto
Positron now provides completions, hover, diagnostics, and other language features natively for R and Python cells in Quarto and R Markdown documents. Before, the Quarto extension wrote temporary virtual documents to disk for these features. Positron now uses a virtual notebook in memory instead, which is faster and solves a whole category of bugs. It also lets Go to Definition and Find References work across R cells. If you run into problems and need to go back to the old behavior, use the quarto.embeddedLanguageFeatures.native setting.
Python project setup
Positron is better at setting up the right Python environment for your project. When a workspace has a uv.lock or pixi.lock file but no environment, Positron offers to create it. If uv is missing, the New Folder flow can install it for you. Interpreter path settings for Python and R now support ${workspaceFolder}, so a project can point to an interpreter inside it.

Check out all the changes for this release.
Welcome page refresh
We redesigned the Positron welcome page. It now leads with an environment setup card that checks whether Python and R are ready to use, with actions to help resolve any problem it finds.

A new "Get Started with Positron" walkthrough covers the Positron panes, keyboard shortcuts, built-in extensions, and Git, and the page links to the walkthroughs from a banner.
Import Data
Importing data via the Positron UI is currently our most upvoted feature request, and this release delivers a first version. When you view a CSV or TSV file in the Data Explorer, a new Import Data button in the action bar opens a dialog. The dialog shows the code to load that file into a data frame. You can copy the code, or click Import to run it in the console, starting a session if one is not already running.
Import Data supports CSV and TSV files in Python with pandas and in R with the readr package, as well as Excel workbooks and Parquet files. You can open the dialog from the Data Explorer, the File menu, the Variables pane, or the File Explorer context menu.
Data Connections
The Data Connections preview keeps growing. A new ODBC data connection driver lets you browse any database with an installed ODBC driver in the new Connections pane and open it in the Data Explorer. Data sources already configured on your machine appear automatically. Databricks gains OAuth sign-in on desktop and reads DATABRICKS_TOKEN, DATABRICKS_HOST, and DATABRICKS_CONFIG_FILE credentials managed by Posit Workbench automatically. A Disconnect option in the context menu closes a connection and any Data Explorers opened from it, and each data connection driver now gets its own log output channel.
Package security vulnerabilities
The Packages pane now shows known security vulnerabilities (Common Vulnerabilities and Exposures scoring) for installed Python and R packages. The data comes from your environment's own Posit Package Manager repository when it has one, and from the public Posit instance otherwise.
A more responsive Console
Console code submission is now faster, always shows visual feedback, and can be canceled while a completeness check is in flight. The Console breaks multi-statement input into complete expressions and executes them statement by statement for languages that support it. A new console.promptWhenIncomplete setting runs submitted code immediately without a completeness check.

Check out all the changes for this release.
Welcome page refresh
We redesigned the Positron welcome page. It now leads with an environment setup card that checks whether Python and R are ready to use, with actions to help resolve any problem it finds.

A new "Get Started with Positron" walkthrough covers the Positron panes, keyboard shortcuts, built-in extensions, and Git, and the page links to the walkthroughs from a banner.
Import Data
Importing data via the Positron UI is currently our most upvoted feature request, and this release delivers a first version. When you view a CSV or TSV file in the Data Explorer, a new Import Data button in the action bar opens a dialog. The dialog shows the code to load that file into a data frame. You can copy the code, or click Import to run it in the console, starting a session if one is not already running.
Import Data supports CSV and TSV files in Python with pandas and in R with the readr package, as well as Excel workbooks and Parquet files. You can open the dialog from the Data Explorer, the File menu, the Variables pane, or the File Explorer context menu.
Data Connections
The Data Connections preview keeps growing. A new ODBC data connection driver lets you browse any database with an installed ODBC driver in the new Connections pane and open it in the Data Explorer. Data sources already configured on your machine appear automatically. Databricks gains OAuth sign-in on desktop and reads DATABRICKS_TOKEN, DATABRICKS_HOST, and DATABRICKS_CONFIG_FILE credentials managed by Posit Workbench automatically. A Disconnect option in the context menu closes a connection and any Data Explorers opened from it, and each data connection driver now gets its own log output channel.
Package security vulnerabilities
The Packages pane now shows known security vulnerabilities (Common Vulnerabilities and Exposures scoring) for installed Python and R packages. The data comes from your environment's own Posit Package Manager repository when it has one, and from the public Posit instance otherwise.
A more responsive Console
Console code submission is now faster, always shows visual feedback, and can be canceled while a completeness check is in flight. The Console breaks multi-statement input into complete expressions and executes them statement by statement for languages that support it. A new console.promptWhenIncomplete setting runs submitted code immediately without a completeness check.

Check out all the changes for this release.
Data Connections
Data Connections is our new way to work with database-like resources in Positron, from local files and database servers to cloud data warehouses. It is currently available as a preview feature, and you can enable it with the dataConnections.enabled setting. This release more than doubles the number of data sources you can reach. Amazon Redshift, Snowflake, Databricks, and Posit Connect pins join the existing DuckDB, PostgreSQL, and SQLite support.

