AI-Hypercomputer/gpu-recipes
Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.
Summary
The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.
AI-Hypercomputer/gpu-recipes recorded 36 commits in the past 30 days, has 42 public contributors, and has averaged 0.2 stars a day since launch.
Repository health
Maintainer track record
Repository quality
Catalyst Score
Contributors
Public track record
@AI-Hypercomputer · Repository organization
Active maintainer with a growing open-source track record.
@tonyjohnchen · Top contributor
This account has a limited public history, so the track-record score is less certain.
@ngu3 · Top contributor
This account has a limited public history, so the track-record score is less certain.
@incredere · Top contributor
This account has a limited public history, so the track-record score is less certain.
Score breakdown
How the Catalyst Score was calculated
Activity
Recent repository activity
36
Commits · 30d
42
Public contributors
0.2
Lifetime stars/day
0
Pull requests · 90d
Findings
What we found
36 commits in the last 30 days
42 public contributors
0 issues and 0 pull requests opened in 90 days
6 documentation and structure checks passed
Related repositories
benchmarks · 0 created in the past 30 days
Risk review
What needs watching
Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.
Growth quality
Recent attention and maintainer concentration
Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.
Contributor concentration
Top 42 public contributors
- Top contributor share
- 27%
- Top three share
- 52%
- Contributors checked
- 42
- Concentration
- Moderate
Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.
Recent commit sample
Latest 100 commits
- Unique authors
- 10
- Verified commits
- 39%
- Merge commits
- 34%
- Median time between commits
- 5 min
Repository footprint
Default branch: main
- Repository size
- 1.5 MB
- Branches
- 107
- Tags
- 0
- Watchers
- 10
Deeper GitHub data
Delivery, collaboration, and project readiness
These metrics use the latest public records GitHub makes available for this repository.
Language composition
Share of detected source bytes
Community readiness
GitHub community health 50%
Pull request health
Latest 50 pull requests
- Merge rate
- 97%
- Median merge time
- 36.8 hours
- Open
- 15
- Stale over 30 days
- 7
Issue health
Latest 1 issues
- Closure rate
- 0%
- Median close time
- Not enough data
- Open
- 1
- Open without replies
- 1
CI reliability
Latest 50 workflow runs
- Success rate
- 90%
- Workflows represented
- 2
- Failed runs
- 5
- Median duration
- 0.2 min
Last checked
8/25/2026, 8:11:29 PM