BentoML
bentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 7
bentoml
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Michael-A-Kuykendall
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
yinwang0
PySonar2: a semantic indexer for Python with interprocedual type inference
Lightning-AI
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
open-compress
14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.
Aperivue
Claude Code skills for medical research — literature search, reporting guidelines, statistical analysis, publication figures. Built by a physician-researcher, tested on…