{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/6"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"},{"label":"Physics","url":"https://skillfed.io/packages/category/scientific-engineering-physics"},{"label":"Education","url":"https://skillfed.io/packages/category/education"},{"label":"Chemistry","url":"https://skillfed.io/packages/category/scientific-engineering-chemistry"}],"enrichment":{"capability":"Pyteomics provides Python tools for proteomics data analysis, including mass calculation, sequence manipulation, and access to MS/LC-MS data, FASTA databases, and search engine outputs.","skillfed_tags":["mass-spectrometry","bioinformatics","proteomics"],"use_cases":["Calculate molecular mass and isotopic distributions for peptide sequences in mass spectrometry workflows","Parse and process FASTA database files for proteomics searches and sequence analysis","Extract and analyze results from proteomics search engines (e.g., Mascot, SEQUEST output)","Compute physicochemical properties (pI, charge, retention time) for peptide characterization","Manipulate and annotate sequences containing post-translational modifications"],"what_it_does":"Pyteomics is a collection of Python modules designed to handle proteomics data analysis tasks. It provides utilities for calculating physico-chemical properties of peptides and proteins (mass, isotopic distribution, charge, pI, retention time), accessing common proteomics data formats (MS/LC-MS data, FASTA databases, search engine outputs), and manipulating sequences of modified peptides and proteins. The library targets reproducible statistical analysis and rapid prototyping in proteomics research.\n\nThe package has no external runtime dependencies, making it lightweight and straightforward to integrate into existing Python workflows. It is actively maintained, with current Python version support (>=3.10), and has been in development since 2012, indicating a mature codebase for the proteomics community.","worth_installing":"Yes. Pyteomics is a mature, actively maintained library with no security vulnerabilities, zero runtime dependencies, and straightforward installation. It directly addresses core proteomics data analysis tasks. Install it if you work with mass spectrometry data, peptide sequences, or proteomics search results in Python."},"id":"pyteomics","links":{"html":"https://skillfed.io/packages/pyteomics","md":"https://skillfed.io/packages/pyteomics.md","pypi":"https://pypi.org/project/pyteomics/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-22","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"pyteomics","python_support":"supports_current","summary":"A framework for proteomics data analysis."},"popularity":{"monthly_downloads":286369,"position":8044,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"5.0.1"}