OpenAI
Portfolio concentration
100%
Top three share
Shows whether the organization is driven by one breakout repo or several visible projects.
Breadth
3 repos
Visible snapshot
0 repositories updated in the last 90 days.
Leading language
Unknown
Portfolio mix
Unknown (3)
Average size
36K
Stars per repository
Useful for distinguishing one flagship-heavy publisher from a repeatable portfolio.
100%
of the visible star count comes from this organization's top three repositories.
36K
stars per repository in this same snapshot.
Unknown
is the most common language here, with 0 repositories updated in the last 90 days.
Why this rank
This organization stands out because one flagship repo drives 51% of its visible star count.
Organization pages work best when you separate portfolio breadth from flagship concentration. In OpenAI's case, the visible top three repositories account for about 100% of total stars in this snapshot, which helps explain whether the organization is known for one breakout project or for a broader repeatable portfolio.
The dominant language mix here is Unknown (3). That makes this page useful not just for popularity checks, but also for seeing what technical shape an organization's public ecosystem actually has.
Top Repositories
| # | Repository | Language | ⭐ Stars | 🍴 Forks | Updated |
|---|---|---|---|---|---|
| 1 | openai/whisper OpenAI project | 55K | 5.5K | Unknown | |
| 2 | openai/gym OpenAI project | 33K | 3.3K | Unknown | |
| 3 | openai/chatgpt-retrieval-plugin OpenAI project | 20K | 2K | Unknown |
Next step after the organization read
Learn and methodology
How to Read This Snapshot
Total stars are useful as a discovery signal, but they do not tell you whether a team maintains every repository equally. Pair this page with release cadence, maintainer activity, and the flagship concentration shown above before making adoption decisions.
For broader background on GitStar's ranking logic and editorial guidance, see Methodology & Editorial Standards.