Sourced from holoviews's releases.

Version 1.22.1

This patch release includes a number of bug fixes and enhancements, and adds compatibility with Pandas 3. Many thanks to @​chrisbotica (first contribution), @​JelmerBot (first contribution), @​Azaya89, and @​hoxbro for their contributions.

Enhancements:

• Add text_outline_color and text_outline_width style to Labels (Bokeh) (#6738, #6746)
• Add support for timedelta axis and Narwhals duration (Bokeh) (#6734)
• Add numpy masked array to masked_types (#6732)

Bug Fixes:

• Have hover tool work across different DynamicMaps elements (Bokeh) (#6748)
• Suppress Runtime warnings for negative size values (Matplotlib) (#6744)
• Don't error if Heatmap is optimized and color style is used (#6730)
• Narwhals Series not being seen as arraylike and not computing dim expression (#6729)
• Check categorical legend dtypes for categories before accessing it (#6053)
• Element interface mask to allow for np.nan (#5790)

Documentation:

• Add documentation for legend_opts (Bokeh) (#6751)

Compatibility:

• Pandas 3.0.0 (#6749)

Sourced from holoviews's changelog.

Version 1.22.1

December 5, 2025

This patch release includes a number of bug fixes and enhancements, and adds compatibility with Pandas 3. Many thanks to @​chrisbotica (first contribution), @​JelmerBot (first contribution), @​Azaya89, and @​hoxbro for their contributions.

Enhancements:

• Add text_outline_color and text_outline_width style to Labels (Bokeh) (#6738, #6746)
• Add support for timedelta axis and Narwhals duration (Bokeh) (#6734)
• Add numpy masked array to masked_types (#6732)

Bug Fixes:

• Have hover tool work across different DynamicMaps elements (Bokeh) (#6748)
• Suppress Runtime warnings for negative size values (Matplotlib) (#6744)
• Don't error if Heatmap is optimized and color style is used (#6730)
• Narwhals Series not being seen as arraylike and not computing dim expression (#6729)
• Check categorical legend dtypes for categories before accessing it (#6053)
• Element interface mask to allow for np.nan (#5790)

Documentation:

• Add documentation for legend_opts (Bokeh) (#6751)

Compatibility:

• Pandas 3.0.0 (#6749)

Version 1.22.0

November 10, 2025

This release adds Narwhals support for broader dataframe compatibility. By doing so, we now also support Polars and DuckDB data backends. Another new feature is the addition of sizebar support for Points elements, allowing for better visualization of point sizes in plots. Along with these new features, this release includes numerous enhancements, bug fixes, compatibility updates, and improved documentation. Many thanks to @​epaaso (first contribution), @​thuydotm (first contribution), @​ahuang11, @​Azaya89, @​maximlt, @​philippjfr, @​stanwest, and @​hoxbro for their contributions.

New Features:

• Support Narwhals (#6567, #6725)
• Add sizebar support to Point (#6663)

Enhancements:

• Add gridstyle to matplotlib (#6700)
• Add from_sparse classmethod for Graph (#6673)
• Add support for synthetic legends on ImageStackPlot (#6662)
• Sync tools with Bokeh and use auto_box_zoom as default (#6650)

... (truncated)

• 302614b docs: Add documentation for legend_opts (#6751)
• bd5ba62 docs: Update changelog 1.22.1 (#6747)
• 9c841f3 enh: Add support for text_outline_width (#6746)
• 05417c2 compat: Pandas 3.0.0 (#6749)
• 599c66d fix: Have hovertool work across DynamicMaps elements (#6748)
• 7f44703 chore: Update pre-commit (#6750)
• 47f696f test: Add UI tests for Heatmaps IndexError fix (#6438) (#6708)
• c717261 ci: Add tmp pin for conda-libmamba-solver
• c4ee605 fix: Suppress RunTime warnings for negative size values (#6744)
• 349a4cf test: Fix flaky ui test (#6741)
• Additional commits viewable in compare view

Sourced from param's releases.

Version 2.3.1

This patch release fixes a regression introduced in the param.parameterized.edit_constant context manager.

Fixes:

• Fix edit_constant to prevent class value mutation when not constant

Full Changelog

Sourced from param's changelog.

Version 2.3.1

Date: 2025-11-25

This patch release fixes a regression introduced in the param.parameterized.edit_constant context manager.