The panel itself is more capable as well. Refresh and Refresh All reload the tree while preserving what you have expanded, briefly highlighting the rows that were reloaded. Open connections now show an indicator. Collapsing a connection keeps it open while Data Explorers previewed from it are still open. Removing a connection asks for confirmation and reports how many Data Explorers will close with it.
Data Connections is still an experimental preview, and your feedback continues to shape it. Tell us which databases and warehouses you need, and anything confusing, missing, or broken, in the Data Connections discussion.
Inline output for Quarto
Inline output for .qmd documents came out of preview last release, and this release brings you a substantial round of polish for this way of working. Be aware that the Quarto settings have moved into a dedicated quarto.* namespace with its own group in the Settings editor. The previous positron.quarto.* keys still work but are deprecated, and Positron will prompt you to update your settings.
Before a kernel starts, the kernel status names the interpreter it will start and offers an explicit Start Kernel action. When a cell fails, Fix and Explain buttons send the error to Posit Assistant, matching the Positron notebook experience. The editor also scrolls to reveal output as it is produced, which you can turn off with the new quarto.inlineOutput.autoScroll setting.
Output renders more faithfully as well. Running a cell now tells you much more about what is happening, as the editor gutter shows per-statement progress, so you can see which statement is currently executing. Positron draws images at your display's pixel ratio, so plots are sharp on retina screens, and Python figures now respect the fig-width and fig-height cell options.
HTML widgets no longer stick in the editor corner when you scroll past them, or trap scrolling instead of letting the document scroll. HTML widgets no longer render as raw HTML after a reload, and collapsed output no longer springs back open when its cell re-runs. Running code in a Quarto document also pins the editor tab now, so Positron does not silently close the document and its session when you open another file.
AI model providers
Positron now reads AI model provider configuration from a single providers.json file rather than a scattered set of settings. The new release will migrate your existing configuration automatically when you start it, and deprecates the authentication.* and positron.assistant.provider.*.enable settings in favor of it. Two new commands give you direct access: Open AI Provider Settings (JSON) opens providers.json from the Command Palette, and Migrate Provider Settings to providers.json runs the migration on demand.
Install missing packages
Positron now notices when your code refers to a package you do not have installed and offers to install it for you. The prompt appears for packages referenced by your scripts and notebooks in both R and Python. A library() or import call for something missing becomes a single click instead of an error you have to go resolve by hand.
Performance and memory
We continue to invest in the memory footprint, performance, and reliability of Positron. Several components now load only when they are actually needed, and turning off ai.enabled now means Positron never loads some heavy AI-related components at all. We fixed a cluster of long-standing reliability problems around session restarts and lifecyc

Check out all the changes for this release.
Data Connections
Data Connections is our new way to work with database-like resources in Positron, from local files and database servers to cloud data warehouses. It is currently available as a preview feature, and you can enable it with the dataConnections.enabled setting. This release more than doubles the number of data sources you can reach. Amazon Redshift, Snowflake, Databricks, and Posit Connect pins join the existing DuckDB, PostgreSQL, and SQLite support.
The panel itself is more capable as well. Refresh and Refresh All reload the tree while preserving what you have expanded, briefly highlighting the rows that were reloaded. Open connections now show an indicator. Collapsing a connection keeps it open while Data Explorers previewed from it are still open. Removing a connection asks for confirmation and reports how many Data Explorers will close with it.
Data Connections is still an experimental preview, and your feedback continues to shape it. Tell us which databases and warehouses you need, and anything confusing, missing, or broken, in the Data Connections discussion.
Inline output for Quarto
Inline output for .qmd documents came out of preview last release, and this release brings you a substantial round of polish for this way of working. Be aware that the Quarto settings have moved into a dedicated quarto.* namespace with its own group in the Settings editor. The previous positron.quarto.* keys still work but are deprecated, and Positron will prompt you to update your settings.
Before a kernel starts, the kernel status names the interpreter it will start and offers an explicit Start Kernel action. When a cell fails, Fix and Explain buttons send the error to Posit Assistant, matching the Positron notebook experience. The editor also scrolls to reveal output as it is produced, which you can turn off with the new quarto.inlineOutput.autoScroll setting.
Output renders more faithfully as well. Running a cell now tells you much more about what is happening, as the editor gutter shows per-statement progress, so you can see which statement is currently executing. Positron draws images at your display's pixel ratio, so plots are sharp on retina screens, and Python figures now respect the fig-width and fig-height cell options.
HTML widgets no longer stick in the editor corner when you scroll past them, or trap scrolling instead of letting the document scroll. HTML widgets no longer render as raw HTML after a reload, and collapsed output no longer springs back open when its cell re-runs. Running code in a Quarto document also pins the editor tab now, so Positron does not silently close the document and its session when you open another file.
AI model providers
Positron now reads AI model provider configuration from a single providers.json file rather than a scattered set of settings. The new release will migrate your existing configuration automatically when you start it, and deprecates the authentication.* and positron.assistant.provider.*.enable settings in favor of it. Two new commands give you direct access: Open AI Provider Settings (JSON) opens providers.json from the Command Palette, and Migrate Provider Settings to providers.json runs the migration on demand.
Install missing packages
Positron now notices when your code refers to a package you do not have installed and offers to install it for you. The prompt appears for packages referenced by your scripts and notebooks in both R and Python. A library() or import call for something missing becomes a single click instead of an error you have to go resolve by hand.
Performance and memory
We continue to invest in the memory footprint, performance, and reliability of Positron. Several components now load only when they are actually needed, and turning off ai.enabled now means Positron never loads some heavy AI-related components at all. We fixed a cluster of long-standing reliability problems around session restarts and lifecycl

Check out all the changes for this release.
Data Connections
Data Connections is our new way to work with database-like resources in Positron, from local files and database servers to cloud data warehouses. It is currently available as a preview feature, and you can enable it with the dataConnections.enabled setting. This release more than doubles the number of data sources you can reach. Amazon Redshift, Snowflake, Databricks, and Posit Connect pins join the existing DuckDB, PostgreSQL, and SQLite support.

