$npx skillfedfor your agent

PyCifRW

CIF/STAR file support for Python

With conditionsPyPI Python ModulesReleased Mar 202574.5K downloads / moPython 2.0Platform wheel

Decision gist · record as of 2026-08-14

platform wheels — pycifrw-5.0.1-cp310-cp310-macosx_10_9_x86_64.whl · pycifrw-5.0.1-cp310-cp310-macosx_11_0_arm64.whl · pycifrw-5.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
v5.0.1 · released 2025-03-24 · 3 runtime deps: prettytable, ply, numpy

Yes, if you work with CIF files in crystallography or structural biology. The package is stable, permissively licensed, and has no known vulnerabilities. Install friction is moderate due to compiled wheels, but prebuilt binaries are available for recent Python versions. Maintenance is aging (last release 508 days ago), so consider it mature rather than actively developed—suitable for production use but not for projects requiring frequent updates.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Medium install friction due to compiled wheels across multiple Python versions (3.10–3.13) and platforms, but prebuilt binaries are available.
  • Maintenance status is aging—last release was 508 days ago, though the repository remains active and the package has been stable since its 2009 inception.

License · maintenance · safety

Python 2.0 (permissive) — Licensed under Python 2.0 (permissive), a BSD-like license that permits modification and redistribution with minimal restrictions, provided copyright notice and a summary of changes are retained in derivative works.

last release 2025-03-24 (508 days) · last repo commit 2025-10-26 · 40 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 74,482 downloads/mo, #14,826 on PyPI

Verify before relying

pip install pycifrw
import CifFile
cf = CifFile.ReadCif('example.cif')
wavelength = cf['si_std']['_diffrn_meas_wavelength']
  • Whether Python version support is truly unspecified or if there is a practical minimum version requirement.
  • Current test coverage and whether the 180 tests in TestPyCIFRW.py are regularly executed.
  • Whether the C extension module mentioned in the distribution is required or optional for performance.
Same gist for agents: .md · .json

What it is and what it does

PyCIFRW is a parser and writer for CIF (Crystallographic Information Format) and STAR files, used primarily in crystallography and structural biology to exchange and manipulate scientific data. It exposes CIF files as nested Python dictionaries, where each top-level key is a data block and nested keys are data names, making it natural to read, modify, and write crystallographic metadata programmatically.

The package depends on prettytable, ply, and numpy, and is written entirely in Python with an optional C extension included. It has been tested against IUCr sample CIF 1.1 files and conforms to CIF 1.0, 1.1, and 2.0 specifications. It runs on macOS, Windows, and Linux, with prebuilt wheels available for Python 3.10–3.13.

Use it for

  • Parse crystallographic data files from synchrotron beamlines or X-ray diffraction experiments to extract metadata.
  • Validate CIF files against data dictionaries using included utilities.
  • Programmatically modify and write back CIF files in data processing pipelines.
  • Convert CIF data dictionaries to documentation formats like asciidoc.
  • Integrate crystallographic data handling into larger scientific Python applications.

Worth the install?

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

With conditions

Yes, if you work with CIF files in crystallography or structural biology.

The package is stable, permissively licensed, and has no known vulnerabilities. Install friction is moderate due to compiled wheels, but prebuilt binaries are available for recent Python versions. Maintenance is aging (last release 508 days ago), so consider it mature rather than actively developed—suitable for production use but not for projects requiring frequent updates.

Install

pycifrw on PyPI

Before you install

Medium install friction due to compiled wheels across multiple Python versions (3.10–3.13) and platforms, but prebuilt binaries are available. Maintenance status is aging—last release was 508 days ago, though the repository remains active and the package has been stable since its 2009 inception.

License in practice

Licensed under Python 2.0 (permissive), a BSD-like license that permits modification and redistribution with minimal restrictions, provided copyright notice and a summary of changes are retained in derivative works.

