Snorkel AI Data Development Platform
Snorkel AISnorkel AI's commercial data-development platform: programmatic labeling and weak supervision through heuristic and model-generated labeling functions, plus curation, slicing, filtering and fine-tuning and evaluation data workflows. The customer deploys it rather than consuming it as a service, and the documentation carries an administrator guide covering installation, users, roles and permissions.
Renamed, not retired: it ships today as the Snorkel AI Data Development Platform, and Snorkel Flow is the former name. An earlier pass read only the marketing site, where the old path redirects, and concluded the product was gone; the documentation shows otherwise. Verified 2026-08-14 via docs.snorkel.ai.
Openness
1 high confidence- source
- closed(no published source
- license
- Proprietary
- self-host
- yes(customer-deployed, but from a proprietary distribution rather than published source)
The documentation carries an administrator installation guide, so the product is customer-deployed. That does not make it open: nothing on the documentation site offers source, a repository or a license grant, and the footer carries Terms of Use, SOC and HIPAA compliance badges rather than any OSI license. Self-hostable and closed-source are not in tension - openness is judged on whether the source is published, not on the deployment model, which puts this at 1, closed.
- https://docs.snorkel.ai/docs/26.1/administration/installation/prior-to-installing/installation-overview-and-conventions recorded 2026-08-14
installation guide for the platform - establishes a customer-deployed product, and offers no source, repository or license grant anywhere
- https://docs.snorkel.ai/ recorded 2026-08-14
product documented as "Snorkel AI Data Development Platform" v26.1, with User Guide, Admin Guide and SDK sections; no open-source statement anywhere, footer carries Terms of Use plus AICPA SOC and HIPAA badges
Adoption
3 low confidenceSnorkel publishes no usage figure of any kind - no customer count, no deployment count, no download count - so there is nothing to band, and the level can only rest on reported traction described qualitatively. Held at 3 on established enterprise and government traction. Funding is not adoption: an earlier reading leaned on a ~$1.3B Series D valuation, which appears on no page this record cites and would not have been a usage figure in any case. What the live documentation does establish is that the product is actively maintained and shipping, at v26.1 with dated release notes, which is what the level rests on.
- https://docs.snorkel.ai/ recorded 2026-08-14
actively maintained commercial platform at v26.1 with release notes; no customer count, deployment count or usage figure appears anywhere on the documentation site
Capability
4 medium confidenceDerived from the live documentation rather than the marketing site. The feature surface the score rests on - programmatic labeling, curation, an SDK, multi-user administration - is all documented and current at v26.1. Scored 4: a mature, well-documented commercial data development platform, below the open frontier tooling this category scores 5 on breadth of published method rather than on product polish.
- https://docs.snorkel.ai/ recorded 2026-08-14
User Guide, Admin Guide and SDK Overview sections at v26.1; legacy "Predictive ML" line documented through v25.4
Verified 2026-08-14