# galaxyproject/galaxy

Data intensive science for everyone.

Repository: https://github.com/galaxyproject/galaxy
Canonical: https://ross.abutalabs.com/products/galaxyproject-galaxy
Homepage: https://galaxyproject.org
Language: Python
License: NOASSERTION
License Family: other
Topics: bioinformatics, workflow, genomics, science, sequencing, ngs, dna, usegalaxy, pipeline, workflow-engine, hacktoberfest
Last push: 2026-08-26T18:48:54+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 84, longevity 100
- inputs: {"age_days": 4209, "days_push": 7, "days_rel": 29, "gap_med": 34, "n_releases_24m": 20}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1841, forks 1161 (observed 2026-08-28T04:05:43.100920+00:00)

## What it is
Galaxy is an open-source, web-based platform for accessible, reproducible, and transparent data-intensive scientific research, primarily in genomics and biomedical analysis. It lets researchers run analyses through a browser without programming, automatically tracking full provenance of every step.

## Use cases
- run genomics pipelines without writing code
- build reproducible bioinformatics workflows
- analyze NGS sequencing data through a web UI
- self-host a scientific analysis platform for my lab
- share and publish analysis histories and workflows
- track provenance of computational research steps
- teach bioinformatics with peer-reviewed tutorials

## When to choose
- you need reproducible, no-code scientific data analysis with full provenance tracking
- you want to run genomics or biomedical workflows on public servers or self-hosted infrastructure
- you need a web interface so non-programmers can execute complex pipelines

## When to avoid
- you need lightweight scripting or library-level integration rather than a full web platform
- your analysis domain has no Galaxy tools available in the Tool Shed
- you want a minimal CLI pipeline runner instead of a server with UI, users, and histories

## Facets
- artifact type: application
- maturity: stable
- function: workflow-automation, web-framework, data-science, etl, self-hosted
- domain: bioinformatics, data-science, self-hosted, web-development
- platform: python, self-hosted
- tags: genomics, ngs, workflow-engine, reproducible-research, web-interface, tool-shed, scientific-pipelines, science, web-server, linux, docker

## Member repositories
- galaxyproject/galaxy (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:43.100920+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:18:01.076738+00:00, confidence not recorded.
  - readme: https://github.com/galaxyproject/galaxy (fetched 2026-08-28T04:05:43.100920+00:00, sha 9df9f22e4212)
  - homepage: https://galaxyproject.org (fetched 2026-08-29T10:57:28.229959+00:00, sha 6bcfffbd4e89)
  - site_page: https://docs.galaxyproject.org (fetched 2026-08-29T10:57:28.241180+00:00, sha 97c934d871ad)
  - registry_pypi: https://pypi.org/pypi/galaxy/json (fetched 2026-08-29T10:57:28.242960+00:00, sha 977511d0e99d)
  - site_page: https://galaxyproject.org/support (fetched 2026-08-29T10:57:28.239221+00:00, sha 3ac1af23ec92)
- Data as of 2026-08-30T08:39:29.467469+00:00.