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curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
207 61 +0/wk
GitHub
bert deep-learning deploy-machine-learning deployment fastapi huggingface huggingface-transformer machine-learning python pytorch rest rest-api
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | Deploy-BERT-for-Sentiment-Analysis-with-FastAPI | registry-broker-skills | odak | SentryPeer |
|---|---|---|---|---|
| Stars | 207 | 207 | 206 | 208 |
| Forks | 61 | 3 | 61 | 24 |
| Weekly Growth | +0 | +1 | +0 | +1 |
| Language | Python | TypeScript | Python | C |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MPL-2.0 | NOASSERTION |
Capability Radar vs registry-broker-skills
Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
registry-broker-skills
Maintenance Activity 0
Last code push 1218 days ago.
Community Engagement 100
Fork-to-star ratio: 29.5%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.