mlop server

This is the collection of services that allow any individual to self-host their own instance of the mlop server. It can be used to store, analyze, visualize, and share any data recorded by the latest mlop clients or other platforms. It's super easy to get started and we welcome you to try it yourself! All you need is a containerized environment and a minute to spare.

For a managed instance with better scalability, stability and support, please visit mlop.ai or contact us at founders@mlop.ai.

🚀 Getting Started

git clone --recurse-submodules https://github.com/mlop-ai/server.git && cd server
cp .env.example .env
sudo docker-compose up --build

The web server will be available at http://localhost:3000. To use this self-hosted server with the mlop client, simply initialize the client with

mlop.login(settings={"host": "localhost"})
mlop.init(settings={"host": "localhost"})

📲 What's Inside?

• custom frontend and backend hosted on port 3000 and port 3001
• a Rust server for high-performance data ingestion on port 3003
• a Python server for general-purpose health monitoring on port 3004
• an S3-compatible storage server on port 9000
• a ClickHouse database on port 9000 (not exposed to host by default)
• a PostgreSQL database on port 5432 (not exposed to host by default)

📦 Moving Servers

All data are wholly controlled by the user, and locally mapped to directories on the host by default. When you need to migrate the server to a different host, simply make sure you take the .mlop folder and .env file with you.

🤝 Contributing

We welcome any contributions to the project! Please feel free to submit any code, docs, feedback, or examples.