facebook/openzl

A novel take on lossless data compression

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Summary Information

Updated 30 minutes ago
Added to GitGenius on September 21st, 2026
Created on September 30th, 2025
Open Issues & Pull Requests: 71 (+0)
GitHub issues: Enabled
Number of forks: 172
Total Stargazers: 3,264 (+0)
Total Subscribers: 17 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 13.7 hours
Mean response time: 21.8 days
90th percentile: 82.9 days
Tracked items: 78

Maintainer activity

8 people 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 7, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits.

How this project is maintained

About 18% of issues opened in the past year have never received a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 67% of issues opened in the past year have been closed, leaving a working backlog. Three people close 50% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 33
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 201 days
Stale 30+ days: 24
Stale 90+ days: 22

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 4
Events in 7 days: 4

Top labels

  • question (11)
  • SDDL (8)
  • answered (8)
  • Feature Request (7)
  • build (7)
  • bug (6)
  • documentation (6)
  • UX-Issue (3)

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Detailed Description

OpenZL is a lossless data compression library that takes a novel approach to reducing data size while preserving all original information.

The library addresses the need for efficient data compression by implementing a compression strategy that differs from conventional approaches in the field. Rather than relying on standard algorithms, it introduces a distinct methodology designed to achieve compression goals through an alternative technical framework.

Developers considering adoption should evaluate whether the novel approach aligns with their specific compression requirements and performance constraints. The tool suits projects where conventional compression methods may not meet particular needs or where exploring alternative compression strategies is beneficial. The README does not name competing alternatives, so direct comparisons to other compression libraries cannot be drawn from the available documentation.

The project shows active development with regular code contributions and ongoing refinement of its compression implementation. The codebase receives consistent updates that suggest sustained engineering effort toward improving the library's capabilities and reliability.