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Updates the requirements on numpy, scipy, cvxpy, plotly, streamlit, pytest and mypy to permit the latest version.
Updates numpy to 2.5.1

Release notes

Sourced from numpy's releases.

v2.5.1 (July 4, 2026)

NumPy 2.5.1 Release Notes

The NumPy 2.5.1 is a patch release that fixes bugs discovered after the 2.5.0 release. The most noticeable is the fix is to the numpy datetime cython API which should allow downstream to support NumPy versions older than 2.5. Preparation for Python 3.15 continues along with typing improvements.

This release supports Python versions 3.12-3.14

Changes

  • The minimum supported GCC version has been updated from 9.3.0 to 10.3.0

    (gh-31843)

Contributors

A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Adhyan Gupta +
  • Ankit Ahlawat
  • Charles Harris
  • Iason Krommydas
  • Joren Hammudoglu
  • Kumar Aditya
  • Nathan Goldbaum
  • Sebastian Berg
  • Ties Jan Hefting +
  • Vineet Kumar

Pull requests merged

A total of 20 pull requests were merged for this release.

  • #31707: MAINT: Prepare 2.5.x for further development
  • #31721: CI: fix new cython-lint errors (#31711)
  • #31723: MAINT: Update meson to match main
  • #31729: TST: use setup-sde instead of curl to get SDE binaries (#31727)
  • #31829: BUG: Relax finfo to be easier accessible for all user dtypes...
  • #31831: TYP: Fix flatiter.__next__ return type for object_ and...
  • #31832: BUG: avoid deadlocks using NpyString API (#31682)
  • #31833: BUG: fix out array leak in reduceat and accumulate when dtype...
  • #31835: BUG: fix numpy datetime cython APIs to be compatible with older...
  • #31836: TYP: Fix incorrect dtype inference of asarray([]) (#31732)
  • #31837: TYP: Fix np.ma.masked_array 2.5.0 regression
  • #31838: FIX: Refactor error handling in array_setstate to prevent typecode...
  • #31839: TST: xfail multithreaded BLAS test more generously
  • #31840: MAINT: Rename subroutine for crackfortran tests

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

  • Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits
  • 5e1d03f Merge pull request #31863 from charris/prepare-2.5.1
  • ad0b66b REL: Prepare for the NumPy 2.5.1 release.
  • 9df8516 Merge pull request #31858 from charris/backport-31688
  • 4dee265 Merge pull request #31857 from charris/backport-31775
  • dc8d553 Merge pull request #31856 from charris/backport-31846
  • 67cb4a8 fix:Signed integer overflow in datetime.c (#31688)
  • baa2589 TST: Clean up imports, formatting, and assertions
  • 2fe5ba4 TEST: Refactor tests to use np.testing.assert_raises_regex per review
  • bb46581 MAINT: Remove deprecated Python recursion fix
  • 8f34214 MAINT: Move SeedSequence recursion guard to C-layer and add tests
  • Additional commits viewable in compare view

Updates scipy to 1.18.0

Release notes

Sourced from scipy's releases.

SciPy 1.18.0 Release Notes

SciPy 1.18.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.18.x branch, and on adding new features on the main branch.

This release requires Python 3.12-3.14 and NumPy 2.0.0 or greater.

Highlights of this release

  • SciPy now supports three different build modes for BLAS and LAPACK LP64/ILP64 support, and machinery is provided for downstream cython_lapack consumers to gracefully handle LP64/ILP64 backend builds. ILP64 support has been substantially improved across the SciPy library.
  • Remaining Fortran to C translations have been completed---an experimental Fortran-free build option is now available to developers for testing purposes. Developer feedback is welcome on Fortran-free builds.
  • scipy.signal.whittaker_henderson now provides access to Whittaker-Henderson smoothing of a discrete signal.
  • A large number of scipy.stats functions now support lazy arrays and JAX JIT. Array API support has been improved substantially in SciPy, with at least 21 functions gaining new support in this release. 16 scipy.stats functions have also gained support for MArray input.