Fixes:

• Fix edit_constant to prevent class value mutation when not constant

Full Changelog

Version 2.3.0

Date: 2025-11-13

This minor release brings a number of new features, enhancements, bug fixes, and documentation improvements. Notably, it introduces the new Parameter attributes default_factory and metadata, and the ParameterizedABC class to declare Parameterized abstract base classes. All the docstrings have been improved thanks to a massive effort from @​MarcSkovMadsen. Several deprecated APIs have now been removed, and the minimum supported Python version has been bumped to 3.10. Many thanks to our new contributors @​Azaya89, @​Coderambling, and @​ypsah, as well as to @​MarcSkovMadsen, @​hoxbro, @​maximlt, @​philippjfr, and all others for their continued maintenance and development efforts.

Features:

• Add a default_factory attribute to the base Parameter (#1092)
• Add a metadata attribute to the base Parameter (#1094)
• Allow declaring Parameterized abstract base classes by inheriting from ParameterizedABC => This approach should be favored over __abstract = True (#1031)
• Add .rx.set() method (#957)

Enhancements:

• Add missing docstrings and enhance existing ones (#992, #994, #997, #998)
• Better error when calling len() on a reactive expression (#1033)
• Raise AttributeError when attempting to set the value attribute of a reactive expression (#1022)
• Add an is_instance attribute to the List Parameter (#1023)
• Allow depends(..., on_init=True) to be applied to async method (#1067)
• Add concrete keyword to the descendents function => Prefer concrete(<cls>, descendents=True) over concrete_descendents(<cls>) (#1027)

Performance Enhancements:

• Improve import time by lazy importing "slow" modules (#1037)
• Only update Parameter signatures when needed (#1038)

Bug Fixes:

• Fix calling descendents on an object() instance (#1024)
• Ensure edit_constant resets class and instance level parameters (#1015)
• Ensure constant attribute is inherited (#1017)
• Ensure type checkers skip ParameterizedFunction.__init__ (#1039)
• Fix .values()/get_value_generator() dealing with Dynamic params and an updated default value (#1058)
• Do not remove nested_refs when updating another ref (#1061)
• Fix error message of ReactiveESMMetaClass (#1064)
• Fix reactive_ops.__call__ (#1069)
• unwatch no longer logs a warning and idempotent behavior clarified (#1018)

... (truncated)

• 8ad25ad Prepare version 2.3.1 (#1102)
• 94ab7e0 fix edit_constant to prevent class value mutation when not constant (#1101)
• 5517f87 Update project description in pyproject.toml and enhance meta.yaml with detai...
• 54da93e Add release notes for 2.3.0 (#1096)
• 0b66fe6 Update the README and the landing page (#1095)
• 60f093d Update cloudfront urls (#1097)
• fe8f178 Add the metadata Parameter attribute (#1094)
• 5309261 Deprecate Selector's compute_default_fn slot and compute_default() method (#1...
• e00e76b Add a default_factory attribute to Parameter (#1092)
• ef39804 remove warning emitted by concrete_descendents (#1093)
• Additional commits viewable in compare view

Sourced from hvplot's releases.

Version 0.12.2

The 0.12.2 release is a patch release that brings a few bugfixes and enhancements. Many thanks to @​ahuang11, @​Azaya89, @​hoxbro, @​MarcSkovMadsen, @​maximlt, and @​MridulS for their contributions!

Enhancements:

• Automatically convert xlim/ylim to Web Mercator when tiles=True (#1685)
• Automatically use y as default text kwarg if only two columns (#1681)

Bug Fixes:

• Fix handling of hv.dim expressions in size and color parameters (#1691)
• Exclude internal style columns (_color and _size) from tooltips (#1690)

Documentation:

• Document attr_labels (#1677)
• Fix typo in the NetworkX user guide (#1686)
• Scale networkx layout and fix graphviz init in doc build (#1672)
• Roadmap updates (#1694)

Compatibility:

• Ensure Python 3.14 support (#1688, #1703)
• Compatibility with the latest versions of DuckDB (#1682)
• Compatibility with the upcoming Pandas 3.0 (#1704)

Infrastructure / Tests:

• Address warnings emitted by the unit tests suite (#1700)
• Miscellaneous changes (#1697, #1698, #1699, #1701, #1702, #1706, #1707)

Full Changelog

Sourced from hvplot's changelog.

Version 0.12.2 (2025-12-18)

The 0.12.2 release is a patch release that brings a few bugfixes and enhancements. Many thanks to @​ahuang11, @​Azaya89, @​hoxbro, @​MarcSkovMadsen, @​maximlt, and @​MridulS for their contributions!

