# hydra-ecosystem/hydra

Hydra is a framework for elegantly configuring complex applications

Repository: https://github.com/hydra-ecosystem/hydra
Canonical: https://ross.abutalabs.com/products/hydra-ecosystem-hydra
Homepage: http://hydra.cc/
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-26T19:25:17+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 96, longevity 100
- inputs: {"age_days": 2639, "days_push": 7, "days_rel": 28, "gap_med": 27.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10617, forks 967 (observed 2026-08-28T04:10:42.566826+00:00)

## What it is
Hydra is a Python framework for elegantly configuring complex applications through dynamic, hierarchical configuration composition. It allows overriding configuration from the command line and running multiple jobs with different arguments from a single command.

## Use cases
- manage complex application configuration in python
- compose hierarchical yaml config files
- override config values from the command line
- run parameter sweeps for machine learning experiments
- add command line tab completion to a python app
- launch multiple jobs with different arguments
- avoid boilerplate config loading code

## When to choose
- you have a complex application with many configuration options
- you run research or ML experiments needing many config variations
- you want config composition from multiple yaml sources with CLI overrides
- you want to reduce boilerplate around config loading and CLI flags

## When to avoid
- you have a simple app with only a few settings
- you need configuration management for infrastructure rather than applications
- your project is not in Python

## Facets
- artifact type: framework
- maturity: stable
- function: configuration-management, cli, yaml, workflow-automation
- domain: developer-tools, machine-learning
- platform: python, windows, cli
- tags: config-composition, omegaconf, experiment-management, command-line-overrides, job-launcher, research, command-line, linux, macos

## Member repositories
- hydra-ecosystem/hydra (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:42.566826+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 2026-08-29T17:18:28.300674+00:00, confidence not recorded.
  - readme: https://github.com/hydra-ecosystem/hydra (fetched 2026-08-28T04:10:42.566826+00:00, sha c4ef2926e25a)
  - homepage: http://hydra.cc/ (fetched 2026-08-29T08:17:37.810061+00:00, sha 65f34121ef19)
  - site_page: https://hydra.cc/docs/1.2/intro (fetched 2026-08-29T08:17:37.819312+00:00, sha 3ca589c604ba)
  - site_page: https://hydra.cc/docs/1.1/intro (fetched 2026-08-29T08:17:37.821515+00:00, sha f1546336749f)
  - site_page: https://hydra.cc/docs/1.0/intro (fetched 2026-08-29T08:17:37.823235+00:00, sha e6b105b796df)
  - site_page: https://hydra.cc/docs/intro (fetched 2026-08-29T08:17:37.812652+00:00, sha 32ea03a5043c)
  - site_page: https://hydra.cc/docs/landscape (fetched 2026-08-29T08:17:37.814751+00:00, sha 1839edb2d3f5)
  - site_page: https://hydra.cc/docs/1.3/intro (fetched 2026-08-29T08:17:37.817507+00:00, sha 90292ede1824)
  - site_page: https://hydra.cc/docs/0.11/intro (fetched 2026-08-29T08:17:37.824852+00:00, sha 4cbab954ef50)
- Data as of 2026-08-30T08:39:29.467469+00:00.