{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/20"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"},{"label":"Logging","url":"https://skillfed.io/packages/category/system-logging"}],"enrichment":{"capability":"Pipestat provides a standard API for reporting, storing, and retrieving pipeline results validated against a JSON Schema, with support for YAML file or PostgreSQL database backends.","skillfed_tags":["pipeline-results","schema-validation","workflow-metadata"],"use_cases":["Define a schema for bioinformatics pipeline outputs, then report accuracy, processing time, and file paths as the pipeline executes.","Store computational results in PostgreSQL for downstream querying and aggregation across multiple pipeline runs.","Auto-generate a schema from existing pipeline results files to enforce structure on future runs.","Share pipeline outputs between heterogeneous tools by using pipestat as a common results API.","Validate pipeline outputs against a schema before storing them, catching malformed results early."],"what_it_does":"Pipestat is a results management layer for computational pipelines. A pipeline author defines expected outputs in a YAML schema (specifying types, descriptions, and validation rules), then uses pipestat's API to report results as the pipeline runs. Results are validated against the schema and persisted to either a YAML file or PostgreSQL database. Downstream tools and users retrieve those results through the same API, ensuring consistent structure and validation across the pipeline ecosystem.\n\nThe package is built on seven runtime dependencies\u2014eido, jinja2, jsonschema, logmuse, pyyaml, ubiquerg, and yacman\u2014that handle schema management, templating, validation, logging, and configuration. It targets modern Python (3.10+) and is actively maintained. The design separates schema definition from result reporting, making it suitable for multi-stage pipelines where different tools need to write and read results in a standardized format.","worth_installing":"Yes. Pipestat is actively maintained, has no known vulnerabilities, and solves a real problem\u2014standardizing how pipelines report and store results. Low install friction and permissive licensing make it a safe choice. Best suited for projects that need schema-validated result storage across multiple pipeline stages or tools; less critical for simple single-stage pipelines with ad-hoc output handling."},"id":"pipestat","links":{"html":"https://skillfed.io/packages/pipestat","md":"https://skillfed.io/packages/pipestat.md","pypi":"https://pypi.org/project/pipestat/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-06","license_spdx":"BSD-2-Clause","license_treatment":"permissive","name":"pipestat","python_support":"supports_current","summary":"A pipeline results reporter"},"popularity":{"monthly_downloads":105824,"position":12677,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.13.1"}