Aim ML Experiment Tracking
ATH Infosystems · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on Microsoft Marketplace.
Aim ML is an open-source machine learning experiment tracking platform that helps data scientists and developers track, compare, and visualize machine learning experiments, metrics, parameters, and model performance.
Key Features of Aim ML:
Show the rest of the publisher’s description (13 more lines)
- Open-source machine learning experiment tracking platform.
- Tracks metrics, parameters, hyperparameters, and experiment metadata.
- Provides a web-based interface for visualizing experiment results.
- Supports comparison of multiple machine learning experiments.
- Helps monitor and analyze model training performance.
- Suitable for machine learning development, experimentation, and model evaluation environments.
Aim ML Usage:
$ sudo su
$ cd /opt/aim
$ source venv/bin/activate
$ aim version
Disclaimer:
Aim ML is an open-source machine learning experiment tracking platform. Users are responsible for configuring the tracking environment, managing experiment data, and reviewing recorded metrics and results before making decisions based on experiment outcomes.
Agent build and provenance
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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
Reconciled on 9/3/2026
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.