The panel itself is more capable as well. Refresh and Refresh All reload the tree while preserving what you have expanded, briefly highlighting the rows that were reloaded. Open connections now show an indicator. Collapsing a connection keeps it open while Data Explorers previewed from it are still open. Removing a connection asks for confirmation and reports how many Data Explorers will close with it.
Data Connections is still an experimental preview, and your feedback continues to shape it. Tell us which databases and warehouses you need, and anything confusing, missing, or broken, in the Data Connections discussion.
Inline output for Quarto
Inline output for .qmd documents came out of preview last release, and this release brings you a substantial round of polish for this way of working. Be aware that the Quarto settings have moved into a dedicated quarto.* namespace with its own group in the Settings editor. The previous positron.quarto.* keys still work but are deprecated, and Positron will prompt you to update your settings.
Before a kernel starts, the kernel status names the interpreter it will start and offers an explicit Start Kernel action. When a cell fails, Fix and Explain buttons send the error to Posit Assistant, matching the Positron notebook experience. The editor also scrolls to reveal output as it is produced, which you can turn off with the new quarto.inlineOutput.autoScroll setting.
Output renders more faithfully as well. Running a cell now tells you much more about what is happening, as the editor gutter shows per-statement progress, so you can see which statement is currently executing. Positron draws images at your display's pixel ratio, so plots are sharp on retina screens, and Python figures now respect the fig-width and fig-height cell options.
HTML widgets no longer stick in the editor corner when you scroll past them, or trap scrolling instead of letting the document scroll. HTML widgets no longer render as raw HTML after a reload, and collapsed output no longer springs back open when its cell re-runs. Running code in a Quarto document also pins the editor tab now, so Positron does not silently close the document and its session when you open another file.
AI model providers
Positron now reads AI model provider configuration from a single providers.json file rather than a scattered set of settings. The new release will migrate your existing configuration automatically when you start it, and deprecates the authentication.* and positron.assistant.provider.*.enable settings in favor of it. Two new commands give you direct access: Open AI Provider Settings (JSON) opens providers.json from the Command Palette, and Migrate Provider Settings to providers.json runs the migration on demand.
Install missing packages
Positron now notices when your code refers to a package you do not have installed and offers to install it for you. The prompt appears for packages referenced by your scripts and notebooks in both R and Python. A library() or import call for something missing becomes a single click instead of an error you have to go resolve by hand.
Performance and memory
We continue to invest in the memory footprint, performance, and reliability of Positron. Several components now load only when they are actually needed, and turning off ai.enabled now means Positron never loads some heavy AI-related components at all. We fixed a cluster of long-standing reliability problems around session restarts and lifecyc

Check out all the changes for this release.
Positron Notebook Editor
The Positron Notebook Editor comes out of preview to general availability in this release, and is now the default editor for Jupyter (.ipynb) notebooks. Built specifically for data science, it offers notebook-aware AI assistance, integrated data exploration through the Variables pane and Data Explorer, and debugging that works out of the box, with no extensions required.
Alongside general availability, this release adds a wave of improvements. You can split-edit a notebook side by side, add and manage cell tags, run a selection or the current line in a cell, and export a notebook to a Quarto, Python, or R file. A new Help panel, opened from a toolbar button or F1, lists notebook commands and keyboard shortcuts, and we added many of the keyboard shortcuts you know from JupyterLab. Rich outputs also render more faithfully, including inline PDFs, Mermaid diagrams, htmlwidgets, and theme-aware ipywidgets.
Packages pane
The Packages pane also comes out of preview to general availability in this release. It gives you a live view of the R and Python packages installed in your active session, so you can search, install, update, and remove packages, and jump to their documentation, without leaving Positron.

