huggingface/transformers
Rank #49·Top 100·All-time stars·Cached ranking snapshot·
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
First read
Strong enough to justify a deeper source review
huggingface/transformers looks visible enough to matter, active enough to trust for a next pass, and adopted enough to merit checking maintainers, releases, and real integration cost in the source repository.
Visible
164.1K public stars in the current GitStar snapshot.
Long-term anchor
Active
Last commit Aug 14, 2026.
Fresh activity
Adopted
pypi gives the strongest production-style signal.
16.4M/week
Confidence
Both package adoption and momentum are available.
High-confidence read
Snapshot facts
- 164.1K stars
- 34.2K forks
- Last commit Aug 14, 2026
- pypi 16.4M/week
Compare lens
tensorflow/tensorflow and jina-ai/serve 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
+0
Weekly momentum
+612
Monthly momentum
Recent momentum is not captured
Last commit
Aug 14, 2026
Package reality
GitStar found pypi:transformers. Package traffic can help separate visible repositories from dependencies that are quietly used in real workflows.
Hype vs Reality
Balanced
Package mapping
pypi · transformers
Cross-links
Standalone repo read
Validation note
GitStar can summarize public signals for huggingface/transformers, 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.
Balanced
Recent attention and package usage are moving in the same direction.
PyPI package
transformers
16.4M downloads/week
pip install transformers
audiodeep-learningdeepseekgemmaglmhacktoberfestllmmachine-learningmodel-hubnatural-language-processingnlppretrained-modelspythonpytorchpytorch-transformersqwenspeech-recognitiontransformervlm
🐙Polyglot
🛡️ 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 612 weekly momentum and package adoption.
612 weekly momentumPackage adoptionFresh updateHigh lifetime stars
📈 Momentum & Adoption Signals
Approximate star trajectory
Reconstructed from current stars and cached daily/weekly/monthly deltas.
Now: 164.1K
Daily momentum
No signal
Weekly momentum
+612
Monthly momentum
No signal
Signal mix (log-scaled for readability)
Current stars164.1K
Weekly package downloads16.4M
🧭 Hype vs Reality
BalancedRecent attention and package usage are moving in the same direction.
This usually means the project has both mindshare and a measurable production footprint, which makes it a stronger validation candidate.
Status
Balanced
Package footprint
PyPI · 16.4M/week
Method note
Balanced means GitStar sees both meaningful package adoption and enough current star velocity or scale to avoid reading the repo as purely niche. Compare it against other Python repos before treating stars as a moat.
Related alternative
tensorflow/tensorflow
Shares the learning category footprint with huggingface/transformers, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
jina-ai/serve
Shares the learning category footprint with huggingface/transformers, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
google-ai-edge/mediapipe
Shares the learning category footprint with huggingface/transformers, so the comparison is closer to a same-problem decision than a same-language coincidence.
Related alternative
BVLC/caffe
Shares the learning category footprint with huggingface/transformers, so the comparison is closer to a same-problem decision than a same-language coincidence.
Research links
Cross-links
Compare against related repos
GitStar picked tensorflow + serve as the closest next comparison from the related repository set.
Repo utility
Embed Badge
Preview:
Markdown
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<a href="https://gitstar.space/repo/huggingface/transformers"><img src="https://gitstar.space/api/badge/huggingface/transformers" alt="GitStar"></a>Styles:
Wider nearby ecosystem
C++
197K starstensorflow/tensorflow
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Python
21.9K starsjina-ai/serve
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C++
36.6K starsgoogle-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
C++
34.6K starsBVLC/caffe
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Python
6.1K starsFederatedAI/FATE
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Python
79.7K starsd2l-ai/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
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 huggingface/transformers 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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