# NumPy v2.5.2 — v2.5.2 (Aug 9, 2026)

- Product: NumPy (https://whatsnew.fyi/product/numpy)
- Vendor: NumPy
- Date: 2026-08-09
- Version: v2.5.2
- Original notes: https://github.com/numpy/numpy/releases/tag/v2.5.2
- Permalink: https://whatsnew.fyi/product/numpy/releases/v2.5.2

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- **added** — Wheels for Python 3.15.0rc1 are now included
- **changed** — PyArray_StringDTypeObject is now opaque under the abi3t stable ABI, preventing access to struct fields in free-threading-compatible builds
- **fixed** — Fix StringDType coerce flag in binary ufunc promotion
- **fixed** — Fix crash on 32 bit systems using abi3t
- **fixed** — Fix CPU feature env diagnostic buffer overruns
- **fixed** — Restore ndarray.conjugate() for legacy user-defined dtypes
- **fixed** — Fix refcount leak on overlapping copyto with where=False
- **fixed** — Fix swallowed cast error in fancy indexing assignment
- **fixed** — Fix buffered iterator stride after removing multi-index
- **fixed** — Fix np.fromiter corruption when reusing a StringDType
- **fixed** — Add a special case for StringDType in np.isdtype
- **fixed** — Fix reference leak in simd_sequence_from_iterable
- **fixed** — Ensure lock is held when accessing or writing to RNG state
- **fixed** — Fully reset cached RNG state for non-MT19937 RNGs
- **fixed** — Avoid possible stack overflow in arraydescr_dealloc
- **fixed** — Avoid segfaults when legacy copyswap slot is not defined

#### 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](https://github.com/numpy/numpy/pull/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

##### Pull requests merged

A total of 28 pull requests were merged for this release.

- [#31864](https://github.com/numpy/numpy/pull/31864): MAINT: Prepare 2.5.x for further development
- [#31889](https://github.com/numpy/numpy/pull/31889): TYP: Backport multiple static typing fixes 1.
- [#31900](https://github.com/numpy/numpy/pull/31900): TST: add tests for stable ABI numpy extensions (#31822)
- [#31901](https://github.com/numpy/numpy/pull/31901): BUG: fix `StringDType` coerce flag in binary ufunc promotion\...
- [#31902](https://github.com/numpy/numpy/pull/31902): BLD: fix meson deprecation warnings (#31892)
- [#31921](https://github.com/numpy/numpy/pull/31921): TYP: Backport multiple typing fixes 2.
- [#31947](https://github.com/numpy/numpy/pull/31947): MAINT: Update x86-simd-sort subproject (5adb334 → fa944ef) (#31908)
- [#31949](https://github.com/numpy/numpy/pull/31949): BUG: fix crash on 32 bit systems using abi3t (#31771)
- [#31950](https://github.com/numpy/numpy/pull/31950): MNT: remove some obsolete string to bool workarounds (#31859)
- [#31952](https://github.com/numpy/numpy/pull/31952): BUG: centralized helper for output coerce and na_object in stringdtype\...
- [#31953](https://github.com/numpy/numpy/pull/31953): BUG: fix CPU feature env diagnostic buffer overruns (#31905)
- [#31954](https://github.com/numpy/numpy/pull/31954): BUG: restore ndarray.conjugate() for legacy user-defined dtypes\...
- [#31955](https://github.com/numpy/numpy/pull/31955): TYP: Avoid shadowed dtype annotations
- [#32077](https://github.com/numpy/numpy/pull/32077): MAINT: Update verdored-meson/meson to match main.
- [#32114](https://github.com/numpy/numpy/pull/32114): BUG: fix refcount leak on overlapping copyto with where=False
- [#32115](https://github.com/numpy/numpy/pull/32115): BUG: fix swallowed cast error in fancy indexing assignment (#31975)
- [#32116](https://github.com/numpy/numpy/pull/32116): BUG: Fix buffered iterator stride after removing multi-index
- [#32117](https://github.com/numpy/numpy/pull/32117): BUG: fix `np.fromiter` corruption when reusing a `StringDType`\...
- [#32119](https://github.com/numpy/numpy/pull/32119): BUG: add a special case for StringDType in np.isdtype (#32030)
- [#32121](https://github.com/numpy/numpy/pull/32121): BUG: reference leak in `simd_sequence_from_iterable` (#32038)
- [#32122](https://github.com/numpy/numpy/pull/32122): BUG: ensure lock is held when accessing or writing to RNG

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