$npx skillfedfor your agent

cymem

Manage calls to calloc/free through Cython

With conditionsPyPI Scientific/EngineeringReleased Nov 202521.4M downloads / moMITPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — cymem-2.0.13-cp310-cp310-macosx_10_9_x86_64.whl · cymem-2.0.13-cp310-cp310-macosx_11_0_arm64.whl · cymem-2.0.13-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
v2.0.13 · released 2025-11-14 · Python <3.15,>=3.9

Yes, if you write Cython code that allocates C memory. cymem eliminates a common source of bugs (manual deallocation) and is actively maintained with no known vulnerabilities. Install friction is medium due to Cython and compiler requirements, but that's inherent to Cython development, not cymem itself. Not relevant for pure-Python projects.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Cython to be installed and a C compiler available; intended for use in .pyx files, not pure Python.
  • Precompiled wheels available for Python 3.9–3.14 across macOS, Linux, Windows, and ARM platforms; medium install friction due to Cython dependency.
  • Active maintenance with last commit 2026-03-27 and no known vulnerabilities.

License · maintenance · safety

MIT (permissive) — MIT license (permissive) allows use in commercial and proprietary projects with minimal restrictions; attribution required.

last release 2025-11-14 (273 days) · last repo commit 2026-03-27 · 462 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 21,449,015 downloads/mo, #1,001 on PyPI

Verify before relying

# Install
pip install cymem

# In a .pyx Cython file:
from cymem.cymem cimport Pool
cdef Pool mem = Pool()
cdef int* data = <int*>mem.alloc(10, sizeof(int))
# Memory is automatically freed when Pool is garbage collected
  • Whether the package is actively used in production by major NLP/ML libraries beyond what can be inferred from download volume.
  • Performance overhead of the Pool wrapper compared to direct calloc/free calls.
  • Thread-safety guarantees for Python versions prior to 3.13 free-threaded builds.
Same gist for agents: .md · .json

What it is and what it does

cymem is a Cython library that wraps C's calloc/free functions in a Python-managed Pool object. Instead of manually tracking and freeing allocated memory in Cython code, you attach a Pool to your Cython class and call pool.alloc() for all memory allocations. When the Pool is garbage collected (along with its parent object), all tracked memory is automatically freed—eliminating manual deallocation code and the bugs that come with it.

The library is designed for performance-critical Cython code that works with C-level structs and arrays. It supports custom allocators via WrapMalloc and WrapFree, and as of version 2.0.12, is thread-safe on CPython 3.13+ free-threaded builds. With no runtime dependencies and precompiled wheels for modern Python versions and architectures, it integrates cleanly into existing Cython projects.

Use it for

  • Building arrays of C structs in Cython without writing complex __dealloc__ methods.
  • Wrapping external C libraries that use private malloc/free functions via custom allocators.
  • Managing deeply nested C data structures where manual deallocation is error-prone.
  • Reducing memory-leak bugs in performance-critical Cython extensions.
  • Simplifying memory lifecycle in Cython classes that hold C-level pointers.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you write Cython code that allocates C memory.

cymem eliminates a common source of bugs (manual deallocation) and is actively maintained with no known vulnerabilities. Install friction is medium due to Cython and compiler requirements, but that's inherent to Cython development, not cymem itself. Not relevant for pure-Python projects.

Install

cymem on PyPI

Before you install

Precompiled wheels available for Python 3.9–3.14 across macOS, Linux, Windows, and ARM platforms; medium install friction due to Cython dependency. Active maintenance with last commit 2026-03-27 and no known vulnerabilities.

Requires Cython to be installed and a C compiler available; intended for use in .pyx files, not pure Python.

License in practice

MIT license (permissive) allows use in commercial and proprietary projects with minimal restrictions; attribution required.