This release also makes the pane more capable. Clicking a package opens a detail editor with its overview, metadata, and actions, similar to the Extensions pane. Installing a package searches results as you type, and each row has a button that opens the package's website. Update indicators appear immediately on a new session from a cached snapshot, and Update All Packages reports exactly what changed. Package operations keep your environment consistent too, resolving against a workspace requirements.txt for Python and updating the renv.lock snapshot for R.
Posit Assistant
Posit Assistant is our unified, data-science-focused approach to AI assistance in Positron. As announced in the previous release, we have now removed the older Positron Assistant, and Posit Assistant is the single way to bring AI into your Positron workflow. For the story of how we got here, read about the history of Posit data science agents.
This release also gives you finer control over AI in Positron. The new ai.enabled setting turns off every Positron AI feature at once, and administrators can enforce it; notebook.ai.enabled does the same for notebooks specifically. The set of language model providers keeps growing, with DeepSeek joining as an experimental provider and Microsoft Foundry reaching general availability. The configuration modal now shows every provider by default with preview and experimental badges.
R language intelligence
Last release, R language support in Positron gained the ability to understand symbols within a file, and this release takes that further. Go to Definition, Find References, and Rename Symbol now work across files, in both R packages and standalone scripts, where cross-file resolution follows source() calls. This more accurate resolution strategy is experimental and, for now, powers symbol navigation only. R language intelligence is also more responsive to your workspace. Features such as diagnostics and workspace symbols react to changes made outside open editors, like switching a git branch or having an agent write a file. What Positron knows about your code stays in sync with what is on disk.
Open Excel files directly in the Data Explorer
Open an Excel workbook (.xlsx) and start exploring it right away in the Data Explorer, without first needing to load it via Python or R. Sort, filter, and profile columns, switch between worksheets, and toggle whether the first row holds column names. An Open in Excel button opens the workbook in your native spreadsheet application.
This release broadens what you can open in the Data Explorer overall. Backed by a native DuckDB engine, it now also previews compressed CSV, TSV, and Parquet files. Also, a new Open in Data Exp

Check out all the changes for this release.
Posit Assistant
Last release we introduced Posit Assistant, our unified, data-science-focused approach to AI assistance. This release continues that work, and we want to give you advance notice that the older Positron Assistant will be deprecated in the next release. If you are still using Positron Assistant, we encourage you to migrate to Posit Assistant now. As a first step, the positron.assistant.enable setting is deprecated in favor of assistant.enabled, and the Positron Assistant welcome view now points you to Posit Assistant.
Posit Assistant supports the same broad set of providers as Positron Assistant, along with the Posit AI model provider and new experimental support for Google Vertex. Learn more about the differences between the new Posit Assistant and the older Positron Assistant.

New in Posit Assistant this release, you can use the Posit AI model provider for Next Edit Suggestions, which propose your likely next change as you edit. You can also access the Configure Language Model Providers item in the accounts menu.
Packages pane improvements
We introduced the Packages pane last release, and this release makes it more informative and flexible. A Show Help button and context menu entry on every package take you straight to its documentation in the Help pane. You can now combine category filters as an intersection, so you can narrow the list to, for example, packages that are both attached and outdated. A new Item Size toggle lets you switch between a compact row view and a richer card view that surfaces package descriptions and other metadata. For R users, the new packages.r.installer setting controls whether installs, updates, and removals use pak, base R, or an automatic choice. The setting that controls the pane has been renamed to packages.enabled; the previous positron.packages.enable setting is deprecated but still honored.
Inline output for Quarto
Inline output for .qmd documents was one of Positron's most-requested features ever, and it is now out of preview. A new toolbar button in Quarto documents gives you one-click access to running cells, managing inline output, and showing the console. Inserting code into a Quarto document from the History pane now automatically wraps it in cell markup when you drop it into a prose region. You can opt in to inline output with the positron.quarto.inlineOutput.enabled setting.
Faster startup
We continue to invest in performance improvements, and Positron starts up even faster in this release. Positron now caches previously discovered system interpreters, dramatically speeding up startup in new folders and projects; you can control this with the new interpreters.discoveryCache.enabled setting. On Windows, we fixed multi-minute startup delays by skipping slow PATH discovery by default, governed by the new positron.r.interpreters.pathDiscoveryMode setting. We also fixed an occasional hang at "Preparing" when starting Positron after updating to a new version.
R language intelligence
Positron's R language support now understands symbols within a file. You can rename a local symbol and have every use of it updated at once, and Go to Definition and Find References now work for local symbols, so you can jump to where a variable is defined (such as via <- or a function parameter) or see everywhere it is used within a function. Renaming symbols across files is not yet supported, but it is coming soon.

Check out all the changes for this release.
Posit Assistant
Last release we introduced Posit Assistant, our unified, data-science-focused approach to AI assistance. This release continues that work, and we want to give you advance notice that the older Positron Assistant will be deprecated in the next release. If you are still using Positron Assistant, we encourage you to migrate to Posit Assistant now. As a first step, the positron.assistant.enable setting is deprecated in favor of assistant.enabled, and the Positron Assistant welcome view now points you to Posit Assistant.
Posit Assistant supports the same broad set of providers as Positron Assistant, along with the Posit AI model provider and new experimental support for Google Vertex. Learn more about the differences between the new Posit Assistant and the older Positron Assistant.

