Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
FLAML (Fast Lightweight AutoML) is an open-source machine learning library developed by Microsoft that automates the process of selecting the best model and tuning hyperparameters. It is designed to deliver high performance with minimal computational cost, making it efficient for real-world AI and data science applications.
Features of FLAML:
Show the rest of the publisher’s description (11 more lines)
- Automatically selects the best machine learning model for a dataset.
- Performs fast and efficient hyperparameter optimization.
- Lightweight and requires low computational resources.
- Supports multiple ML tasks such as classification, regression, and forecasting.
- Works well with popular libraries like scikit-learn, LightGBM, XGBoost, and PyTorch.
FLAML Usage Instructions:
$ sudo su
$ cd /opt/flaml_project
$ source venv/bin/activate
$ python3 -c "import flaml; print(flaml.__version__)"
Disclaimer: FLAML is an open-source software library released under the MIT License. It is developed by Microsoft and the open-source community. The software is provided "as is" without any warranties. Users are responsible for proper implementation and usage based on their project requirements.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

