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Decision brief
FLAML streamlines AutoML and tuning tasks with optimized algorithms for model selection and hyperparameter optimization across classification, regression, NLP, and time-series forecasting.
Good fit when
- When working with Python >= 3.10 and < 3.14 to ensure full support of all models in FLAML.
- For projects that demand high efficiency in model tuning and where the dataset involves classification, regression, or natural language processing tasks.
Avoid when
- When your project is restricted to using Python versions below 3.10 or equal to and above 3.14, as FLAML's full feature support may not be available.
- If the scope of work does not include AutoML tasks such as hyperparameter optimization or model selection for classification, regression, NLP, or time-series forecasting.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Microsoft. Display-only - separate from trust and ranking.
- Company
- Microsoft·GitHub org profile·1mo
- Employees
- 221,000·Wikidata (P1128 employees)·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
git clone https://github.com/microsoft/FLAMLSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
FLAML is a Python-based automated machine learning framework that simplifies hyperparameter optimization and model tuning for various tasks including classification, regression, natural language processing, and time-series forecasting.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 4, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 4, 2026
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Aug 4, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 4, 2026)
The latest version of FLAML requires **Python >= 3.10 and < 3.14**. While other Python versions may work for core components,Source link
Tags
README
Installation
The latest version of FLAML requires Python >= 3.10 and < 3.14. While other Python versions may work for core components, full model support is not guaranteed. FLAML can be installed via pip:
pip install flaml
Minimal dependencies are installed without extra options. You can install extra options based on the feature you need. For example, use the following to install the dependencies needed by the automl module.
pip install "flaml[automl]"
Find more options in Installation.
Each of the notebook examples may require a specific option to be installed.
For agents
This page has a .md twin and JSON over the API.