https://github.com/mlflow/mlflow

Open source platform for the machine learning lifecycle
https://github.com/mlflow/mlflow

ai apache-spark machine-learning ml mlflow model-management

Last synced: 7 days ago
JSON representation

Open source platform for the machine learning lifecycle

• Host: GitHub
• URL: https://github.com/mlflow/mlflow
• Owner: mlflow
• License: apache-2.0
• Created: 2018-06-05T16:05:58.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-10-29T11:37:10.000Z (6 months ago)
• Last Synced: 2024-10-29T12:13:13.508Z (6 months ago)
• Topics: ai, apache-spark, machine-learning, ml, mlflow, model-management
• Language: Python
• Homepage: https://mlflow.org
• Size: 530 MB
• Stars: 18,625
• Watchers: 303
• Forks: 4,220
• Open Issues: 1,663
• Metadata Files:
  • Readme: README.rst
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.rst
  • Security: SECURITY.md

Awesome Lists containing this project

• Awesome-LLM-Productization - MLflow - A Machine Learning Lifecycle Platform (Models and Tools / General MLOps Tools)
• awesome-platforms - Python
• my-awesome-starred - mlflow/mlflow - Open source platform for the machine learning lifecycle (Python)
• awesome-llmops - MLflow - square) | (Large Scale Deployment / ML Platforms)
• awesome-production-machine-learning - MLflow - Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. (Model and Data Versioning)
• awesome-robotic-tooling - mlflow - A platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. (Sensor Processing / Machine Learning)
• awesome-list - MLflow - A platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. (Machine Learning Framework / Experiment Management)
• Awesome-Earth-Artificial-Intelligence - mlflow - MLflow: A Machine Learning Lifecycle Platform, (Tools)
• awesome-python-applications - Repo - line application and web service, supporting an end-to-end machine-learning workflow around tracking, packaging, and deploying. Developed by [Databricks](https://docs.databricks.com/applications/mlflow/index.html). `(ai, organization, linux, mac, corp)` (<a id="tag-dev" href="#tag-dev">Dev</a> / <a id="tag-dev-other" href="#tag-dev-other">Other Dev projects</a>)
• awesome-python-applications - Repo - line application and web service, supporting an end-to-end machine-learning workflow around tracking, packaging, and deploying. Developed by [Databricks](https://docs.databricks.com/applications/mlflow/index.html). `(organization, linux, mac, corp)` (<a id="tag-dev" href="#tag-dev">Dev</a> / <a id="tag-dev-other" href="#tag-dev-other">Other Dev projects</a>)
• awesome-python-machine-learning-resources - GitHub - 33% open · ⏱️ 26.08.2022): (工作流程和实验跟踪)
• jimsghstars - mlflow/mlflow - Open source platform for the machine learning lifecycle (Python)
• pytrade.org - mlflow - Open source platform for the machine learning lifecycle (Curated List / Machine Learing Operations Tools)
• Awesome-LLMOps - MLflow - commit/mlflow/mlflow?color=green) (MLOps / MCP Client)
• Awesome-LLMOps - MLflow
• AiTreasureBox - mlflow/mlflow - 04-07_20065_12](https://img.shields.io/github/stars/mlflow/mlflow.svg)|Open source platform for the machine learning lifecycle| (Repos)
• awesome-safety-critical-ai - `mlflow/mlflow` - source platform for the ML lifecycle (<a id="tools"></a>🛠️ Tools / Model Lifecycle)
• awesome-production-machine-learning - MLflow - Open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. (Model, Data and Experiment Management)
• my-awesome - mlflow/mlflow - spark,machine-learning,ml,mlflow,model-management pushed_at:2025-04 star:20.0k fork:4.4k Open source platform for the machine learning lifecycle (Python)
• awesome-docker - mlflow/mlflow
• awesome-docker - mlflow/mlflow
• awesomeLibrary - mlflow - Open source platform for the machine learning lifecycle (语言资源库 / python)
• awesome-safety-critical-ai - `mlflow/mlflow` - source platform for the ML lifecycle (<a id="tools"></a>🛠️ Tools / Model Lifecycle)