New in Posit Assistant this release, you can use the Posit AI model provider for Next Edit Suggestions, which propose your likely next change as you edit. You can also access the Configure Language Model Providers item in the accounts menu.
Packages pane improvements
We introduced the Packages pane last release, and this release makes it more informative and flexible. A Show Help button and context menu entry on every package take you straight to its documentation in the Help pane. You can now combine category filters as an intersection, so you can narrow the list to, for example, packages that are both attached and outdated. A new Item Size toggle lets you switch between a compact row view and a richer card view that surfaces package descriptions and other metadata. For R users, the new packages.r.installer setting controls whether installs, updates, and removals use pak, base R, or an automatic choice. The setting that controls the pane has been renamed to packages.enabled; the previous positron.packages.enable setting is deprecated but still honored.
Inline output for Quarto
Inline output for .qmd documents was one of Positron's most-requested features ever, and it is now out of preview. A new toolbar button in Quarto documents gives you one-click access to running cells, managing inline output, and showing the console. Inserting code into a Quarto document from the History pane now automatically wraps it in cell markup when you drop it into a prose region. You can opt in to inline output with the positron.quarto.inlineOutput.enabled setting.
Faster startup
We continue to invest in performance improvements, and Positron starts up even faster in this release. Positron now caches previously discovered system interpreters, dramatically speeding up startup in new folders and projects; you can control this with the new interpreters.discoveryCache.enabled setting. On Windows, we fixed multi-minute startup delays by skipping slow PATH discovery by default, governed by the new positron.r.interpreters.pathDiscoveryMode setting. We also fixed an occasional hang at "Preparing" when starting Positron after updating to a new version.
R language intelligence
Positron's R language support now understands symbols within a file. You can rename a local symbol and have every use of it updated at once, and Go to Definition and Find References now work for local symbols, so you can jump to where a variable is defined (such as via <- or a function parameter) or see everywhere it is used within a function. Renaming symbols across files is not yet supported, but it is coming soon.

Check out all the changes for this release.
Announcing the Packages pane
Our Packages pane is available in this release as a preview feature. The new Packages pane brings streamlined package management directly into the IDE so you can see at a glance what's installed, what's attached, and what's out of date.
Find it in the Primary Sidebar by clicking the package icon. Positron automatically detects and integrates with your current interpreter; today we have support for pip, venv, uv, and conda for Python, plus base R, pak, and renv for R. You can search, sort, install, update, remove, filter by category (including "Outdated Packages"), and even see which packages are attached in your current session. To hide the pane, disable positron.packages.enable. Let us know how it fits into your workflow.
Inline output for Quarto
Inline output for .qmd documents was one of Positron's most-requested features ever, with many users telling us it was the one thing keeping them tied to RStudio or Jupyter notebooks. We are happy to share that Quarto inline output is available this release as a preview feature. Quarto kernels start automatically when you open a document with inline output, so you don't wait for a kernel on first execution. Each inline output cell shows a status line with execution status and elapsed time, and outputs are now collapsible when they get long. We've also added a tool to switch the interpreter used for inline output, support for Show Notebook Console for Quarto documents, and fixed a handful of papercuts around execution indicators, autocompletion, and the kernel selector. Enable inline output via the positron.quarto.inlineOutput.enabled setting.
Extensions available from Posit Public Package Manager
Positron's extension gallery now uses Posit Public Package Manager (P3M) by default, replacing Open VSX as the source for browsing and installing extensions. The catalog is the same set of extensions you already use, served from Posit infrastructure for reliable distribution. If you prefer to stay on Open VSX, the new positron.extensions.gallerySource setting lets you switch back at any time. For organizations on Posit Workbench, Posit Package Manager also added support for mirroring and serving VS Code extensions from your own instance, bringing the same governance, security, and air-gapped distribution to extensions that you already have for R and Python packages.
Positron Notebook Editor is now in beta
The Positron Notebook Editor for .ipynb files is officially moving from alpha to beta. This release brings a wave of polish and reliability we hope makes it ready for your daily workflow:
- Cleaner git diffs by default: New notebook.save.outputs and notebook.save.executionCounts settings let you exclude outputs and execution counts from saved notebook files so reviewers see only the relevant code changes.
- Stronger R support: R notebooks can now be debugged with breakpoints and the "Debug Cell" action, and R dataframe outputs in notebook cells now render in the inline Data Explorer for the same interactive exploration you get in the Console.
- Help on F1: Pressing F1 on a function in a notebook cell now opens the Help pane, just like in .py and .R files. Works for both Python and R Jupyter notebooks.
- UX polish: Long cell outputs default to scrolling instead of overwhelming the page, the cell action bar stays visible as you scroll through tall cells, markdown cells render footnotes, and your scroll position is preserved when switching between notebook tabs.
Posit Assistant and Posit AI
This release introduces two new AI options: Posit Assistant and Posit AI.
- You may have tried some of our previous experiments for AI code assistance available in Positron, Positron Assistant and/or Databot. We are now migrating to a more data-science-specific, holistic, unified approach to AI chat, built on the same Posit Assistant interface that we recently brought to RStudio. Instead of switching between tools, you get code generat

