robinebers/openusage

Burning through your subscriptions too fast? Paying for stuff you never use? Stop guessing. OpenUsage is free and open source.

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Summary Information

Updated 14 minutes ago
Added to GitGenius on September 16th, 2026
Created on February 1st, 2026
Open Issues & Pull Requests: 61 (+0)
GitHub issues: Enabled
Number of forks: 453
Total Stargazers: 4,210 (+1)
Total Subscribers: 7 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.7 hours
Mean response time: 5.1 days
90th percentile: 14.6 days
Tracked items: 474

Most active contributors

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How this project is maintained

About 7% of issues opened in the past year have never received a reply. 89% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Almost all tracked open issues have seen activity in the last three months. 89% of issues opened in the past year have been closed, leaving a working backlog. Three people close 93% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 55
New in 7 days: 15
Closed in 7 days: 8
Avg open age: 21 days
Stale 30+ days: 2
Stale 90+ days: 0

Recent activity

Opened in 7 days: 13
Closed in 7 days: 7
Comments in 7 days: 7
Events in 7 days: 28

Top labels

  • enhancement (194)
  • bug (147)
  • stale (42)
  • approved (33)
  • provider (20)
  • help wanted (10)
  • duplicate (5)
  • keep-open (2)

Detailed Description

OpenUsage is a subscription usage tracker that helps developers monitor their consumption across AI coding tools and services.

The tool addresses the problem of unclear spending on subscription services by providing visibility into actual usage patterns. It tracks consumption metrics for various AI coding assistants and similar services, allowing users to see exactly how much they are using each subscription and identify services they may be paying for without actively using. The approach works by aggregating usage data from these services in one place, eliminating the need to check multiple dashboards or rely on guesswork about spending.

Developers who frequently use multiple AI coding tools should consider this project if they want to optimize their subscription spending and avoid paying for unused services. The tool is particularly suited for those managing several concurrent subscriptions who lack a centralized view of their consumption patterns. The project explicitly targets users of popular services in this space, making it most relevant for teams or individuals with multiple active subscriptions they want to monitor together.

The project shows active development with regular commits addressing bug fixes and feature improvements. The codebase demonstrates ongoing refinement of core functionality based on user feedback. The maintainer actively responds to issues and incorporates suggestions for enhancing the tool's tracking capabilities. Development activity indicates a commitment to expanding the range of services the tool can monitor and improving the accuracy of usage data collection.