hypothesis/h

Annotate with anyone, anywhere.

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hypothesis/h has 3k+ stars and 450+ forks on GitHub, is written in Python, and was last pushed on Oct 14, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 25 minutes ago
Added to GitGenius on September 21st, 2026
Created on April 2nd, 2012
Open Issues & Pull Requests: 225 (+0)
GitHub issues: Enabled
Number of forks: 459
Total Stargazers: 3,188 (+0)
Total Subscribers: 84 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.8 hours
Mean response time: 102.0 days
90th percentile: 56.7 days
Tracked items: 144

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 75% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 56
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 665 days
Stale 30+ days: 54
Stale 90+ days: 52

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • project: group moderation (17)
  • bug (16)
  • frontend (12)
  • project: @mentions (11)
  • Backend (8)
  • code health (5)
  • document equivalence (5)
  • feature request (4)

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Detailed Description

Hypothesis is an annotation platform that enables users to annotate web content collaboratively.

The project addresses the need for shared annotation and discussion of web pages and documents. It works by allowing users to highlight text and attach notes, tags, and replies to specific passages, creating a layer of collaborative commentary over existing web content. The annotations are stored centrally and can be shared with specific groups or made public, enabling multiple users to discuss and reference the same passages in context.

Organizations and communities that rely on collaborative reading, research, or document review benefit most from this tool. It suits educational settings where instructors and students need to discuss texts together, research teams analyzing documents, and any workflow where in-context feedback and discussion improve comprehension or decision-making. The project provides both a hosted service and the ability to run a self-hosted instance, giving teams flexibility in deployment depending on their privacy and infrastructure requirements.

The project maintains steady development activity with regular commits addressing bug fixes, feature improvements, and maintenance tasks. Work spans across the full stack, including backend API enhancements, frontend interface refinements, and infrastructure updates. The codebase shows consistent attention to both new functionality and the stability of existing systems. Development appears distributed across multiple areas of the application rather than concentrated in a single component, suggesting a mature project with broad maintenance needs.