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mlflow/mlflow

mlflow

The open source AI engineering platform. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI agents, LLM applications, and ML models while controlling costs and managing access to models and data.

View on GitHub↗Upstream mlflow/mlflow↗

Builder

mlflow

mlflow

mlflow • individual

Stars

26,193

Using upstream star count

Forks

5,794

Using upstream fork count

Open Issues

0

Activity Score

0/100

638 commits in 30d

Created

Jun 5, 2018

Project creation date

README Summary

<h1 align="center" style="border-bottom: none"> <a href="https://mlflow.org/"> <img alt="MLflow logo" src="https://raw.githubusercontent.com/mlflow/mlflow/refs/heads/master/assets/logo.svg" width="200" /> </a> </h1> <h2 align="center" style="border-bottom: none">The Open Source AI Engineering Platform</h2>

Community Evaluation

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AI Dev Skills

Unmapped

AI Agent DevelopmentHyperparameter TuningLLM Application ManagementML Experiment TrackingMLOps EngineeringML Pipeline OrchestrationML ReproducibilityML Workflow ManagementModel DeploymentModel EvaluationModel Lifecycle ManagementModel MonitoringModel RegistryModel VersioningProduction ML Systems

Tags

AI Agent DevelopmentHyperparameter TuningLLM Application ManagementML Experiment TrackingMLOps EngineeringML Pipeline OrchestrationML ReproducibilityML Workflow ManagementModel DeploymentModel EvaluationModel Lifecycle ManagementModel MonitoringModel RegistryModel VersioningProduction ML SystemsAI AgentsAutoGenDSPyDeep LearningDockerEvalsForkedJavaScriptKubernetesLangChainLarge Language ModelsLlamaIndexMLOpsMLflowMachine LearningOpen SourceOpenAIPythonReal-Time / StreamingSageMakerScikit-learnTutorialTypeScript

Taxonomy

AI Trends

MLOpsAgentic AILLM ApplicationsProduction AI SystemsAI Engineering

category

MLOps & InfrastructureFoundation ModelsAI AgentsRAG & RetrievalEvals & BenchmarkingObservability & MonitoringInference & ServingCloud & PlatformsLearning Resources

Deployment Context

Cloud APISelf-hostedOn-premiseServerless

Modalities

TabularTextImageMultimodal

Skill Areas

ML Experiment TrackingModel Lifecycle ManagementML Pipeline OrchestrationModel DeploymentModel MonitoringML ReproducibilityModel RegistryHyperparameter TuningModel VersioningML Workflow ManagementProduction ML SystemsMLOps EngineeringModel EvaluationAI Agent DevelopmentLLM Application Management

tag

AI AgentsAutoGenDSPyDeep LearningDockerEvalsForkedJavaScriptKubernetesLangChainLarge Language ModelsLlamaIndexMLOpsMLflowMachine LearningModel RegistryOpen SourceOpenAIPythonReal-Time / StreamingSageMakerScikit-learnTutorialTypeScript

Use Cases

ML Experiment Tracking and ComparisonModel Deployment to ProductionML Model Registry ManagementReproducible ML WorkflowsA/B Testing ML ModelsModel Performance MonitoringCollaborative ML DevelopmentMulti-framework Model ManagementLLM Application Lifecycle ManagementAI Agent Debugging and Evaluation

Recent Activity

Updated 2 months ago

7 Days

136

30 Days

638

90 Days

2762

Fix conversation simulator default model encoding on Databricks (#21644)

Samraj Moorjani • Mar 13, 2026

3d7d3fc

Refactor GatewayBudgetPolicy to use nested BudgetDuration (#21653)

TomuHirata • Mar 13, 2026

0ba12a3

Update Docker Actions from Node 16 to Node 24 in `push-images.yml` (#21672)

Copilot • Mar 13, 2026

dd9e862

Quality

production
Quality
high
Maturity
production

Categories

MLOps & InfrastructurePrimaryRAG & RetrievalEvals & BenchmarkingObservability & MonitoringInference & ServingCloud & PlatformsLearning ResourcesFoundation ModelsAI AgentsML Platform & InfrastructureData Science & AnalyticsSearch & KnowledgeOther AI / ML

PM Skills

Scale & ReliabilityData & EvaluationAI-Native Architecture

Languages

Python100.0%

Timeline

Project created
Jun 5, 2018
Forked
Mar 13, 2026
Your last push
2 months ago
Upstream last push
16 days ago
Tracked since
Mar 13, 2026

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