Open source inference projects
Every project in the registry tagged inference, ranked by real GitHub adoption.
A high-throughput and memory-efficient inference and serving engine for LLMs
A framework for efficient model inference with omni-modality models
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
TypeDB: Built for systems, not records
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
GPU orchestration across clouds, Kubernetes, and on-prem
Route GenAI traffic with confidence using open source
Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™
Unified API for all LLM providers with analytics
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
Pure Rust + CUDA LLM inference engine — no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Related tags
Frequently asked questions
How many open source inference projects are there?
This registry tracks 11 projects tagged inference, with 122,408 GitHub stars between them. The most-adopted is vllm at 92,028 stars.
Are these inference projects free to use?
Yes — 10 of the 11 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which inference project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these inference projects still maintained?
11 of the 11 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.