hydra-ecosystem/hydra

Hydra is a framework for elegantly configuring complex applications

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Summary Information

Updated 14 minutes ago
Added to GitGenius on September 5th, 2026
Created on June 12th, 2019
Open Issues & Pull Requests: 71 (+0)
GitHub issues: Enabled
Number of forks: 975
Total Stargazers: 10,639 (+0)
Total Subscribers: 129 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.7 days
Mean response time: 196.2 days
90th percentile: 823.5 days
Tracked items: 420

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 48% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. Work labelled "question" is answered fastest, typically in about 6 hours, while "maintenance" waits about 12 days. Only 4% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 71
New in 7 days: 6
Closed in 7 days: 36
Avg open age: 893 days
Stale 30+ days: 45
Stale 90+ days: 2

Recent activity

Opened in 7 days: 3
Closed in 7 days: 28
Comments in 7 days: 10
Events in 7 days: 38

Top labels

  • enhancement (174)
  • bug (143)
  • plugin (29)
  • sweep (25)
  • triage (20)
  • documentation (18)
  • maintenance (18)
  • question (14)

Detailed Description

Hydra is a framework for elegantly configuring complex applications.

Hydra addresses the challenge of managing configuration in applications where settings grow complex and interconnected. It works by allowing developers to compose configurations from multiple sources, override values from the command line, and validate configurations through structured schemas. The framework uses a declarative approach where configuration files define application behavior, reducing the need for hardcoded values and making applications more flexible and maintainable.

Hydra suits projects where configuration complexity would otherwise require extensive boilerplate or manual parsing logic. It is particularly valuable for machine learning workflows, data processing pipelines, and any application with numerous interdependent settings. Teams building tools that need to support multiple environments or experimental variations will find the composition and override capabilities especially useful. The framework integrates with OmegaConf for configuration management and supports structured configs through dataclasses and attrs, enabling type-safe configuration definitions.

The project maintains active development with a stable release line and a development version accepting contributions. The codebase follows consistent code style standards and includes comprehensive test coverage through continuous integration workflows. The project has transitioned to independent stewardship under the hydra-ecosystem organization while retaining its MIT license and full development history.