Quickstart

pip install pycifrw
import CifFile
cf = CifFile.ReadCif('example.cif')
wavelength = cf['si_std']['_diffrn_meas_wavelength']

Verify before relying

  • Whether Python version support is truly unspecified or if there is a practical minimum version requirement.
  • Current test coverage and whether the 180 tests in TestPyCIFRW.py are regularly executed.
  • Whether the C extension module mentioned in the distribution is required or optional for performance.

Package facts

LicensePython 2.0 permissive
Python supportNot specified
Install frictionMedium. Platform-specific wheel
Runtime dependencies
3 packages
prettytableplynumpy
MaintenanceAging 508 days since the last release
Last repo commit
First released
Downloads74,482 / month, #14,826 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Python Software Foundation LicenseOperating System :: OS IndependentProgramming Language :: Python :: 2Programming Language :: Python :: 3Topic :: Scientific/Engineering :: Bio-InformaticsTopic :: Software Development :: Libraries :: Python Modules

Evidence: pycifrw-5.0.1-cp310-cp310-macosx_10_9_x86_64.whl; pycifrw-5.0.1-cp310-cp310-macosx_11_0_arm64.whl; pycifrw-5.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pycifrw-5.0.1-cp310-cp310-win32.whl; pycifrw-5.0.1-cp310-cp310-win_amd64.whl; pycifrw-5.0.1-cp311-cp311-macosx_10_9_x86_64.whl; pycifrw-5.0.1-cp311-cp311-macosx_11_0_arm64.whl; pycifrw-5.0.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pycifrw-5.0.1-cp311-cp311-win32.whl; pycifrw-5.0.1-cp311-cp311-win_amd64.whl; pycifrw-5.0.1-cp312-cp312-macosx_10_13_x86_64.whl; pycifrw-5.0.1-cp312-cp312-macosx_11_0_arm64.whl; pycifrw-5.0.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pycifrw-5.0.1-cp312-cp312-win32.whl; pycifrw-5.0.1-cp312-cp312-win_amd64.whl; pycifrw-5.0.1-cp313-cp313-macosx_10_13_x86_64.whl; pycifrw-5.0.1-cp313-cp313-macosx_11_0_arm64.whl; pycifrw-5.0.1-cp313-cp313-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl; pycifrw-5.0.1-cp313-cp313-win32.whl; pycifrw-5.0.1-cp313-cp313-win_amd64.whl

Tags

Capabilities
CIF file parsercrystallographic data formatCIF reader writerSTAR file supportcrystallography data handlingscientific data format pythonCIF 2.0 parser
Topics
crystallographyscientific-datafile-format

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 › “CIF file parser”

  • PyCifRWPyCIFRW reads and writes CIF (Crystallographic Information Format)…
  • pymatgenPymatgen provides Python classes and analysis tools for materials…
  • pymatgen-corepymatgen-core provides core data structures and I/O for materials…

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

More Python Modules packages

idna Worth it
PyPI · Python Modules · released Jun 2026

Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.

Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.

BSD-3-Clausepure Python · 3.9+
1.8Bdownloads / mo
setuptools Worth it
PyPI · Python Modules · released Aug 2026

Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.

MITpure Python · 3.10+
1.6Bdownloads / mo
PyYAML Worth it
PyPI · Python Modules · released Sep 2025

PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.

MITcompiled wheel · 3.8+
1.2Bdownloads / mo
pydantic Worth it
PyPI · Python Modules · released May 2026

Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.

MITpure Python · 3.9+
1.1Bdownloads / mo
annotated-types Worth it
PyPI · Python Modules · released Jul 2026

Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.

Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…

MITpure Python · 3.10+
871.3Mdownloads / mo
typing-inspection Worth it
PyPI · Python Modules · released Aug 2026

Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.

MITpure Python · 3.10+
783.0Mdownloads / mo

See also gemmi · pynwb · spglib · pymatgen · none · pymatgen-core · pyliblzfse · moyopy · mrcfile · silx