MLflow

aid: mlflow
url: https://raw.githubusercontent.com/api-evangelist/mlflow/refs/heads/main/apis.yml
name: MLflow
kind: opensource
description: 'MLflow is an Apache 2.0 open-source platform for the end-to-end ML and GenAI lifecycle: tracking, model registry,
  deployment, evaluation, traces, prompts, and GenAI gateway. The tracking server exposes a REST API under `/api/2.0/mlflow`.'
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: true
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  - pricing
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mlflow.png
tags:
- ML
- MLOps
- GenAI
- Experiment Tracking
- Open-Source
tags_raw:
- ML
- MLOps
- GenAI
- Experiment Tracking
- Open Source
created: '2026-05-08'
modified: '2026-05-08'
specificationVersion: '0.23'
apis:
- aid: mlflow:mlflow-tracking-rest-api
  name: MLflow REST API
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - REST
  - Experiments
  - Runs
  - Model Registry
  - Artifacts
  description: The MLflow tracking server exposes a REST API for experiments, runs, parameters, metrics, tags, registered
    models, model versions, model aliases, and artifacts, plus newer endpoints for traces, prompts, datasets, and the AI gateway.
    POST requests use `application/json`. Pagination via `max_results` / `page_token`. Authentication is deployment-specific
    (basic auth, OIDC, or none).
  properties:
  - type: Documentation
    url: https://mlflow.org/docs/latest/rest-api.html
  - type: SDKs
    title: Python (mlflow)
    url: https://mlflow.org/docs/latest/python_api/index.html
  - type: SDKs
    title: Java
    url: https://mlflow.org/docs/latest/java_api/index.html
  - type: SDKs
    title: R
    url: https://mlflow.org/docs/latest/R-api.html
- aid: mlflow:mlflow-gateway-api
  name: MLflow AI Gateway API
  humanURL: https://mlflow.org/docs/latest/llms/gateway/index.html
  baseURL: http://{gateway}/gateway
  tags:
  - GenAI
  - LLM Gateway
  - REST
  description: The MLflow AI Gateway provides a unified HTTP interface to LLM providers with routing, rate-limiting, and secret
    management features.
  properties:
  - type: Documentation
    url: https://mlflow.org/docs/latest/llms/gateway/index.html
- aid: mlflow:mlflow-artifacts-api
  name: MLflow Artifacts API
  description: List and obtain presigned URLs for run artifacts.
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - Artifacts
  properties:
  - type: OpenAPI
    url: openapi/mlflow-artifacts-api-openapi.yml
- aid: mlflow:mlflow-experiments-api
  name: MLflow Experiments API
  description: Manage MLflow experiments.
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - Experiments
  properties:
  - type: OpenAPI
    url: openapi/mlflow-experiments-api-openapi.yml
- aid: mlflow:mlflow-metrics-api
  name: MLflow Metrics API
  description: Log and retrieve metric history for runs.
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - Metrics
  properties:
  - type: OpenAPI
    url: openapi/mlflow-metrics-api-openapi.yml
- aid: mlflow:mlflow-model-versions-api
  name: MLflow Model Versions API
  description: Manage versions of registered models.
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - Model Versions
  properties:
  - type: OpenAPI
    url: openapi/mlflow-model-versions-api-openapi.yml
- aid: mlflow:mlflow-registered-models-api
  name: MLflow Registered Models API
  description: Manage registered models in the MLflow Model Registry.
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - Registered Models
  properties:
  - type: OpenAPI
    url: openapi/mlflow-registered-models-api-openapi.yml
- aid: mlflow:mlflow-runs-api
  name: MLflow Runs API
  description: Create and manage runs within an experiment.
  humanURL: https://mlflow.org/docs/latest/rest-api.html
  baseURL: http://{tracking_server}/api/2.0/mlflow
  tags:
  - Runs
  properties:
  - type: OpenAPI
    url: openapi/mlflow-runs-api-openapi.yml
common:
- type: IssueTracker
  url: https://github.com/mlflow/mlflow/issues
- type: Releases
  url: https://github.com/mlflow/mlflow/releases
- type: SecurityPolicy
  url: https://github.com/mlflow/mlflow/blob/master/SECURITY.md
- type: ContributionGuide
  url: https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.md
- type: AgenticAccess
  url: agentic-access/mlflow-agentic-access.yml
- type: DomainSecurity
  url: security/mlflow-domain-security.yml
- type: Authentication
  url: authentication/mlflow-authentication.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/mlflow-org
- type: Website
  url: https://mlflow.org/
- type: Portal
  url: https://mlflow.org/docs/latest/
- type: SourceCode
  url: https://github.com/mlflow/mlflow
- type: License
  url: https://github.com/mlflow/mlflow/blob/master/LICENSE.txt
- type: CommercialOffering
  title: Databricks Managed MLflow
  url: https://www.databricks.com/product/managed-mlflow
- type: Plans
  url: plans/mlflow-plans-pricing.yml
- type: RateLimits
  url: rate-limits/mlflow-rate-limits.yml
- type: FinOps
  url: finops/mlflow-finops.yml
- type: LlmsText
  url: https://mlflow.org/llms.txt
- url: https://mlflow.org/blog/rss.xml
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com