Enhancements:

• Automatically convert xlim/ylim to Web Mercator when tiles=True (#1685)
• Automatically use y as default text kwarg if only two columns (#1681)

Bug Fixes:

• Fix handling of hv.dim expressions in size and color parameters (#1691)
• Exclude internal style columns (_color and _size) from tooltips (#1690)

Documentation:

• Document attr_labels (#1677)
• Fix typo in the NetworkX user guide (#1686)
• Scale networkx layout and fix graphviz init in doc build (#1672)
• Roadmap updates (#1694)

Compatibility:

• Ensure Python 3.14 support (#1688, #1703)
• Compatibility with the latest versions of DuckDB (#1682)
• Compatibility with the upcoming Pandas 3.0 (#1704)

Infrastructure / Tests:

• Address warnings emitted by the unit tests suite (#1700)
• Miscellaneous changes (#1697, #1698, #1699, #1701, #1702, #1706, #1707)

Full Changelog

Version 0.12.1 (2025-08-29)

The 0.12.1 release is a patch release that brings a few bugfixes and enhancements, and most importantly adds a new extended Gallery top-level section with about 50 examples, replacing the previous and limited Reference Gallery. Many thanks to @​kmnhan (first contribution!), @​hoxbro, @​Azaya89, and @​maximlt for their contributions!

Enhancements:

• hvplot.show supports displaying Param/Panel reactive expressions (#1651)

Bug Fixes:

• Fix error raised when importing sampledata and hvsampledata is not installed (#1649)
• Ensure the hist plotting method uses bin_range (#1663)

Documentation:

... (truncated)

• f9661ea Add release notes for version 0.12.2 (#1708)
• f711ae2 Roadmap updates (#1694)
• 66a008d Misc fixes before 0.12.2 (#1707)
• cc45e10 bump docs/build python to 3.11 (#1706)
• e403741 Pandas 3.0 compatibility (#1704)
• 73e43b6 Enable full testing of Python 3.14 (#1703)
• 8eb8582 bump github actions (#1702)
• 3454b8e Address warnings emitted by the unit tests suite (#1700)
• 9ba7030 bump pre-commit repos (#1701)
• d9f565c Fix the docs build (#1699)
• Additional commits viewable in compare view

Sourced from panel's releases.

Version 1.8.4

Panel 1.8.4 includes key bug fixes and behavior improvements around event ordering, Tabulator interop, and Jupyter/Notebook usage. It also improves support for async usage, validation, and app routing—plus quality-of-life enhancements for both developers and users. Thanks to @​philippjfr, @​hoxbro, @​maximlt, @​ahuang11, @​MarcSkovMadsen, @​TheoMathurin, @​ruoyu0088, and @​dieterweber for your contributions to this release!

✨ Enhancements

• Add config toggle to disable Bokeh validation (#8294)
• Allow Tabulator.row_content to be an async function (#8309)
• Improve documentation and validation of patch_value (#8312)
• Propagate layout-related parameters to NestedSelect (#8317)

🐛 Bug Fixes

• Fix crash when emptying a DataFrame (#8256)
• Ensure new Panel instance is always loaded (#8293)
• Improve robustness of Bokeh/Panel notebook integration (#8289)
• Fix notebook reading errors by explicitly using UTF-8 encoding (#8304)
• Ensure param.Action only triggers one event (#8305)
• Fix conflict when using both ipywidgets and Tabulator extensions (#8308)
• Ensure discrete events (e.g. button clicks) are scheduled after change events (#8311, #8319)
• Reinstate application name as default index page title (#8313)
• Redirect requests to the prefixed root when --prefix is set (#8321)
• Ensure non-active Tabs are not clickable (#8324)

🧪 Maintenance & Infrastructure

• Update Python/JS dependencies (#8318)
• Fix type checking errors (#8314)
• Pin jupyterlite-core temporarily (#8315)
• Clean up pixi.toml project config (#8303)

Sourced from panel's changelog.

Version 1.8.4

Panel 1.8.4 includes key bug fixes and behavior improvements around event ordering, Tabulator interop, and Jupyter/Notebook usage. It also improves support for async usage, validation, and app routing—plus quality-of-life enhancements for both developers and users. Thanks to @​philippjfr, @​hoxbro, @​maximlt, @​ahuang11, @​MarcSkovMadsen, @​TheoMathurin, @​ruoyu0088, and @​dieterweber for your contributions to this release!

