DI
argilla-io/distilabel
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
3.2k 233 +0/wk
GitHub
ai huggingface llms openai python rlaif rlhf synthetic-data synthetic-dataset-generation
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
argilla-io/distilabel has +0 stars this period . 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | distilabel | deepdoctection | deepsparse | fastNLP |
|---|---|---|---|---|
| Stars | 3.2k | 3.2k | 3.2k | 3.1k |
| Forks | 233 | 190 | 190 | 450 |
| Weekly Growth | +0 | -1 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | NOASSERTION | Apache-2.0 |
Capability Radar vs deepdoctection
distilabel
deepdoctection
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 37
Fork-to-star ratio: 7.4%. Lower fork ratio may indicate passive usage.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.