New features

scipy.fft improvements

  • SciPy's internal FFT backend has switched from pocketfft to its successor package ducc0.fft, which features several incremental improvements. The most significant of those from SciPy's perspective is probably that storage requirements for internally cached plans have been significantly reduced for most long 1D transforms. Plans that require more storage than 1MB will no longer be cached; this mainly affects huge 1D transforms of prime and near-prime sizes.

scipy.interpolate improvements

... (truncated)

Commits
  • 54ef542 REL: 1.18.0 release commit
  • a45e463 Merge pull request #25395 from tylerjereddy/treddy_prep_1.18.0_final
  • ee2442e TYP, MAINT, TST: PR 25395 revisions
  • 3225154 DOC: PR 25395 revisions
  • 14c7bd7 TYP: Fix mypy errors with pytest==9.1.0 (#25410)
  • 71522e9 DOC: revise SciPy 1.18.0 release notes
  • 92f8482 MAINT: fix errors from pytest 9.1 (#25378)
  • 7b27bf4 TST, MAINT: modernize spatial tests for pytest 10 (#25376)
  • d05b640 Merge pull request #25347 from tylerjereddy/treddy_version_bump_1.18.0rc3
  • e60fe8b REL: set to 1.18.0rc3 unreleased
  • Additional commits viewable in compare view

Updates cvxpy to 1.9.2

Commits
  • 7cb26d3 Release v1.9.2
  • bcad203 Patch/1.9.2
  • fac9f6f CI: install Moreau from PyPI instead of private Fury index
  • a89e5cf Fix N-D parametric matmul in the COO and SCIPY canonicalization backends (#3401)
  • c6ac6c7 Add missing numpy_numeric decorator to entr.numeric (#3379)
  • 6ba794a Fix scrambled ExpCone duals for matrix-shaped arguments (#3377)
  • eeddbb7 fix cone head lb (#3364)
  • 20ae79d Dedup identical subtrees in Dcp2Cone canonicalization (#3355)
  • eeb13c3 Updates to the wishlist (#3421)
  • 951e8b8 Fix factor-2 error in Hermitian PSD constraint dual recovery (#3388)
  • Additional commits viewable in compare view

Updates plotly to 6.9.0

Release notes

Sourced from plotly's releases.

v6.9.0

Fixed

  • Raise a clear ValueError when an unsupported marginal plot type is passed to Plotly Express, instead of failing later with a cryptic 'NoneType' object has no attribute 'constructor' message [#5625], with thanks to @​eugen-goebel for the contribution!

Updated

  • Update plotly.js from version 3.6.0 to version 3.7.0. See the plotly.js release notes for more information [#5639]. Notable changes include:
    • Rename sendDataToCloud modebar button to sendChartToCloud, and update to upload chart to Plotly Cloud [#7802, #7852, #7854]. NOTE: The Plotly Cloud endpoint for receiving charts is not yet functional, so this button won't complete the upload.
    • Fix stale scattergl error bars after toggling traces with mixed error bar visibility [#7773], with thanks to @​JulienIcon for the contribution!
    • Fix geo fitbounds to choose a compact longitude range when point data straddles the antimeridian [#7837], with thanks to @​SharadhNaidu for the contribution!

Full Changelog: plotly/plotly.py@v6.8.0...v6.9.0

Changelog

Sourced from plotly's changelog.

[6.9.0] - 2026-07-09

Fixed

  • Raise a clear ValueError when an unsupported marginal plot type is passed to Plotly Express, instead of failing later with a cryptic 'NoneType' object has no attribute 'constructor' message [#5625], with thanks to @​eugen-goebel for the contribution!

Updated

  • Update plotly.js from version 3.6.0 to version 3.7.0. See the plotly.js release notes for more information [#5639]. Notable changes include:
    • Rename sendDataToCloud modebar button to sendChartToCloud, and update to upload chart to Plotly Cloud [#7802, #7852, #7854]. NOTE: The Plotly Cloud endpoint for receiving charts is not yet functional, so this button won't complete the upload.
    • Fix stale scattergl error bars after toggling traces with mixed error bar visibility [#7773], with thanks to @​JulienIcon for the contribution!
    • Fix geo fitbounds to choose a compact longitude range when point data straddles the antimeridian [#7837], with thanks to @​SharadhNaidu for the contribution!

[6.8.0] - 2026-06-03

Added

  • Add optional font parameter for make_subplots [#5393], with thanks to @​Zomtir for the contribution!

Fixed

  • Fix issue where user-specified color_continuous_scale was ignored when template had autocolorscale=True [#5439], with thanks to @​antonymilne for the contribution!
  • Use presence of COLAB_NOTEBOOK_ID env var to enable Colab renderer instead of testing import of google.colab [#5473], with thanks to @​kevineger for the contribution!
  • Fix incorrect annotation placement for add_vline, add_hline, add_vrect, and add_hrect on datetime axes [#5508], with thanks to @​mosh3eb for the contribution!
  • Update tests to be compatible with numpy 2.4 [#5522], with thanks to @​thunze for the contribution!
  • Fix issue where js/ directory was unintentionally installed as a top-level Python package when installing plotly [#5587]
  • Add default headers to be passed in to Kaleido v1.3.0 to avoid blocked Open Street Map tiles [#5588]
  • Propagate the requested default_height/default_width to the outer wrapper div produced by to_html so that responsive (percentage) dimensions inherit from a sized parent container instead of collapsing to the plotly.js 450px fallback [#5591], with thanks to @​SharadhNaidu for the contribution!

