This repository is a curated list of LLMOps tools for developers, covering a wide spectrum of the machine learning lifecycle. It aims to provide a comprehensive overview of available resources for building, deploying, and managing large language model applications.

How It Works

The list is organized into categories such as Model Serving, Security, Observability, Data Management, Training Frameworks, and more. Each entry includes a brief description and a link to the project's repository, allowing users to quickly assess and explore relevant tools.

Quick Start & Requirements

This is a curated list, not a runnable project. Installation and usage instructions are specific to each tool listed within the repository.

Highlighted Details

• Comprehensive coverage of LLMOps tools, from foundation models to deployment and monitoring.
• Includes a wide range of categories like Serving, Security, Observability, Data Management, and Training.
• Provides direct links to repositories for easy access to project details and code.

Maintenance & Community

This is a community-driven project. Contributions are welcome following the provided guidelines.

Licensing & Compatibility

The licensing varies per tool listed. Users must consult the individual project repositories for specific license information and compatibility.

Limitations & Caveats

As a curated list, this repository does not provide direct functionality. Users must evaluate and integrate individual tools based on their specific project needs and requirements.