Model Inference Serving MLOps Tools

There are 35 model inference serving tools tracked. 1 score above 70 (verified tier). The highest-rated is feast-dev/feast at 84/100 with 6,793 stars. 2 of the top 10 are actively maintained.

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# Tool Score Tier
1 feast-dev/feast

The Open Source Feature Store for AI/ML

84
Verified
2 clearml/clearml-serving

ClearML - Model-Serving Orchestration and Repository Solution

67
Established
3 lakehq/sail

LakeSail's computation framework with a mission to unify batch processing,...

64
Established
4 PaddlePaddle/Serving

A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)

61
Established
5 SeldonIO/MLServer

An inference server for your machine learning models, including support for...

61
Established
6 sustainable-computing-io/kepler-model-server

Model Server for Kepler

53
Established
7 pytorch/serve

Serve, optimize and scale PyTorch models in production

51
Established
8 raptor-ml/raptor

Transform your pythonic research to an artifact that engineers can deploy easily.

48
Emerging
9 sustainable-computing-io/kepler-model-db

Repository containing up-to-date models to be used by the kepler-model-server

45
Emerging
10 tugraz-isds/systemds

An open source ML system for the end-to-end data science lifecycle

42
Emerging
11 george0st/qgate-model

ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-

40
Emerging
12 fuseml/fuseml-core

FuseML APIs and core service. This repo include the FuseML client useful to...

35
Emerging
13 Kenza-AI/kenza

Open-Source Machine Learning Platform

34
Emerging
14 bioinformatist/cml

A Framework for Production-Ready Continuous Machine Learning

33
Emerging
15 aporia-ai/inferencedb

🚀 Stream inferences of real-time ML models in production to any data lake...

31
Emerging
16 eora-ai/inferoxy

Service for quick deploying and using dockerized Computer Vision models

31
Emerging
17 gasparian/ml-serving-template

Serving large ml models independently and asynchronously via message queue...

27
Experimental
18 datamass-io/ml-kraken

Machine-Learning orchestration framework. Cloud-based models management environment.

27
Experimental
19 mmziyad/flink-ms

Serving layer for large machine learning models on Apache Flink

25
Experimental
20 puneethkotha/Falcon

Production ML inference platform. Multi-worker · Nginx load balancing ·...

22
Experimental
21 JohnJTK/crucible_train

🚀 Accelerate ML training on the BEAM with CrucibleTrain's unified...

21
Experimental
22 HighviewOne/ml-model-registry

ML Model Registry & Deployment Dashboard - AI Dev Tools Zoomcamp 2025

21
Experimental
23 gdroguski/MLServe

Docker-based Machine Learning models serving

18
Experimental
24 ameron-ai/model-serving-sidecar-service-example

A simple Python example of a Model Service that can be fronted by the Model Sidecar

17
Experimental
25 ameron-ai/model-serving-sidecar

A lightweight adapter that handles all the cross-cutting concerns for model serving

17
Experimental
26 North-Shore-AI/crucible_model_registry

ML model registry for the Crucible ecosystem. Artifact storage, model...

17
Experimental
27 North-Shore-AI/crucible_train

ML training orchestration for the Crucible ecosystem. Distributed training,...

17
Experimental
28 North-Shore-AI/crucible_feedback

ML feedback loop management for the Crucible ecosystem. Quality monitoring,...

17
Experimental
29 North-Shore-AI/crucible_deployment

ML model deployment for the Crucible ecosystem. vLLM and Ollama integration,...

17
Experimental
30 galafis/distributed-model-inference-engine

Distributed model inference engine with REST/gRPC serving, circuit breaker,...

14
Experimental
31 man4ish/omnibioai-model-registry

Production-grade model registry for the OmniBioAI ecosystem, providing...

14
Experimental
32 arthurhzna/Golang_AI_Pipeline

A scalable AI task queue and processing pipeline in Go, integrating Redis,...

13
Experimental
33 narphu/modelcache-operator

Model caching in Kubernetes

13
Experimental
34 marekgalovic/photon

ML model serving service.

12
Experimental
35 markdouthwaite/apogee-server

Probabilistic Graphical Models on Kubernetes

11
Experimental