In the Crest catalog
refuel-ai/autolabel
Label, clean and enrich text datasets with LLMs.
- Stars
- 2.3K
- Forks
- 158
- Language
- Python
- Last push
- 20mo ago
- Last release
- 3y ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
refuel-autolabel
PyPI · v0.0.16 · MIT License
Label, clean and enrich text datasets with LLMs
- AI & Machine Learning (primary)
- LLM Apps & Clients
- Data Science & Visualization · Tentative
- RAG · Tentative
- Databases · Tentative
- AI Agents · Tentative
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install refuel-autolabelAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.24
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 47
- 16 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.0.16
- 16 versions
- First published
- JUN 14, 2023
- Last release
- OCT 16, 2023
- 3y ago
- Licence
- MIT License
Repository
Dependencies latest version · v0.0.16
Runtime 22
- SQLAlchemy
>=2.0.19 - datasets
>=2.7.0 - ipywidgets
==8.0.6 - jsonschema
>=4.17.3 - langchain
==0.0.226 - loguru
>=0.5.0 - matplotlib
>=3.5.0 - nervaluate
>=0.1.8 - numpy
>=1.23.0 - pandas
>=1.3.0 - pydantic
>=1.10.9 - regex
>=2023.6.3 - requests
>=2.27.0 - rich
>=13.3.5 - scikit-learn
>=1.0.0 - scipy
>=1.10.1 - simple-term-menu
>=1.6.1 - tabulate
>=0.9.0 - tenacity
>=8.2.2 - torch
>=1.10.0 - typer
>=0.9.0 - wget
>=3.2
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- autogluon-coreFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-commonFast and Accurate ML in 3 Lines of CodeSame primary category
Related news
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