Snorkel AI · Rate Limits

Snorkel Ai Rate Limits

Snorkel Flow is an enterprise platform accessed through the snorkelflow Python SDK against a customer's own per-instance deployment, not a shared public API gateway. Snorkel does not publish public rate-limit, RPM/TPM, or quota documentation; throughput and concurrency are governed by the provisioned instance size, compute resources, and the negotiated enterprise agreement rather than a standardized public limit. The open-source snorkel library runs locally and has no network rate limits. No specific limit values are reconciled in this artifact.

Snorkel Ai Rate Limits is the machine-readable rate-limit profile for Snorkel AI on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 3 rate-limit definitions, measuring requests, jobs, and usage.

The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.

Tagged areas include AI, Data Development, Programmatic Labeling, Weak Supervision, and SDK.

3 Limits Throttle: 429
AIData DevelopmentProgrammatic LabelingWeak SupervisionSDKRate LimitingQuotasThrottling

Limits

SDK / REST Requests instance
requests
see provider documentation
Governed by the provisioned Snorkel Flow instance and enterprise agreement; no public per-account RPM/TPM published.
Concurrent Jobs instance
jobs
see provider documentation
Training, labeling, and evaluation job concurrency depends on instance compute resources.
Open-Source Library local
usage
not applicable
Runs as a local Python dependency; no network rate limits apply.

Policies

Instance-Governed Limits
Throughput and concurrency follow the provisioned Snorkel Flow deployment and negotiated enterprise terms rather than a fixed public limit.
Backoff Strategy
SDK clients should implement exponential backoff with jitter and honor Retry-After on any 429 returned by the instance REST API.

Sources