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---
title: Unbundling and Deprecating Low-Usage Plugins in PyCharm
description: JetBrains is unbundling and deprecating several low-usage plugins from PyCharm starting with version 2026.2, including Data Wrangler, Hugging Face, Google...
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og:description: JetBrains is unbundling and deprecating several low-usage plugins from PyCharm starting with version 2026.2, including Data Wrangler, Hugging Face, Google...
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# Unbundling and Deprecating Low-Usage Plugins in PyCharm

**[JetBrains](https://daily.dev/sources/jetbrains)** · 3 min read · 3 upvotes · 0 comments

## Summary

JetBrains is unbundling and deprecating several low-usage plugins from PyCharm starting with version 2026.2, including Data Wrangler, Hugging Face, Google Colab, Spark/PySpark, AI Playground, AI Agents Debugger, dbt, and Databricks. These plugins will no longer be bundled or actively maintained by the PyCharm team, though users can still install compatible versions from JetBrains Marketplace for 2026.2. Starting with v2026.3, no new compatible versions will be published, though source code will move to an open Obsolete Plugins repository on GitHub for community maintenance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.jetbrains.com/pycharm/2026/08/unbundling-and-deprecating-low-usage-plugins-in-pycharm>

## Questions this post answers

### Which plugins are being unbundled and deprecated from PyCharm in version 2026.2?

PyCharm 2026.2 unbundles and deprecates Data Wrangler, Hugging Face, Google Colab (Jupyter Notebook Colab), Spark including PySpark support, AI Playground, AI Agents Debugger, dbt, and Databricks. These plugins will no longer receive new features or active maintenance from the PyCharm team, though compatible versions remain installable from JetBrains Marketplace for that release.

_daily.dev helps developers track plugin deprecations before an IDE upgrade breaks their workflow._

### What happens to a JetBrains plugin after it is deprecated and unbundled from PyCharm?

The plugin's code moves to a separate Obsolete Plugins repository on GitHub under an open model, remaining searchable and installable on JetBrains Marketplace with a fixed compatibility range. The PyCharm team stops rebuilding it with new releases, but the community can still build and install it manually, and volunteers are invited to take over maintenance.

_Developers deciding whether to keep relying on a deprecated plugin can weigh options like this via daily.dev._

### Will Databricks and dbt plugins still work after upgrading to PyCharm 2026.3?

Starting with PyCharm 2026.3, the PyCharm team will no longer publish compatible versions of the deprecated plugins, including Databricks and dbt support. Users who depend on these integrations must obtain compatible builds from the community-maintained Obsolete Plugins repository or switch to alternative tooling before upgrading.

_Teams planning an IDE upgrade can check breaking changes like this through daily.dev first._

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---

Tags: [#python](https://daily.dev/tags/python), [#devtools](https://daily.dev/tags/devtools), [#jetbrains](https://daily.dev/tags/jetbrains), [#jupyter](https://daily.dev/tags/jupyter)

[View this post on daily.dev](https://daily.dev/posts/unbundling-and-deprecating-low-usage-plugins-in-pycharm-fvas7tqme)

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