GraphCanon updated Oct 2, 2026 · GitHub synced Oct 2, 2026
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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
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of Oct 2, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 2, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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·Jul 11, 2026
- Employees
- 221,000·Wikidata (P1128 employees)·Jul 11, 2026
- Commercial model
- Pure OSS·GitHub org profile (public repos)·Jul 11, 2026
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 · Oct 2, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Oct 2, 2026
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Oct 2, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 2, 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 : Minimal dependencies are installed without extra options. You can install extr...
For agents
This page has a .md twin and JSON over the API.