Check out all the changes for this release.
Announcing the Packages pane
Our Packages pane is available in this release as a preview feature. The new Packages pane brings streamlined package management directly into the IDE so you can see at a glance what's installed, what's attached, and what's out of date.
Find it in the Primary Sidebar by clicking the package icon. Positron automatically detects and integrates with your current interpreter; today we have support for pip, venv, uv, and conda for Python, plus base R, pak, and renv for R. You can search, sort, install, update, remove, filter by category (including "Outdated Packages"), and even see which packages are attached in your current session. To hide the pane, disable positron.packages.enable. Let us know how it fits into your workflow.
Inline output for Quarto
Inline output for .qmd documents was one of Positron's most-requested features ever, with many users telling us it was the one thing keeping them tied to RStudio or Jupyter notebooks. We are happy to share that Quarto inline output is available this release as a preview feature. Quarto kernels start automatically when you open a document with inline output, so you don't wait for a kernel on first execution. Each inline output cell shows a status line with execution status and elapsed time, and outputs are now collapsible when they get long. We've also added a tool to switch the interpreter used for inline output, support for Show Notebook Console for Quarto documents, and fixed a handful of papercuts around execution indicators, autocompletion, and the kernel selector. Enable inline output via the positron.quarto.inlineOutput.enabled setting.
Extensions available from Posit Public Package Manager
Positron's extension gallery now uses Posit Public Package Manager (P3M) by default, replacing Open VSX as the source for browsing and installing extensions. The catalog is the same set of extensions you already use, served from Posit infrastructure for reliable distribution. If you prefer to stay on Open VSX, the new positron.extensions.gallerySource setting lets you switch back at any time. For organizations on Posit Workbench, Posit Package Manager also added support for mirroring and serving VS Code extensions from your own instance, bringing the same governance, security, and air-gapped distribution to extensions that you already have for R and Python packages.
Positron Notebook Editor is now in beta
The Positron Notebook Editor for .ipynb files is officially moving from alpha to beta. This release brings a wave of polish and reliability we hope makes it ready for your daily workflow:
- Cleaner git diffs by default: New notebook.save.outputs and notebook.save.executionCounts settings let you exclude outputs and execution counts from saved notebook files so reviewers see only the relevant code changes.
- Stronger R support: R notebooks can now be debugged with breakpoints and the "Debug Cell" action, and R dataframe outputs in notebook cells now render in the inline Data Explorer for the same interactive exploration you get in the Console.
- Help on F1: Pressing F1 on a function in a notebook cell now opens the Help pane, just like in .py and .R files. Works for both Python and R Jupyter notebooks.
- UX polish: Long cell outputs default to scrolling instead of overwhelming the page, the cell action bar stays visible as you scroll through tall cells, markdown cells render footnotes, and your scroll position is preserved when switching between notebook tabs.
Posit Assistant and Posit AI
This release introduces two new AI options: Posit Assistant and Posit AI.
- You may have tried some of our previous experiments for AI code assistance available in Positron, Positron Assistant and/or Databot. We are now migrating to a more data-science-specific, holistic, unified approach to AI chat, built on the same Posit Assistant interface that we recently brought to RStudio. Instead of switching between tools, you get code generat

Check out all the changes for this release.
Announcing the Packages pane
Our Packages pane is available in this release as a preview feature. The new Packages pane brings streamlined package management directly into the IDE so you can see at a glance what's installed, what's attached, and what's out of date.
Find it in the Primary Sidebar by clicking the package icon. Positron automatically detects and integrates with your current interpreter; today we have support for pip, venv, uv, and conda for Python, plus base R, pak, and renv for R. You can search, sort, install, update, remove, filter by category (including "Outdated Packages"), and even see which packages are attached in your current session. To hide the pane, disable positron.packages.enable. Let us know how it fits into your workflow.
Inline output for Quarto
Inline output for .qmd documents was one of Positron's most-requested features ever, with many users telling us it was the one thing keeping them tied to RStudio or Jupyter notebooks. We are happy to share that Quarto inline output is available this release as a preview feature. Quarto kernels start automatically when you open a document with inline output, so you don't wait for a kernel on first execution. Each inline output cell shows a status line with execution status and elapsed time, and outputs are now collapsible when they get long. We've also added a tool to switch the interpreter used for inline output, support for Show Notebook Console for Quarto documents, and fixed a handful of papercuts around execution indicators, autocompletion, and the kernel selector. Enable inline output via the positron.quarto.inlineOutput.enabled setting.
Extensions available from Posit Public Package Manager
Positron's extension gallery now uses Posit Public Package Manager (P3M) by default, replacing Open VSX as the source for browsing and installing extensions. The catalog is the same set of extensions you already use, served from Posit infrastructure for reliable distribution. If you prefer to stay on Open VSX, the new positron.extensions.gallerySource setting lets you switch back at any time. For organizations on Posit Workbench, Posit Package Manager also added support for mirroring and serving VS Code extensions from your own instance, bringing the same governance, security, and air-gapped distribution to extensions that you already have for R and Python packages.
Positron Notebook Editor is now in beta
The Positron Notebook Editor for .ipynb files is officially moving from alpha to beta. This release brings a wave of polish and reliability we hope makes it ready for your daily workflow:
- Cleaner git diffs by default: New notebook.save.outputs and notebook.save.executionCounts settings let you exclude outputs and execution counts from saved notebook files so reviewers see only the relevant code changes.
- Stronger R support: R notebooks can now be debugged with breakpoints and the "Debug Cell" action, and R dataframe outputs in notebook cells now render in the inline Data Explorer for the same interactive exploration you get in the Console.
- Help on F1: Pressing F1 on a function in a notebook cell now opens the Help pane, just like in .py and .R files. Works for both Python and R Jupyter notebooks.
- UX polish: Long cell outputs default to scrolling instead of overwhelming the page, the cell action bar stays visible as you scroll through tall cells, markdown cells render footnotes, and your scroll position is preserved when switching between notebook tabs.
Posit Assistant and Posit AI
This release introduces two new AI options: Posit Assistant and Posit AI.
- You may have tried some of our previous experiments for AI code assistance available in Positron, Positron Assistant and/or Databot. We are now migrating to a more data-science-specific, holistic, unified approach to AI chat, built on the same Posit Assistant interface that we recently brought to RStudio. Instead of switching between tools, you get code generat