Updated

  • The __eq__ method for graph_objects classes now returns NotImplemented to give the other operand an opportunity to handle the comparison [#5547], with thanks to @​RazerM for the contribution!
  • Update plotly.js from version 3.5.0 to version 3.6.0. See the plotly.js release notes for more information [#5608]. Notable changes include:
    • Add support for arrays for the pie property legendrank, so that it can be configured per slice [#7723]
    • Add hoversort layout attribute to sort unified hover label items by value [#7734]

[6.7.0] - 2026-04-09

Added

  • Add facet_row support to px.imshow for creating subplots along an additional dimension [#5445], with thanks to @​FBumann for the contribution!

Fixed

  • Update numpy.percentile syntax to stop using deprecated alias [#5483], with thanks to @​Mr-Neutr0n for the contribution!
    • numpy with a version less than 1.22 is no longer supported.
  • Handle empty px.histogram by skipping None label in hover template [#5535], with thanks to @​tysoncung for the contribution!

Updated

  • Update plotly.js from version 3.4.0 to version 3.5.0. See the plotly.js release notes for more information. [#5565]. Notable changes include:
    • Add hoveranywhere and clickanywhere layout attributes to enable emitting hover and click events anywhere in the plot area, not just over traces [#7707]
    • Add displayNotifier configuration property to set the display of notifier in the top right area of the viewport [#7730]
    • Update USA location lookup for scattergeo and choropleth traces to use both location names and abbreviations [#7731]

[6.6.0] - 2026-03-02

... (truncated)

Commits
  • 495134a update date
  • 2e824d8 version changes for v6.9.0
  • c27c986 Merge pull request #5639 from plotly/update-plotlyjs-3.7.0
  • 3d63d05 typos
  • fd7e3f1 update commands.py and CONTRIBUTING.md to reflect the fact that JS build arti...
  • 9a753fe update changelog
  • 4ff6656 update built JS artifacts
  • b3facc7 update plotly.js to v3.7.0
  • 5cdb606 Merge pull request #5630 from eugen-goebel/fix-marginal-error-message-spacing
  • 8d47808 Add missing space in unsupported-marginal error message
  • Additional commits viewable in compare view

Updates streamlit to 1.59.2

Release notes

Sourced from streamlit's releases.

1.59.2

Full Changelog: streamlit/streamlit@1.59.1...1.59.2

Commits

Updates pytest to 9.1.1

Release notes

Sourced from pytest's releases.

9.1.1

pytest 9.1.1 (2026-06-19)

Bug fixes

  • #14220: Fixed a logic bug in pytest.RaisesGroup which would might cause it to display incorrect "It matches FooError() which was paired with BarError" messages.
  • #14591: Fixed a regression in pytest 9.1.0 which caused overriding a parametrized fixture with an indirect @​pytest.mark.parametrize to fail with "duplicate parametrization of '<fixture name>'".
  • #14606: Fixed list-item typing errors from mypy in @pytest.mark.parametrize <pytest.mark.parametrize ref> argvalues parameter.
  • #14608: Fixed a regression in pytest 9.1.0 where conftest.py files located in <invocation dir>/test* were no longer loaded as initial conftests when invoked without arguments. This could cause certain hooks (like pytest_addoption) in these files to not fire.
Commits
  • cf470ec Prepare release version 9.1.1
  • e0c8ce6 Merge pull request #14625 from pytest-dev/patchback/backports/9.1.x/a07c31a97...
  • 1b82d16 Merge pull request #14624 from pytest-dev/patchback/backports/9.1.x/b375b79ec...
  • 501c4bc Merge pull request #14596 from bluetech/doc-classmethod
  • b61f588 Merge pull request #14622 from chrisburr/fix-14608-initial-conftest-test-subdir
  • 9a567e0 [automated] Update plugin list (#14617) (#14618)
  • ef8b299 Merge pull request #14620 from pytest-dev/patchback/backports/9.1.x/680f9f3ed...
  • 66abd07 Merge pull request #14220 from bysiber/fix-stale-iexp-raisesgroup
  • 79fbf93 Merge pull request #14612 from pytest-dev/patchback/backports/9.1.x/974ed48b6...
  • 0d312eb Merge pull request #14611 from bluetech/parametrize-argvalues-typing
  • Additional commits viewable in compare view

Updates mypy to 2.3.0

Changelog

Sourced from mypy's changelog.

