mlflow
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
Installation
SKILL.md
Users: 20,000+ organizations | GitHub Stars: 23k+ | License: Apache 2.0
Experiment: Logical container for related runs Run: Single execution of ML code (parameters, metrics, artifacts)
Automatically log metrics, parameters, and models for popular frameworks.
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform Source: ovachiever/droid-tings.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ovachiever/droid-tings --skill mlflow- Source
- ovachiever/droid-tings
- Category
- </>Dev Tools
- Verified
- —
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is mlflow?
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform Source: ovachiever/droid-tings.
How do I install mlflow?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill mlflow Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/ovachiever/droid-tings
Details
- Category
- </>Dev Tools
- Source
- user
- First Seen
- 2026-02-01