Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Ludwig is an open-source, no-code machine learning toolbox written in Python. It allows users to train and test models without writing extensive code, supporting multiple data types such as text, images, audio, and sequences. Ludwig automates data preprocessing, model building, and evaluation, and can leverage GPU acceleration through TensorFlow for faster training and inference. It is widely used for AI, machine learning, and data analytics tasks.
Features of Ludwig:
Show the rest of the publisher’s description (13 more lines)
- No-code approach for building and training machine learning models.
- Supports multiple data types and modalities, including text, images, audio, and sequences.
- Automated data preprocessing, model generation, and evaluation pipelines.
- GPU acceleration via TensorFlow for faster training and inference.
- Flexible and extensible, allowing custom encoders, decoders, and training configurations.
- Open-source and actively maintained, widely used in research and practical applications.
To verify the working of LudWig in your shell:
$ sudo su
$ sudo apt update
$ cd /opt/ludwig_project
$ source /opt/ludwig_project/venv/bin/activate
$ ludwig --version
Disclaimer: Ludwig is released under the Apache License 2.0 and maintained by the Ludwig community. Users are responsible for ensuring correct usage in their specific applications. The developers do not take responsibility for any consequences arising from its use. Always refer to the official documentation for the most accurate and up-to-date information.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
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.