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#model-serving

Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.

13 records
Tagged “model-serving”Ranked by health index
PyPI · crates.io
99Exceptionalhealth index
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Python★ 91.9K↓ 2.9M/moSep 16, 2026
Apache-2.0Sep 16, 2026 · metrics 2.10.0
PyPI · crates.io
98Exceptionalhealth index
basetenlabs/truss
The simplest way to serve AI/ML models in production
Python · Rust★ 1,195↓ 966.4K/moAug 27, 2026
MITAug 27, 2026 · metrics 2.10.0
Go · PyPI
98Exceptionalhealth index
kserve/kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Go · Python★ 5,956Sep 18, 2026
Apache-2.0Sep 18, 2026 · metrics 2.10.0
PyPI
97Exceptionalhealth index
vllm-project/vllm-ascend
Community maintained hardware plugin for vLLM on Huawei Ascend
Python · C++★ 2,933Oct 9, 2026
Apache-2.0Oct 9, 2026 · metrics 2.10.0
PyPI
96Exceptionalhealth index
bentoml/BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Python★ 8,847↓ 256.2K/moSep 17, 2026
Apache-2.0Sep 17, 2026 · metrics 2.10.0
PyPI
96Exceptionalhealth index
mlrun/mlrun
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Python★ 1,695Sep 15, 2026
Apache-2.0Sep 15, 2026 · metrics 2.10.0
PyPI
94Exceptionalhealth index
sgl-project/sglang-omni
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
Python★ 1,289↓ 3,737/moSep 28, 2026
Apache-2.0Sep 28, 2026 · metrics 2.10.0
Go · npm
88Excellenthealth index
ome-projects/ome
Open Model Engine (OME) — Kubernetes operator for LLM serving, GPU scheduling, and model lifecycle management. Works with SGLang, vLLM, TensorRT-LLM, and Triton
Go★ 508Sep 12, 2026
Apache-2.0Sep 12, 2026 · metrics 2.10.0
PyPI
81Excellenthealth index
Tejas-TA/predikit
The missing bridge between your ML models and your AI agents.
Python★ 400↓ 41.3K/moSep 15, 2026
MITSep 15, 2026 · metrics 2.10.0
PyPI
67Goodhealth index
pjordanandrsn/grouped-nf4-gemm
Triton kernels for 4-bit MoE inference: grouped NF4/MXFP4 GEMM, INT4 GEMV, FP8 paged attention, and CPU/NVMe expert streaming.
Python★ 2↓ 3,717/moSep 24, 2026
MITSep 24, 2026 · metrics 2.10.0
PyPI · npm · Maven
62Moderatehealth index
hpnkv/a11
A streaming action runtime for AI agents, model serving, and multimodal APIs
C++ · Python · TypeScript★ 11↓ 11.7K/moOct 21, 2026
Apache-2.0Oct 21, 2026 · metrics 2.10.0
PyPI
51Moderatehealth index
AI-Hypercomputer/JetStream
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
Python★ 457Sep 10, 2026
Apache-2.0Sep 10, 2026 · metrics 2.10.0
PyPI
19Criticalhealth index
Lightning-Universe/stable-diffusion-deploy
Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.
Python · TypeScript★ 391Sep 12, 2026
Apache-2.0Sep 12, 2026 · metrics 2.10.0