FLAML
pypiv2.6.0A fast library for automated machine learning and tuning
License MITpermissive105 versions91 deps
microsoft/FLAML70
/ 100
Health
safe to use
[email protected] is safe to use (health: 70/100)
Health breakdown0 – 100
25/25
maintenance
0/20
popularity
25/25
security
15/15
maturity
5/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
Dependencies (91)
NumPylightgbmxgboostscipypandasscikit-learnjupyter;pysparkpandasjoblibsparkjoblibnumpynumpyjupyter;lightgbmxgboostxgboostscipypandasscikit-learnthop;pytestpytest-rerunfailurescoveragepre-commit;torch;torchvision;catboostrgf-python;optunaopenml;statsmodelspsutil;transformers[torch];datasets;evaluate;nltkrouge_score;hcrystalball;seqeval;pytorch-forecasting;mlflow-skinnyjoblibsparkjoblibnbconvert;nbformat;ipykernel;pytorch-lightning;tensorboardX;requests;packaging;dill;catboostoptunapackaging;ray[tune]azureml-mlflow;nni;vowpalwabbitscikit-learn;
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/pypi/FLAMLLast updated · 2026-04-28T02:03:25.263269Z