exyte/OpenAI
Rank not captured·Top 100·All-time stars·Cached ranking snapshot·
GitStar uses this page as a validation layer: visible, active, adopted, and confidence signals are pulled into one first-fold read before you open the source repository.
First read
Real package usage exists, but freshness needs a closer look
exyte/OpenAI shows signs of reuse beyond stars, yet recent activity is softer. Read the repository as a potentially durable dependency, but verify maintenance rhythm before treating it as a default choice.
Visible
55 public stars in the current GitStar snapshot.
Needs a narrower context read
Active
Last commit Jun 10, 2025.
Stale activity
Adopted
pypi gives the strongest production-style signal.
23.1M/week
Confidence
One or more key signals are partial, so GitStar keeps the interpretation conservative.
Partial snapshot
Snapshot facts
- 55 stars
- 2 forks
- Last commit Jun 10, 2025
- pypi 23.1M/week
Compare lens
alchaincyf/steve-jobs-skill and Nightmare-Eclipse/BlueHammer are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.
Signal trail
Trajectory
Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.
Daily momentum
Recent momentum is not captured
Weekly momentum
Recent momentum is not captured
Monthly momentum
Recent momentum is not captured
Last commit
Jun 10, 2025
Package reality
GitStar found pypi:openai. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.
Hype vs Reality
Hidden Gem
Package mapping
pypi · openai
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for exyte/OpenAI, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.
Package signal
Install & Package Signals
GitStar uses the strongest linked package signal below when it reads Hype vs Reality for this repository.
Hidden Gem
Package adoption looks stronger than headline visibility alone suggests.
PyPI package
openai
23.1M downloads/week
pip install openai
🛡️ Editorial Context
GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.
Why this rank
This repository stands out because it combines package adoption.
Package adoption
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 55
Daily momentum
No signal
Weekly momentum
No signal
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars55
Weekly package downloads23.1M
🧭 Hype vs Reality
Hidden GemPackage adoption looks stronger than headline visibility alone suggests.
The repo may matter more in real dependency graphs than its current star narrative implies, so compare it against louder peers before dismissing it.
Status
Hidden Gem
Package footprint
PyPI · 23.1M/week
Method note
Hidden Gem means the strongest package signal is healthy relative to the repo’s star base or recent momentum. Compare it against other Swift repos before treating stars as a moat.
Related alternative
alchaincyf/steve-jobs-skill
This is a nearby alternative in the visible ecosystem around the repo, useful for a directional compare pass before opening docs and source code.
Related alternative
Nightmare-Eclipse/BlueHammer
This is a nearby alternative in the visible ecosystem around the repo, useful for a directional compare pass before opening docs and source code.
Related alternative
LaurieWired/tailslayer
This is a nearby alternative in the visible ecosystem around the repo, useful for a directional compare pass before opening docs and source code.
Related alternative
jinchenma94/bazi-skill
This is a nearby alternative in the visible ecosystem around the repo, useful for a directional compare pass before opening docs and source code.
Research links
Cross-links
Compare against related repos
GitStar picked steve-jobs-skill + BlueHammer as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
[](https://gitstar.space/repo/exyte/OpenAI)HTML
<a href="https://gitstar.space/repo/exyte/OpenAI"><img src="https://gitstar.space/api/badge/exyte/OpenAI" alt="GitStar"></a>Styles:
Wider nearby ecosystem
517 stars
alchaincyf/steve-jobs-skill
乔布斯.skill — Steve Jobs的认知操作系统。6个心智模型 + 8条决策启发式 + 完整表达DNA。由女娲.skill生成。
C
545 starsNightmare-Eclipse/BlueHammer
Repository hosting the bluehammer vulnerability
C++
550 starsLaurieWired/tailslayer
Library for reducing tail latency in RAM reads
590 stars
jinchenma94/bazi-skill
四柱八字命理分析
Python
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JavaScript
615 starsLarsenCundric/port-whisperer
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Next step after the validation read
Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Learn and methodology
Keep trust-building context reachable, but behind the first data read instead of ahead of it.
About This Page
This page provides a quick overview of exyte/OpenAI based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.
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