tensorchord/Awesome-LLMOps resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5921 stars · 998 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated awesome-list cataloging the best LLMOps tools for developers, covering models, serving, security, training, data management, deployment, and performance. It is a reference resource of links and descriptions rather than runnable software.

Use cases

• find tools for serving large language models
• discover LLM fine-tuning and training frameworks
• compare vector search and RAG tooling options
• find LLM security and observability tools
• explore ML platforms for large-scale model deployment
• find experiment tracking and data management tools for ML

When to choose

• you want a curated overview of the LLMOps ecosystem before picking tools
• you are researching options for model serving, training, or deployment
• you need a starting point to discover MLOps and LLM tooling

When to avoid

• you need runnable software rather than a list of links
• you need in-depth tutorials or documentation for a specific tool
• you need guaranteed up-to-date or benchmarked comparisons

Facets

learning-resource · maturity active

developer-tools machine-learning llm-inference llm-training monitoring vector-database rag large-language-models machine-learning developer-tools awesome-lists cross-platform awesome-list llmops mlops curated-list ai-tools

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensorchord/Awesome-LLMOps")