Quickstart

# Install
pip install cymem

# In a .pyx Cython file:
from cymem.cymem cimport Pool
cdef Pool mem = Pool()
cdef int* data = <int*>mem.alloc(10, sizeof(int))
# Memory is automatically freed when Pool is garbage collected

Verify before relying

  • Whether the package is actively used in production by major NLP/ML libraries beyond what can be inferred from download volume.
  • Performance overhead of the Pool wrapper compared to direct calloc/free calls.
  • Thread-safety guarantees for Python versions prior to 3.13 free-threaded builds.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release <3.15,>=3.9
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceActively maintained 273 days since the last release
Last repo commit
First released
Downloads21,449,015 / month, #1,001 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Environment :: ConsoleIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxProgramming Language :: CythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Programming Language :: Python :: Free Threading :: 2 - BetaTopic :: Scientific/Engineering

Evidence: cymem-2.0.13-cp310-cp310-macosx_10_9_x86_64.whl; cymem-2.0.13-cp310-cp310-macosx_11_0_arm64.whl; cymem-2.0.13-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; cymem-2.0.13-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; cymem-2.0.13-cp310-cp310-musllinux_1_2_aarch64.whl; cymem-2.0.13-cp310-cp310-musllinux_1_2_x86_64.whl; cymem-2.0.13-cp310-cp310-win_amd64.whl; cymem-2.0.13-cp310-cp310-win_arm64.whl; cymem-2.0.13-cp311-cp311-macosx_10_9_x86_64.whl; cymem-2.0.13-cp311-cp311-macosx_11_0_arm64.whl; cymem-2.0.13-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; cymem-2.0.13-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; cymem-2.0.13-cp311-cp311-musllinux_1_2_aarch64.whl; cymem-2.0.13-cp311-cp311-musllinux_1_2_x86_64.whl; cymem-2.0.13-cp311-cp311-win_amd64.whl; cymem-2.0.13-cp311-cp311-win_arm64.whl; cymem-2.0.13-cp312-cp312-macosx_10_13_x86_64.whl; cymem-2.0.13-cp312-cp312-macosx_11_0_arm64.whl; cymem-2.0.13-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; cymem-2.0.13-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl

Tags

Capabilities
cython memory managementcython calloc wrapperautomatic memory deallocation cythoncython pool allocatormanage c memory in cythoncython memory poolprevent memory leaks cython
Topics
cythonmemory-managementc-extension

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “cython memory management”

  • cymemcymem provides memory-management helpers for Cython that tie…
  • cysignalsProvides interrupt and signal handling mechanisms for Cython code,…
  • bytesparseProvides a bytearray-like class that stores sparse chunks of data in…

Give your agent the search over MCP, or paste the wish link into any chat.

More Scientific/Engineering packages

numpy Worth it
PyPI · Software Development · released Aug 2026

NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.

BSD-3-Clause AND 0BSD AND MIT AND Zlib AND CC0-1.0compiled wheel · 3.12+
1.1Bdownloads / mo
pandas Worth it
PyPI · Scientific/Engineering · released Jul 2026

pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.

BSD-3-Clausecompiled wheel · 3.11+
769.1Mdownloads / mo
scipy Worth it
PyPI · Libraries · released Jun 2026

scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.

BSD-3-Clausecompiled wheel · 3.12+
449.0Mdownloads / mo
scikit-learn Worth it
PyPI · Software Development · released Jun 2026

scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.

Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.

BSD-3-Clausecompiled wheel · 3.11+
235.5Mdownloads / mo
dill Worth it
PyPI · Software Development · released Jan 2026

dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.

BSD-3-Clausepure Python · 3.9+
208.1Mdownloads / mo
multiprocess Worth it
PyPI · Software Development · released Jan 2026

Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.

Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.

BSD-3-Clausepure Python · 3.9+
202.7Mdownloads / mo

See also rmm-cu12 · librmm-cu12 · preshed · blis · umf · cython-lint · fastrlock · omnimalloc · backports.weakref · cysignals