{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis"}],"enrichment":{"capability":"Provides native Python and C++ bindings to parse, read, and manipulate mmCIF (macromolecular Crystallographic Information File) data structures and dictionaries.","skillfed_tags":["structural-biology","crystallography","data-parsing"],"use_cases":["Parse and read PDB structure files in mmCIF format for structural biology analysis and visualization.","Combine multiple mmCIF dictionary extensions into a single comprehensive dictionary using the build_dict_cli tool.","Access and query macromolecular structure metadata and atom coordinate data programmatically.","Integrate mmCIF data handling into bioinformatics pipelines and structural analysis workflows.","Retrieve and validate dictionary versions for data format compliance and compatibility checking."],"what_it_does":"mmcif is a Python library that wraps the PDB C++ Core mmCIF Library with pybind11, offering both native Python APIs and compiled bindings for reading and manipulating mmCIF data files and dictionaries. It is used primarily in structural biology and crystallography workflows to access macromolecular structure data in the standardized mmCIF format.\n\nThe package includes a command-line tool, `build_dict_cli`, that preprocesses and combines modular mmCIF dictionaries by resolving include directives. It depends on requests and msgpack for runtime operations. The library supports Python 3.8 through 3.14 and is actively maintained with no known security vulnerabilities.","worth_installing":"Yes, if you work with crystallographic or structural biology data in mmCIF format. The package is stable (Production/Stable status), actively maintained, has no known vulnerabilities, and offers both Python and C++ APIs. Medium install friction due to compiled bindings is offset by pre-built wheels for common platforms. The Apache-2.0 license is permissive and suitable for most projects."},"id":"mmcif","links":{"html":"https://skillfed.io/packages/mmcif","md":"https://skillfed.io/packages/mmcif.md","pypi":"https://pypi.org/project/mmcif/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-25","license_spdx":null,"license_treatment":"permissive","name":"mmcif","python_support":"supports_current","summary":"mmCIF Core Access Library"},"popularity":{"monthly_downloads":1498562,"position":3830,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.1.1"}