Streamline AI Development with MLflow
Build and manage AI-powered workflows using the open-source AI engineering platform for agents, LLMs, and ML models.
"A founder, Alex, is building a new AI-powered customer support chatbot. She sets up MLflow to track the model's performance, identifies areas for improvement, and optimizes the model's accuracy. As a result, Alex increases chatbot satisfaction ratings by 20% in just a few days."
- •When you need to manage and optimize multiple machine learning models in a production environment
- •When you want to track and compare the performance of different AI models and experiments
- •When you need to control access to sensitive data and models in your AI application
mlflow run examples/sklearn_logistic_regression -P alpha=0.1 -P l1_ratio=0.5
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/mlflow && curl -fsSL https://workflowstacks.com/api/skills/mlflow/claude-skill -o ~/.claude/skills/mlflow/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Streamline AI Development with MLflow is a very large Python project (~844k lines across 4601 code files, plus 1283 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3bin/.gitignoreWhere the program starts running
- 4mlflow/__init__.pyInside mlflow/ — the main logic begins here
- 5examples/README.mdA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/mlflow && curl -fsSL https://workflowstacks.com/api/skills/mlflow/claude-skill -o ~/.claude/skills/mlflow/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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