ToolAI Tools & APIsv2.3

FLAML

by Microsoft Research · open-source · Last verified 2026-03-17

Fast and Lightweight AutoML library from Microsoft Research that minimizes compute while maximizing accuracy. FLAML uses cost-aware hyperparameter search and is designed to be embedded inside larger systems, including the AutoGen multi-agent framework.

https://microsoft.github.io/FLAML ↗

C+

C+—Average

Adoption: C+Quality: AFreshness: ACitations: BEngagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: hyperparameter-optimization, model-selection, low-code-automl, online-learning, nlp-automl
Integrations: sklearn, pytorch, lightgbm, xgboost, ray, spark
Use Cases: embedded-automl, resource-constrained-environments, nlp-fine-tuning, tabular-classification, regression
API Available: No
SDK Languages: python
Deployment: self-hosted, cloud
Rate Limits: N/A (open-source)
Data Privacy: Self-hosted; data never leaves the runtime
Tags: automl, hyperparameter-optimization, efficient, microsoft, lightweight
Added: 2026-03-17
Completeness: 100%

Index Score

55.8

Adoption

Quality

Freshness

Citations

Engagement

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