✨ Enhancements

• Add config toggle to disable Bokeh validation (#8294)
• Allow Tabulator.row_content to be an async function (#8309)
• Improve documentation and validation of patch_value (#8312)
• Propagate layout-related parameters to NestedSelect (#8317)

🐛 Bug Fixes

• Fix crash when emptying a DataFrame (#8256)
• Ensure new Panel instance is always loaded (#8293)
• Improve robustness of Bokeh/Panel notebook integration (#8289)
• Fix notebook reading errors by explicitly using UTF-8 encoding (#8304)
• Ensure param.Action only triggers one event (#8305)
• Fix conflict when using both ipywidgets and Tabulator extensions (#8308)
• Ensure discrete events (e.g. button clicks) are scheduled after change events (#8311, #8319)
• Reinstate application name as default index page title (#8313)
• Redirect requests to the prefixed root when --prefix is set (#8321)
• Ensure non-active Tabs are not clickable (#8324)

🧪 Maintenance & Infrastructure

• Update Python/JS dependencies (#8318)
• Fix type checking errors (#8314)
• Pin jupyterlite-core temporarily (#8315)
• Clean up pixi.toml project config (#8303)

⚠️ Compatibility & Deprecations

• Heads up: Starting with Panel 1.9.0, pandas will no longer be installed by default. If your code depends on pandas and you were relying on Panel to install it implicitly, you’ll need to add it as an explicit dependency in your environment or project configuration.

Version 1.8.3

This patch release brings targeted UI fixes, improves Python and Django compatibility, and enhances the developer and contributor experience. It also includes fixes for Tabulator, Pyodide, templates, and app interactivity, along with several documentation and robustness improvements. Many thanks to @​ahuang11, @​hoxbro, @​maximlt, @​MarcSkovMadsen, @​Coderambling and @​philippjfr for their contributions to this release.

✨ Enhancements

• Align CSS variables between default and dark themes (#8248)
• Ensure behavior of dynamically served apps is aligned with file based apps (#8249)
• Add export() method to Vega pane (#8266)
• Add official support for Python 3.14 (#8241)
• Add render_policy="manual" option for JSComponent (#8285)
• Disable text selection when editing in EditableTemplate (#8286)
• Prevent full text selection when replacing input values on CodeEditor (#8262)

🐛 Bug Fixes

... (truncated)

• d93db73 Bump panel.js to 1.8.4
• 6c18e89 Ensure non-active tabs are not clickable (#8324)
• dd0ed51 Bump panel.js version to 1.8.4.rc-0
• a52ee5a Add CHANGELOG for 1.8.4 (#8322)
• 89ea0d3 Redirect requests to prefix root (#8321)
• b0e7457 Don't error out when emptying a dataframe (#8256)
• ba5ce6f Ensure discrete events are always scheduled after change events (#8319)
• 0341869 Ipywigets and Tabulator extensions not working if both loaded (#8308)
• 3292ba6 Propagate NestedSelect layoutable kwargs (#8317)
• a95e541 Allow Tabulator.row_content to be an awaitable (#8309)
• Additional commits viewable in compare view

Sourced from optuna's releases.

v4.6.0

This is the release note of v4.6.0.

Highlights

Optuna Dashboard LLM Integration

Optuna Dashboard is a web-based tool that helps you easily explore and visualize your Optuna optimization history. The latest release, v0.20.0, introduces LLM integration, enabling the natural language-based Trial filtering and automatic Plotly chart generation. Please refer to the release blog for more details.

Further Speed Enhancements for GPSampler

GPSampler becomes significantly faster owing to parallelized multi-start acquisition function optimization via PyTorch batching, and to optimized NumPy operations.

Full Support for Multi-objective and Constrained Optimization in AutoSampler

We have fully implemented sampler selection rules for multi-objective and constrained optimization in AutoSampler. For more details, please see our blog post, "AutoSampler: Full Support for Multi-Objective & Constrained Optimization."

Additions of Robust Bayesian Optimization Packages

Robust Bayesian optimization methods have been added to OptunaHub. Robust Bayesian optimization enables suggesting more robust parameters against input perturbations. This is especially helpful for Sim2Real transfer scenarios.

Breaking Changes

• Drop Python 3.8 & Support Python 3.13 (optuna/optuna-integration#253)
• Change TrialState.__repr__ and TrialState.__str__ (#6281, thanks @​ktns!)
• Drop Python 3.8 (#6302)

Enhancements

• Use iterator for lazy evaluation in journal storage’s read_logs (#6144)
• Cache pair-wise distances to speed up GPSampler (#6244)
• Speed up LogEI implementation (#6248)
• Speed up EHVI by optimizing tensor operation order (#6257)
• Use the decremental approach in the hypervolume contribution calculation (#6264)
• Use cached trials in TPESampler's sample_relative (#6265)
• Remove find_or_raise_by_id in _set_trial_value_without_commit (#6266)
• Speed up GPSampler by Batching Acquisition Function Evaluations (#6268, thanks @​Kaichi-Irie!)
• Use cached study direction and trial for _CachedStorage's get_best_trial (#6270)
• Add upsert in _set_trial_attr_without_commit for PostgreSQL (#6282, thanks @​jaikumarm!)
• Add states argument to _read_trials_from_remote_storage (#6288)
• Use cached trials for intersection search space calculation (#6291)
• Replace np.linalg.inv with np.linalg.cholesky to speed up GPSampler for numpy>=2.0.0 (#6296)

