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#model-serving

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

13 registros
Con la etiqueta «model-serving»Ordenado por índice de salud
PyPI · crates.io
99Excepcionalíndice de salud
vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Python★ 91.9K↓ 2.9M/mes16 sept 2026
Apache-2.016 sept 2026 · métricas 2.10.0
PyPI · crates.io
98Excepcionalíndice de salud
basetenlabs/truss
The simplest way to serve AI/ML models in production
Python · Rust★ 1195↓ 966.4K/mes27 ago 2026
MIT27 ago 2026 · métricas 2.10.0
Go · PyPI
98Excepcionalíndice de salud
kserve/kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Go · Python★ 595618 sept 2026
Apache-2.018 sept 2026 · métricas 2.10.0
PyPI
97Excepcionalíndice de salud
vllm-project/vllm-ascend
Community maintained hardware plugin for vLLM on Huawei Ascend
Python · C++★ 29339 oct 2026
Apache-2.09 oct 2026 · métricas 2.10.0
PyPI
96Excepcionalíndice de salud
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★ 8847↓ 256.2K/mes17 sept 2026
Apache-2.017 sept 2026 · métricas 2.10.0
PyPI
96Excepcionalíndice de salud
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★ 169515 sept 2026
Apache-2.015 sept 2026 · métricas 2.10.0
PyPI
94Excepcionalíndice de salud
sgl-project/sglang-omni
SGLang-Omni is a high-performance serving framework for audio models (TTS, ASR) and unified multimodal models.
Python★ 1289↓ 3737/mes28 sept 2026
Apache-2.028 sept 2026 · métricas 2.10.0
Go · npm
88Excelenteíndice de salud
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★ 50812 sept 2026
Apache-2.012 sept 2026 · métricas 2.10.0
PyPI
81Excelenteíndice de salud
Tejas-TA/predikit
The missing bridge between your ML models and your AI agents.
Python★ 400↓ 41.3K/mes15 sept 2026
MIT15 sept 2026 · métricas 2.10.0
PyPI
67Buenoíndice de salud
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↓ 3717/mes24 sept 2026
MIT24 sept 2026 · métricas 2.10.0
PyPI · npm · Maven
62Moderadoíndice de salud
hpnkv/a11
A streaming action runtime for AI agents, model serving, and multimodal APIs
C++ · Python · TypeScript★ 11↓ 11.7K/mes21 oct 2026
Apache-2.021 oct 2026 · métricas 2.10.0
PyPI
51Moderadoíndice de salud
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★ 45710 sept 2026
Apache-2.010 sept 2026 · métricas 2.10.0
PyPI
19Críticoíndice de salud
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★ 39112 sept 2026
Apache-2.012 sept 2026 · métricas 2.10.0