nikolaydubina/go-recipes

🦩 Tools for Go projects

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Summary Information

Updated 3 minutes ago
Type:Curated List / Learning ResourceCategory(s):General Awesome Lists & DirectoriesLearning & Resources
Added to GitGenius on September 14th, 2026
Created on June 26th, 2021
Open Issues & Pull Requests: 24 (+0)
GitHub issues: Enabled
Number of forks: 187
Total Stargazers: 4,750 (+1)
Total Subscribers: 45 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 159.1 days
Mean response time: 182.9 days
90th percentile: 339.6 days
Tracked items: 72

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 0% of open issues come from outside the core team — the tracker reads mainly as internal planning. Only 3% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 20
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 641 days
Stale 30+ days: 19
Stale 90+ days: 19

Recent activity

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

Top labels

  • v5 (30)
  • v6 (20)
  • help wanted (17)
  • good first issue (8)
  • ideas (6)
  • 2026 (5)
  • low-pri (5)
  • go-recipes (3)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Go Recipes is a curated collection of tools for Go projects.

The project addresses the challenge of discovering and understanding the landscape of Go development tools by assembling both well-known and lesser-known utilities in one place. It serves as a reference guide that helps developers navigate the ecosystem of tools available for common tasks like benchmarking, profiling, static analysis, code generation, visualization, and testing.

Developers should use this collection when they need to find appropriate tools for specific Go development workflows. It suits teams looking to improve their development practices through better tooling, whether for performance optimization, code quality, or visualization needs. The project is particularly valuable for those unfamiliar with the full range of available options in the Go ecosystem, as it surfaces tools that might not be immediately discoverable through standard searches.

The project maintains an active curation approach, regularly updating its collection to reflect the evolving Go tooling landscape. Development activity shows consistent engagement with the repository, indicating ongoing maintenance and refinement of the tool recommendations included.