Positron Server for academic use via JupyterHub 🎓
Academic institutions can now offer Positron Server to their students at no cost through JupyterHub. If your institution already runs JupyterHub, you can add Positron as a launcher option alongside JupyterLab, with no additional infrastructure required. Students simply log in and select Positron from the launcher, getting the full Positron experience including rich Python and R support, the extension marketplace, and (optionally) Positron Assistant. To get started, review the eligibility criteria and send an email to academic-licenses@posit.co to request a free teaching license.
Positron Notebook Editor improvements 📓
This release brings new quality-of-life improvements to the Positron Notebook Editor, currently available for alpha testing. You can now reorder cells by dragging them and a new output action bar makes it easy to expand, collapse, or clear outputs without hunting through menus. The find widget now supports replace, inline Data Explorers provide more functionality, and long text outputs can be individually truncated. We also fixed several bugs affecting side-by-side notebooks, real-time streaming output, and scrollbar rendering. If you are using Positron Assistant for AI chat, the Assistant can now analyze your current cell output and suggest a logical next step in a "ghost cell" at the bottom of your notebook.
New R commands and debugging features ✨
This release continues to deepen Positron R support across several areas. Shiny applications now run in Console sessions instead of the terminal, making it possible to use the Positron R debugger with your Shiny apps for the first time. The debugger also gains support for conditional breakpoints, log breakpoints, and hit count breakpoints. Two new commands make it easier to work with resources from R packages: R: Run RStudio Addin lets you browse and execute installed addins from the Command Palette, and R: New R Markdown from Template lets you discover and use .Rmd templates from your installed packages.
Check out the changes for this release.

Positron Server for academic use via JupyterHub 🎓
Academic institutions can now offer Positron Server to their students at no cost through JupyterHub. If your institution already runs JupyterHub, you can add Positron as a launcher option alongside JupyterLab, with no additional infrastructure required. Students simply log in and select Positron from the launcher, getting the full Positron experience including rich Python and R support, the extension marketplace, and (optionally) Positron Assistant. To get started, review the eligibility criteria and send an email to academic-licenses@posit.co to request a free teaching license.
Positron Notebook Editor improvements 📓
This release brings new quality-of-life improvements to the Positron Notebook Editor, currently available for alpha testing. You can now reorder cells by dragging them and a new output action bar makes it easy to expand, collapse, or clear outputs without hunting through menus. The find widget now supports replace, inline Data Explorers provide more functionality, and long text outputs can be individually truncated. We also fixed several bugs affecting side-by-side notebooks, real-time streaming output, and scrollbar rendering. If you are using Positron Assistant for AI chat, the Assistant can now analyze your current cell output and suggest a logical next step in a "ghost cell" at the bottom of your notebook.
New R commands and debugging features ✨
This release continues to deepen Positron R support across several areas. Shiny applications now run in Console sessions instead of the terminal, making it possible to use the Positron R debugger with your Shiny apps for the first time. The debugger also gains support for conditional breakpoints, log breakpoints, and hit count breakpoints. Two new commands make it easier to work with resources from R packages: R: Run RStudio Addin lets you browse and execute installed addins from the Command Palette, and R: New R Markdown from Template lets you discover and use .Rmd templates from your installed packages.
Check out the changes for this release.

New Positron Notebook Editor is available for alpha testing! 📓
We're excited to invite you to try the new Positron Notebook Editor, our reimagined experience for working with Jupyter (.ipynb) notebooks. While still in alpha, we're releasing early because we believe the best tools are built in collaboration with the community.
The Positron Notebook Editor provides a batteries-included environment for data science workflows with integrated panes for inspecting variables and exploring dataframes, context-aware AI that understands your notebook's execution history and variables, and streamlined interpreter management.
To try it out, enable the positron.notebook.enabled setting. Check out our documentation to get started, and please share your feedback!
Connections Pane 🔌
The Connections Pane lets you create connections to databases, explore their schemas, and interactively preview tables in the Data Explorer. This release expands Python database support with new drivers for SQL Server (via pymssql or pyodbc), Databricks, Snowflake, and BigQuery, each with multiple authentication methods including OAuth and service account options.
For R users, database connections now also appear in the Variables Pane, making it easier to access and explore your connections alongside other session objects.
Breakpoints and debugging in R 🛠️
R now has first-class support for breakpoints in Positron. Set breakpoints in the editor gutter and step through your code interactively. In scripts, breakpoints are enabled after evaluation or sourcing. In packages, install the latest version of pkgload and call load_all() to activate breakpoints.
This release also adds debug-specific command history; use Ctrl+R or Cmd/Ctrl+Up to navigate through commands from your debugging sessions separately from your regular console history.
Check out the changes for this release.

