Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Snorkel Flow is an AI data development platform designed to help data science and machine learning teams efficiently create, label, curate, and manage high-quality training datasets. It enables users to programmatically label and organize data using domain knowledge, reducing the manual effort required for traditional data annotation workflows. Snorkel Flow supports scalable data development processes for machine learning and AI applications, helping organizations improve dataset quality, accelerate model development, and build production-ready AI systems.
Features of Snorkel Flow:
Show the rest of the publisher’s description (19 more lines)
- AI data development platform for creating and managing high-quality training datasets.
- Supports programmatic data labeling and annotation workflows.
- Enables domain experts to incorporate domain knowledge into data labeling processes.
- Helps reduce the time and manual effort required for traditional data annotation.
- Supports data curation and dataset management for machine learning applications.
- Enables scalable and iterative data development workflows.
- Helps improve training data quality for AI and machine learning models.
- Suitable for enterprise AI, machine learning, natural language processing, computer vision, and other data-driven applications.
- Can be integrated into AI and machine learning development workflows for building production-ready models.
Usage Instructions :
$ sudo su
$ cd /opt/snorkelflow
Activate the Snorkel Flow virtual environment:
$ source venv/bin/activate
Navigate to the Snorkel Flow directory:
$ cd snorkel
For verifying Snorkel installation:
$ python -c "import snorkel; print(snorkel.__version__)"
Disclaimer: Snorkel Flow and related Snorkel software are provided subject to their applicable license and terms of use. The software is offered "as is," without any warranty, express or implied. Snorkel Flow is intended as a data development and machine learning tool and is not a substitute for professional advice, validation, or decision-making. Users are responsible for ensuring the ethical, legal, secure, and appropriate use of Snorkel Flow and any models, datasets, or applications developed with it.
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
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