Open Source · Observability
FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Our verdict
We have not reviewed FLAML yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About FLAML
FLAML is a fast AutoML and hyperparameter tuning library from Microsoft. It automatically searches for optimal machine learning models and configurations with minimal user input, using efficient search strategies to reduce computational cost.
Best for
Data scientists and ML engineers who need fast, lightweight AutoML for tabular data and hyperparameter tuning
Use cases
- Automatically select and tune models for classification or regression tasks
- Optimize hyperparameters for custom machine learning pipelines
- Quickly prototype and compare multiple model families with minimal code
Notes
4,360 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Pros
- Lightweight and fast compared to many AutoML frameworks
- Supports cost-aware tuning to balance accuracy and resource usage
- Active community with open-source development on GitHub
Cons
- Limited to supervised learning tasks (no support for NLP or computer vision out of the box)
- Documentation can be sparse for advanced customization
- Jupyter Notebook primary language may require additional setup for production deployment
Key facts
What we have checked
- Latest version
- 2.7.0 (released 18 Sept 2026)
- GitHub stars
- 4,398
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How FLAML is growing
4,360 to 4,398
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Released 2.7.0
Released 2.6.0
Released 2.5.0
Released 2.4.1
Released 2.4.0
Released 2.3.6
Released 2.3.5
Released 2.3.4
Released 2.3.3
Released 2.3.2
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