AU

refuel-ai/autolabel

Label, clean and enrich text datasets with LLMs.

2.3k 161 +0/wk
GitHub
anthropic-claude data-science gpt-4 huggingface-transformers langchain large-language-models llm llms machine-learning openai python
Trend 3

Star & Fork Trend (36 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

refuel-ai/autolabel has +0 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric autolabel instill-core ml-retreat labml
Stars 2.3k 2.3k2.3k2.3k
Forks 161 126253150
Weekly Growth +0 +0+0+0
Language Python PythonJupyter NotebookPython
Sources 1 111
License MIT NOASSERTIONN/AMIT

Capability Radar vs instill-core

autolabel
instill-core
Maintenance Activity 0

Last code push 400 days ago.

Community Engagement 35

Fork-to-star ratio: 7.0%. 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 MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.