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mlflow-oidc / mlflow-oidc-auth

MLflow Access Control: authentication and access control for MLflow — SSO (OIDC, SAML), SCIM provisioning, service accounts and per-resource permissions

Why this job: works in the areas we cover, but does not say which job it does

What it does

  • Single sign-on for the MLflow UI and API through any OpenID Connect provider (confidential or PKCE public clients) or SAML 2.0 identity provider, with several providers side by side
  • Programmatic access. automation authenticates with short-lived workload identities — Kubernetes service-account tokens or IdP client-credentials / workload-identity tokens (JWT bearer); people using the MLflow client from a laptop or notebo
  • SCIM 2.0 provisioning of users and groups from your directory
  • Permissions (READ, USE, EDIT, MANAGE) on experiments, registered models, prompts, scorers and AI Gateway resources, granted to users, groups or regex patterns, with deny by default
  • Workspaces for multi-tenant isolation on a shared MLflow server

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 9 days ago
Stars
133
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v11.0.5
Released 9 days ago
Built with
Python
77% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
91% closed
16 still open
Pull requests
218 merged
7 waiting
Releases
188
30+ in the last year

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More: languages, topics and project record

Languages

  • Python 77%
  • TypeScript 23%
  • HTML <1%
  • Jupyter Notebook <1%

Topics

  • access-control
  • authentication
  • authorization
  • machine-learning
  • mlflow
  • mlflow-tracking-server
  • oauth2
  • oidc
  • permission-management
  • rbac
  • saml
  • scim

Project record

  • JobOther AI tools
  • StatusListed
  • Commits514
  • Forks72
  • Watching6
  • Stars in 28 days+2
  • CreatedApr 1, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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