Mypy Release Notes

Next Release

Packaging changes

Mypy 2.3

We've just uploaded mypy 2.3.0 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

You can read the full documentation for this release on Read the Docs.

The Upcoming Switch to the New Native Parser

We are planning to enable the new native parser (--native-parser) by default soon. We recommend that you test the native parser in your projects and report any issues in the mypy issue tracker.

Mypyc Free-threading Memory Safety

Free-threaded Python builds that don't have the GIL require additional synchronization primitives or lock-free algorithms to ensure memory safety when there are race conditions (for example, when a thread reads a list item while another thread writes the same list item concurrently). This release greatly improves memory safety of free threading.

List operations are now memory-safe on free threaded Python builds, even in the presence of race conditions. This has some performance cost. For list-heavy workloads, using librt.vecs.vec instead of list is often significantly faster, but note that vec is not (and likely won't be) fully memory safe, and the user is expected to avoid race conditions. The newly introduced librt.threading.Lock helps with this. Using variable-length tuples can also be more efficient than lists, since tuples are immutable and don't require expensive synchronization to ensure memory safety.

Instance attribute access is also (mostly) memory safe now on free-threaded builds in the presence of race conditions. We are planning to fix the remaining unsafe cases in a future release.

Full list of changes:

  • Make attribute access memory safe on free-threaded builds (Jukka Lehtosalo, PR 21705)
  • Fix unsafe borrowing of instance attributes with free-threading (Jukka Lehtosalo, PR 21688)
  • Make list get/set item more memory safe on free-threaded builds (Jukka Lehtosalo, PR 21683)
  • Don't borrow list items on free-threaded builds (Jukka Lehtosalo, PR 21679)
  • Make multiple assignment from list memory-safe on free-threaded builds (Jukka Lehtosalo, PR 21684)

... (truncated)

Commits
  • 8aabf84 Drop +dev from version
  • 4d8ad2a Update changelog for 2.3 release (#21728)
  • 2c21546 [mypyc] Update documentation of race conditions under free threading (#21726)
  • a9f62a3 [mypyc] Make attribute access memory safe on free-threaded builds (#21705)
  • 0faa413 Use PYODIDE environment variable for Emscripten cross-compilation detection...
  • 3d75cdb [mypyc] Borrow final attributes more aggressively (#21702)
  • 24c237d [mypyc] Improve documentation of Final (#21713)
  • b5be217 [mypyc] Update free threading Python compatibility docs (#21711)
  • cbcb51a Narrow for frozendict membership check (#21709)
  • af2bc0f Sync typeshed (#21707)
  • Additional commits viewable in compare view

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Updates the requirements on [numpy](https://github.com/numpy/numpy), [scipy](https://github.com/scipy/scipy), [cvxpy](https://github.com/cvxpy/cvxpy), [plotly](https://github.com/plotly/plotly.py), [streamlit](https://github.com/streamlit/streamlit), [pytest](https://github.com/pytest-dev/pytest) and [mypy](https://github.com/python/mypy) to permit the latest version.

Updates `numpy` to 2.5.1
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.6...v2.5.1)

Updates `scipy` to 1.18.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.17.1...v1.18.0)

Updates `cvxpy` to 1.9.2
- [Release notes](https://github.com/cvxpy/cvxpy/releases)
- [Commits](cvxpy/cvxpy@v1.9.1...v1.9.2)

Updates `plotly` to 6.9.0
- [Release notes](https://github.com/plotly/plotly.py/releases)
- [Changelog](https://github.com/plotly/plotly.py/blob/main/CHANGELOG.md)
- [Commits](plotly/plotly.py@v6.8.0...v6.9.0)

Updates `streamlit` to 1.59.2
- [Release notes](https://github.com/streamlit/streamlit/releases)
- [Commits](streamlit/streamlit@1.58.0...1.59.2)

Updates `pytest` to 9.1.1
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@9.1.0...9.1.1)

Updates `mypy` to 2.3.0
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v2.1.0...v2.3.0)

---
updated-dependencies:
- dependency-name: numpy
  dependency-version: 2.5.1
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: scipy
  dependency-version: 1.18.0
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: cvxpy
  dependency-version: 1.9.2
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: plotly
  dependency-version: 6.9.0
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: streamlit
  dependency-version: 1.59.2
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: pytest
  dependency-version: 9.1.1
  dependency-type: direct:production
  dependency-group: python-dependencies
- dependency-name: mypy
  dependency-version: 2.3.0
  dependency-type: direct:production
  dependency-group: python-dependencies
...

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