Sourced from numpy's releases.

v2.5.2 (Aug 9, 2026)

NumPy 2.5.2 Release Notes

The NumPy 2.5.2 is a patch release that fixes bugs discovered after the 2.5.1 release. The big news is that it includes wheels for the newly released Python 3.15.0rc1.

This release supports Python versions 3.12-3.15

C API changes

PyArray_StringDTypeObject is opaque under the abi3t stable ABI

The PyArray_StringDTypeObject was accidentally exposed in NumPy 2.5 when targeting the free-threading-compatible stable ABI (Py_TARGET_ABI3T). PyArray_StringDTypeObject is now an opaque struct: extensions compiled that way cannot access its fields, since the struct layout depends on the size of the object header. Any code that accessed PyArray_StringDTypeObject fields in an abi3t build would have crashed, so we are making this API change in a bugfix release.

The NpyString allocator API remains usable by passing the descriptor object pointer, e.g. NpyString_acquire_allocator((PyArray_StringDTypeObject *)descr).

(gh-31771)

Contributors

A total of 16 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Abhijeetsingh Meena +
• Charalampos Stratakis
• Charles Harris
• Chris Ninham +
• David Woods
• Geonho +
• Gopu Yeshwanth Reddy +
• Iason Krommydas
• Ijtihed Kilani
• Jelle Zijlstra +
• Joren Hammudoglu
• Kumar Aditya
• Mike Boyle
• Nathan Goldbaum
• Raghuveer Devulapalli
• Sebastian Berg

... (truncated)

• 48fecee REL: Prepare for the NumPy 2.5.2 release (#32226)
• ecf599c Merge pull request #32221 from charris/backport-32151
• 3c7ac97 Merge pull request #32220 from charris/backport-32205
• 23b30f4 BUG: avoid segfaults when legacy copyswap slot is not defined (#32151)
• 4964ca8 TYP: isclose shape-typing fix for 2d array-likes (#32205)
• c37ed94 MAINT: Skip limited_api tests on some platforms. (#32214)
• 5cfd73b Merge pull request #32206 from charris/update-cibuildwheel
• d8262bc MAINT: Update cibuildwheel to v4.2.0
• 988d94d Merge pull request #32158 from charris/backport-32133
• b2e4f97 BUG: avoid possible stack overflow in arraydescr_dealloc (#32133)
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Sourced from pyarrow's releases.

Apache Arrow 25.0.1

Release Notes URL: https://arrow.apache.org/release/25.0.1.html

Apache Arrow 25.0.1 RC1

Release Notes: Release Candidate: 25.0.1 RC1

Apache Arrow 25.0.1 RC0

Release Notes: Release Candidate: 25.0.1 RC0

• beccec0 MINOR: [Release] Update versions for 25.0.1
• 7bdf01a MINOR: [Release] Update .deb/.rpm changelogs for 25.0.1
• 91dbae1 MINOR: [Release] Update CHANGELOG.md for 25.0.1
• 849d463 GH-50808: [Python] Narrow Feather deprecation to V1 format (#50685)
• e70ebf5 GH-50600: [Release] Pin Python version in Conda verification
• f5037be GH-50578: [C++][FlightRPC][ODBC] Always return SQL_NO_DATA from GetMoreResult...
• 1491589 GH-50503: [Parquet] Remove SVE128 unpack (#50611)
• d1eaaed GH-50326: [Python] Convert arrays to Python objects without per-element Scala...
• fe14135 GH-50428: [C++] Better mimalloc configuration on macOS (#50549)
• 8fb632a GH-50383: [Release] Remove deprecated -f flag on conda create environment (#5...
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Sourced from sqlalchemy's releases.

2.0.52

Released: August 11, 2026

platform

• [platform] [bug] Python 3.15 support has been added and tested, including minimal changes for full compatibility.

  References: #13477

orm

• [orm] [bug] Fixed a result-column misalignment bug in ORM-enabled UPDATE statements where synchronize_session="fetch" is in use, either explicitly or because the statement uses constructs such as CTEs that implicitly select for it. Columns in rows returned by .returning() could be returned under incorrect keys (e.g. row[SomeClass.a] returning the value of a different column), a problem most likely to manifest under concurrent workloads. ORM DELETE statements were not affected.

  References: #13439

• [orm] [bug] Fixed bug where a failed _orm.Session.bulk_insert_mappings(), _orm.Session.bulk_update_mappings() or _orm.Session.bulk_save_objects() call could leave the _orm.Session permanently in a "flushing" state, such as when the transaction could not be begun because a previous flush had left it needing a rollback. Unlike _orm.Session.flush(), the bulk methods set the internal flushing flag and began the transaction outside of the try/finally block that resets it, so that neither _orm.Session.rollback() nor _orm.Session.close() would clear it, and every subsequent flush would raise InvalidRequestError: Session is already flushing. Pull request courtesy Hamody We.

  References: #13485

• [orm] [bug] Fixed issue where unpickling an ORM object that were loaded using loader options making use of wildcard tokens, such as _orm.load_only() or _orm.raiseload() with "*", would fail with KeyError or IndexError if the process doing the unpickling had not yet constructed a loader path making use of that same token. This would typically be observed when the object were unpickled in a separate process, such as with the spawn or forkserver multiprocessing start methods, the latter of which became the default on POSIX platforms as of Python 3.14. The internal collection of these tokens is now established up front, so that it is identical in every process.

... (truncated)

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