Explore your Console history 📜
Positron has a new History Pane, similar to RStudio's. Your Console inputs are tracked by language and grouped by time period. You can search your history, send entries to the Console or an editor, and clear individual entries (handy if you accidentally entered a secret) or the entire history. Find the History pane on the right in the secondary side bar by default, or run History: Focus on History View from the command palette.
Positron Assistant 🤖
Positron Assistant, available as a preview feature, is now more powerful and reliable:
- Assistant has switched to using a native implementation of the Copilot completion engine, addressing a variety of authentication and performance issues. Copilot credentials now also work in Remote SSH sessions, and VS Code proxy settings are respected when connecting to GitHub Copilot.
- Assistant's tools, such as for editing files, installing packages, and getting directory structure, have been refined.
- You can now create custom agent files for your projects. Read more at https://positron.posit.co/assistant-chat-agents.
Try experimental Dev Container support 🐳
Positron now has early, experimental support for Dev Containers. You can build or rebuild a container and open your workspace inside it. To try it out, enable the dev.containers.enable setting. Note that this early version has some limitations; only single-container configurations are supported (no Docker Compose), and musl-based Linux distributions like Alpine are not yet supported.
Let us know how it goes with our new Dev Container support!
Changelog
Check out the changes for this release.

Positron is out of beta! ❤️
Stable releases of Positron are now available! Thank you to all our beta users who have been testing and giving feedback on our prereleases over the last year.
Daily builds 🪩
For users who are interested in trying out new features at a faster cadence, we now provide a channel of daily builds; you can opt in to these builds by changing the update.positron.channel setting to "dailies".
Migrating to Positron 💫
Our revamped Welcome page now includes two migration walkthroughs for users coming to Positron from other code editors and IDEs:
- One walkthrough shows users coming from VS Code what is different about the Positron UI, how to manage Python interpreters and Python-specific settings, and what to know about extensions in Positron.
- The other walkthrough shows users coming from RStudio how to navigate the UI, use familiar keyboard shortcuts, think about folders and workspaces, and configure formatting settings.
Bring up the Welcome page with the command Help: Welcome.
Positron Assistant 🤖
Positron Assistant, an AI client that provides LLM integration within Positron, is available in preview this release! Positron Assistant supports Chat via Anthropic as well as GitHub Copilot for inline completions. Use Positron Assistant to generate or refactor code, ask questions, get help with debugging, and get suggestions for the next steps in your data science projects. Compared to other IDE AI tooling, Positron Assistant offers novel data science and Positron-specific context. We have built out key integration points that allow the LLM to parse and interact with the current state of the Positron IDE, and will continue to expand these capabilities over time.
A few examples of these integration points include Positron’s:
- Variables pane, providing names, dimensions, and column names of dataframes and Python/R based database connections, as well as metadata for arrays, lists, and other objects in memory
- Plots pane for describing the current plot or suggesting variations and next steps for iterating on the current plot
- Console, available to the model for viewing inputs and code outputs, as well as allowing the user or an AI agent to execute code in the console and view the output
- Session state, providing what language is active in the console session (R or Python, including version), what packages are loaded, and what packages are installed
All of that Positron-specific context is in addition to the core capabilities of what traditional software-oriented GenAI clients have (active files, selected lines of code, files in project, training data in the model, etc).
For more information please see the Positron Assistant section of the user guide.
Changelog
Check out the changes for this release.

New Features
- [#6533, #6902, #6997, #7005, #7070, #7083, #7087] Made yet further improvements to our experimental multisession console support (especially in managing LSPs); read more at #6712 for how to opt in.
- [#6811] Python 3.8 has reached end-of-life and is no longer supported.
- [#5166] Unsupported versions of Python are now selectable with a warning.
- [#4263] Improved Python language server support for notebooks.
- [#6941] Updated the WSL launcher script to support kv9898.open-remote-wsl, a community-maintained Positron-compatible WSL extension. Thank you, @kv9898!
- [#6270] Python interpreters installed at /opt/python or included via interpreter settings are no longer tagged as "Unknown".
- [#4630] We now display a loading indicator for the small histogram/frequency table sparkline plots in the Data Explorer.
- [#3658] Tooltips are now displayed for truncated data when hovering over a data cell in the Data Explorer.
- [#5849] An explanatory tooltip is now shown when hovering over the null percentage graphic in the summary pane of the Data Explorer.
- [#7074] Added new Environment Variables built-in extension to configure global environment variables for all consoles and terminals.
Bug Fixes
- [#6845, #6595] Fixed bad truncation of the Console prompt and the working directory in Console bar.
- [#6798] Fixed runtime startup progress layout on Posit Workbench.
- [#4504] Fixed bug where Haystack didn't think it was in an iPython shell.
- [#6948] Fixed slow Python shutdowns and restarts.
- [#6636] Fixed ipykernel bundling not being disabled via the appropriate setting.
- [#3085] The Console now executes code entered before the runtime has fully started up.
- [#6289] Python autocomplete now no longer inappropriately prioritizes magics.
- [#7027] Pyenv interpreters are now available in the New Project Wizard when using the "native" Python locator.
- [#7058] Fixed issue with missing or duplicated Python interpreters when installed in opt/python or included via interpreter settings.
- [#4158] duckplyr data frames are no longer immediately materialized by the Variables pane. This requires the development version of duckplyr.
- [#6903] Improved the default width of the Data Explorer summary pane on wide displays.
- [#6898] Fixed occasional 1-pixel gaps in sparkline histograms in the Data Explorer.
Dependencies
- Updated code-oss upstream to v1.98.0