MLOps Workflow Orchestration ML Frameworks
End-to-end MLOps pipeline frameworks and tools for automating ML workflows, model training, deployment, and monitoring in production. Does NOT include individual orchestration tools (like Airflow or Argo) standalone, general workflow automation, or task scheduling without ML-specific components.
There are 53 mlops workflow orchestration frameworks tracked. 2 score above 50 (established tier). The highest-rated is mrdbourke/cs329s-ml-deployment-tutorial at 51/100 with 616 stars.
Get all 53 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial. |
|
Established |
| 2 |
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications. |
|
Established |
| 3 |
ThinamXx/MLOps
The repository contains a list of projects which I will work on while... |
|
Emerging |
| 4 |
mattborghi/mlops-specialization
Machine Learning Engineering for Production (MLOps) Coursera Specialization |
|
Emerging |
| 5 |
awslabs/mlmax
Example templates for the delivery of custom ML solutions to production so... |
|
Emerging |
| 6 |
The-AI-Summer/Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML... |
|
Emerging |
| 7 |
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization... |
|
Emerging |
| 8 |
clemens33/mlflow
mlflow container setup for docker, docker compose and kubernetes including helm chart |
|
Emerging |
| 9 |
johnmoses/coursera-mlops-specialization
Coursera Machine Learning Engineering for Production Specialization Course |
|
Emerging |
| 10 |
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to... |
|
Emerging |
| 11 |
google-github-actions/run-vertexai-notebook
A GitHub Action for running a Google Cloud Vertex AI notebook. |
|
Emerging |
| 12 |
IDSIA/MLprod
Machine Learning in Production |
|
Emerging |
| 13 |
kingabzpro/Automating-Machine-Learning-Testing
Automating Machine Learning Testing using GitHub Actions and DeepChecks |
|
Emerging |
| 14 |
bentoml/gallery
BentoML Example Projects 🎨 |
|
Emerging |
| 15 |
fuzzylabs/vertex-edge
A tool for training models to Vertex on Google Cloud Platform. |
|
Emerging |
| 16 |
abdala9512/dsrp-machine-learning-engineering-4
Curso MLOps 2025 - DSRP |
|
Emerging |
| 17 |
ekote/Build-Your-First-End-to-End-Lakehouse-Solution
Big Data CONFERENCE Europe 2025 🇱🇹 AI, Cloud and Data Conference - Build... |
|
Emerging |
| 18 |
Koldim2001/MLflow_tracking
Использование MLflow для трекинга экспериментов PyTorch и Sklearn |
|
Emerging |
| 19 |
aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon... |
|
Emerging |
| 20 |
codecentric-oss/niceml
niceML 🍦 is a Python-based MLOps framework designed to streamline the... |
|
Emerging |
| 21 |
IBM/multi-data-lineage-capture-py
IBM Multi-Lineage Data System |
|
Emerging |
| 22 |
jesussantana/DeepLearning.AI-Introduction-to-Machine-Learning-in-Production
In the first course of Machine Learning Engineering for Production... |
|
Emerging |
| 23 |
MarinaWyss/are-you-a-cat
An MLOps Project for the ZenML Month of MLOps Competition |
|
Emerging |
| 24 |
AHaryanto/azure-automl-mlops
Get started with Automated Machine Learning (AutoML) and Machine Learning... |
|
Emerging |
| 25 |
prakharrathi25/mlops-specialization-coursera
Machine Learning for Production Specialization |
|
Emerging |
| 26 |
lsjsj92/airflow_tutorial
python airflow tutorial and example |
|
Experimental |
| 27 |
praatibhsurana/Machine-Learning-Engineering-for-Production
A repository for the Machine Learning Engineering for Production... |
|
Experimental |
| 28 |
mxagar/mlops_udacity
These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer. |
|
Experimental |
| 29 |
starostka/02476-mlops
Project work in 02476 Machine Learning Operations at the Technical... |
|
Experimental |
| 30 |
mxagar/mlflow_guide
My personal notes on how to use MLflow, compiled after following courses &... |
|
Experimental |
| 31 |
silverstar0727/ML-Pipeline-Tutorial
TFX와 Kubeflow를 공부한 것을 바탕으로 제작한 튜토리얼입니다. |
|
Experimental |
| 32 |
tezansahu/dvc-pycaret-fastapi-demo
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours... |
|
Experimental |
| 33 |
Anri-Lombard/MLOps-Specialization
Concept Explanations for Machine Learning Engineering for Production (MLOps)... |
|
Experimental |
| 34 |
aasimsani/meow-learning
This is a pick-your-problem style guide I created to educate everyone from... |
|
Experimental |
| 35 |
AUTH-MINT/MLOpen
A web platform to upload, train and run machine learning pipelines. |
|
Experimental |
| 36 |
5had3z/konductor
[WIP] ML Training Framework |
|
Experimental |
| 37 |
404Avinash/stellar
End-to-end ML pipeline with EDA, model training, and full-stack deployment -... |
|
Experimental |
| 38 |
sillysticky/DeepGuard-MLOps-Pipeline
👁️ Detect deepfake human faces with this end-to-end MLOps pipeline featuring... |
|
Experimental |
| 39 |
Deffro/end-to-end-ML-project
An end-to-end ML Project |
|
Experimental |
| 40 |
fabioba/mlops-architecture
This is an overview of a MLOps architecture that includes both Airflow and... |
|
Experimental |
| 41 |
AlexIoannides/bodywork-mlops-demo
Demonstrating how Bodywork can be used to deploy a simulation of the... |
|
Experimental |
| 42 |
korkridake/MLOps-GHA-Azure
Boilerplate data science, Azure ML project from model development to... |
|
Experimental |
| 43 |
data-pioneer/MLops-Industry-Safety-Detection-using-Yolov7
Implementation of Mlops pipeline for Object Detection with customization of... |
|
Experimental |
| 44 |
PierreExeter/MLOps-Pipeline-Deployment
A deployed machine learning model that predicts patient medical charges... |
|
Experimental |
| 45 |
nishnarudkar/Interpretable-Machine-Learning-System-for-Parkinson-s-Disease-Detection-from-Speech-Biomarkers
An end-to-end MLOps pipeline for detecting Parkinson's disease using speech... |
|
Experimental |
| 46 |
DanielPopoola/autorma
An end-to-end machine learning system for automated classification of... |
|
Experimental |
| 47 |
carlolodi/airflow-demo
🚀 Explore Apache Airflow in this beginner-friendly demo. Understand workflow... |
|
Experimental |
| 48 |
Saillut5/mlops-cicd-template
A comprehensive CI/CD template for MLOps workflows using GitHub Actions,... |
|
Experimental |
| 49 |
tanyaagrawal256/nutrition-mlops
End-to-end MLOps Nutrition Recommendation System using FastAPI, Docker,... |
|
Experimental |
| 50 |
Thableaddles57/mlops-pipeline
Automated CI/CD pipelines for machine learning models using Kubernetes and Kubeflow. |
|
Experimental |
| 51 |
qrizan/mlops-lifecycle-with-regression
End-to-end machine learning ( regression ) lifecycle demo with MLflow,... |
|
Experimental |
| 52 |
0Upjh80d/mlops-project-template
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy... |
|
Experimental |
| 53 |
J0hn-B/hera_argo
Hera is a Python framework for constructing and submitting Argo Workflows. |
|
Experimental |