... (truncated)

• 3da7487 Merge pull request #6324 from nabenabe0928/bump-up-to-v4.6.0
• ddf7fc1 Bump up to version number 4.6.0
• 0765893 Merge pull request #6323 from Jongwan93/format-to-fstring-_percentile.py
• 1408cc7 suggestion added
• 7e5f708 Merge pull request #6321 from nabenabe0928/fix-exhaustive-search
• d69de4b refactor .format to fstring in _percentile.py
• 103db7d Add safety guard for exhaustive search
• b5d1139 Merge pull request #6319 from y0z/feature/updat-readme-news
• 1f55093 Update NEWS section
• 3073e43 Merge pull request #6304 from nabenabe0928/refactor-emmr
• Additional commits viewable in compare view

Sourced from plotly's releases.

v6.5.0

Updated

• Update plotly.js from version 3.2.0 to version 3.3.0. See the plotly.js release notes for more information. [#5421]. Notable changes include:
  • Add hovertemplate for candlestick and ohlc traces [#7619]

Fixed

• Fix bug where numpy datetime contained in Python list was converted to integer [#5415]

Full Changelog: plotly/plotly.py@v6.4.0...v6.5.0

Sourced from plotly's changelog.

[6.5.0] - 2025-11-17

Updated

• Update plotly.js from version 3.2.0 to version 3.3.0. See the plotly.js release notes for more information. [#5421]. Notable changes include:
  • Add hovertemplate for candlestick and ohlc traces [#7619]

Fixed

• Fix bug where numpy datetime contained in Python list was converted to integer [#5415]

[6.4.0] - 2025-11-02

Updated

• Update plotly.js from version 3.1.1 to version 3.2.0. See the plotly.js release notes for more information. [#5357]. Notable changes include:
  • Add hovertemplatefallback and texttemplatefallback attributes [#7577]
  • Add "SI extended" formatting rule for tick exponents on axis labels, allowing values to be displayed with extended SI prefixes (e.g., femto, pico, atto) [#7249]

Deprecated

• Deprecate create_hexbin_mapbox in favor of create_hexbin_map, update related function calls [5358], with thanks to @​ajlien for the contribution!

[6.3.1] - 2025-10-02

Updated

• Update Plotly.js from version 3.1.0 to version 3.1.1. See the Plotly.js release notes for more information. [#5357]. Notable changes include:
  • Fix issue preventing Scattergl plots with text elements from rendering [plotly.js#7563]
• Use native legends when converting from matplotlib [#5312], with thanks to @​robertoffmoura to the contribution!
• Allow shared_yaxes to work with secondary axes [#5180], with thanks to @​gmjw for the contribution!

Fixed

• Fix issue where width/height in plot layout were not respected during Kaleido image export [#5325]
• Fix typo in default argument to _ternary_contour.py [#5315], with thanks to @​Lexachoc for the contribution!
• Fix incorrect fig.show() behavior when ipython is installed [#5258]

[6.3.0] - 2025-08-12

Updated

• Updated Plotly.js from version 3.0.1 to version 3.1.0. See the Plotly.js release notes for more information. [#5318]

Added

• Exposed plotly.io.get_chrome() as a function which can be called from within a Python script. [#5282]

Fixed

• Resolved issue causing extraneous engine deprecation warnings [#5287], with thanks to @​jdbeel for the contribution!

[6.2.0] - 2025-06-26

Added

• Add SRI (Subresource Integrity) hash support for CDN script tags when using include_plotlyjs='cdn'. This enhances security by ensuring browser verification of CDN-served plotly.js files [#5165] (with thanks to @​ddworken)

Fixed

• Allow setting Plotly.js path via pio.defaults [#5207]

... (truncated)

• b19f8e5 changelog formatting
• 1ec9a16 Update CHANGELOG.md
• 83a2b0b version changes for v6.5.0
• a49f495 Merge pull request #5421 from plotly/update-plotlyjs-3.3.0
• f687526 update plotly/labextension with files from ci
• 83ab425 update package-lock with new plotly.js
• a3480f0 package-lock indentation
• e519d5a update plotly.js to v3.3.0
• 22b0ac0 Merge pull request #5415 from plotly/fix-np-date-handling-issue
• aa30be5 Update _plotly_utils/basevalidators.py
• Additional commits viewable in compare view

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