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 124 mlops workflow orchestration frameworks tracked. 2 score above 50 (established tier). The highest-rated is crate/mlflow-cratedb at 51/100 with 1 stars and 1,330 monthly downloads.
Get all 124 projects as JSON
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Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
crate/mlflow-cratedb
MLflow adapter for CrateDB. |
|
Established |
| 2 |
GokuMohandas/mlops-course
Learn how to design, develop, deploy and iterate on production-grade ML applications. |
|
Established |
| 3 |
mrdbourke/cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial. |
|
Emerging |
| 4 |
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to... |
|
Emerging |
| 5 |
clemens33/mlflow
mlflow container setup for docker, docker compose and kubernetes including helm chart |
|
Emerging |
| 6 |
ThinamXx/MLOps
The repository contains a list of projects which I will work on while... |
|
Emerging |
| 7 |
awslabs/mlmax
Example templates for the delivery of custom ML solutions to production so... |
|
Emerging |
| 8 |
mattborghi/mlops-specialization
Machine Learning Engineering for Production (MLOps) Coursera Specialization |
|
Emerging |
| 9 |
codecentric-oss/niceml
niceML 🍦 is a Python-based MLOps framework designed to streamline the... |
|
Emerging |
| 10 |
abdala9512/dsrp-machine-learning-engineering-4
Curso MLOps 2025 - DSRP |
|
Emerging |
| 11 |
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization... |
|
Emerging |
| 12 |
The-AI-Summer/Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML... |
|
Emerging |
| 13 |
johnmoses/coursera-mlops-specialization
Coursera Machine Learning Engineering for Production Specialization Course |
|
Emerging |
| 14 |
google-github-actions/run-vertexai-notebook
A GitHub Action for running a Google Cloud Vertex AI notebook. |
|
Emerging |
| 15 |
fuzzylabs/vertex-edge
A tool for training models to Vertex on Google Cloud Platform. |
|
Emerging |
| 16 |
bentoml/gallery
BentoML Example Projects 🎨 |
|
Emerging |
| 17 |
IDSIA/MLprod
Machine Learning in Production |
|
Emerging |
| 18 |
kingabzpro/Automating-Machine-Learning-Testing
Automating Machine Learning Testing using GitHub Actions and DeepChecks |
|
Emerging |
| 19 |
ekote/Build-Your-First-End-to-End-Lakehouse-Solution
Big Data CONFERENCE Europe 2025 🇱🇹 AI, Cloud and Data Conference - Build... |
|
Emerging |
| 20 |
vortico/mlops-course
Course materials for MLOps, focusing on deploying and managing ML systems in... |
|
Emerging |
| 21 |
kedro-org/kedro-website
A repository for the official home of Kedro. |
|
Emerging |
| 22 |
Koldim2001/MLflow_tracking
Использование MLflow для трекинга экспериментов PyTorch и Sklearn |
|
Emerging |
| 23 |
IBM/multi-data-lineage-capture-py
IBM Multi-Lineage Data System |
|
Emerging |
| 24 |
aws-samples/amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve
Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon... |
|
Emerging |
| 25 |
g-greatdevaks/dhs-2023-mlops
A repository containing workshop material used during DataHack Summit 2023,... |
|
Experimental |
| 26 |
jesussantana/DeepLearning.AI-Introduction-to-Machine-Learning-in-Production
In the first course of Machine Learning Engineering for Production... |
|
Experimental |
| 27 |
bodywork-ml/bodywork-mlflow
Deploy MLflow to Kubernetes using Bodywork |
|
Experimental |
| 28 |
Sharif-Smart-and-Secure-Edge-Cloud-Lab/edge-mlops
Edge MLOps tools and pipeline test |
|
Experimental |
| 29 |
MarinaWyss/are-you-a-cat
An MLOps Project for the ZenML Month of MLOps Competition |
|
Experimental |
| 30 |
AHaryanto/azure-automl-mlops
Get started with Automated Machine Learning (AutoML) and Machine Learning... |
|
Experimental |
| 31 |
5had3z/konductor
[WIP] ML Training Framework |
|
Experimental |
| 32 |
caiomsouza/aml-cli-v2-in-a-day
Azure Machine Learning CLI V2 in a Day Workshop/Labs. |
|
Experimental |
| 33 |
mjglatzmaier/mlpipe
A lightweight, DAG-based pipeline framework for ML workflows with YAML... |
|
Experimental |
| 34 |
A-Kuo/Multi-Source-Clinical-Data-Engineering-Platform
End-to-end data engineering and ML platform: multi-source ETL, anomaly... |
|
Experimental |
| 35 |
npow/metaflow-dagster
Dagster scheduling, observability, and UI for your Metaflow pipelines |
|
Experimental |
| 36 |
prakharrathi25/mlops-specialization-coursera
Machine Learning for Production Specialization |
|
Experimental |
| 37 |
mdzaheerjk/MLOPS-Jenkins-Shared-Library-CI-CD-Project
This project showcases a professional MLOps workflow by centralizing... |
|
Experimental |
| 38 |
404Avinash/stellar
End-to-end ML pipeline with EDA, model training, and full-stack deployment -... |
|
Experimental |
| 39 |
JoshuaDs69/medicamentos-neonatos
End-to-end data project focused on neonatal medication analysis, covering... |
|
Experimental |
| 40 |
Revprm/MLOps-Template
An MLOps template for building scalable and reproducible machine learning... |
|
Experimental |
| 41 |
galafis/mlops-production-pipeline
Mlops Production Pipeline - Professional Python project |
|
Experimental |
| 42 |
ankit-kumarz/End-To-End-MLops-Pipeline
A production-ready MLOps pipeline implementing industry best practices for... |
|
Experimental |
| 43 |
Develop-Packt/Introduction-to-Workflow-Management-Platform-Airflow
In this module, you will look at creating a pipeline by breaking down a job... |
|
Experimental |
| 44 |
Sebastijan-Dominis/ml-workflow-engine
A reproducible ML experimentation and model lifecycle system, specifically... |
|
Experimental |
| 45 |
galafis/mlops-model-deployment-platform
ML model lifecycle platform - registration, versioning, deployment... |
|
Experimental |
| 46 |
Codex56799/dataengineering
🚀 Build a containerized data engineering workflow for NYC Yellow Taxi Trip... |
|
Experimental |
| 47 |
starostka/02476-mlops
Project work in 02476 Machine Learning Operations at the Technical... |
|
Experimental |
| 48 |
Israelgladys/lobster-workflows
🦞 Streamline your project automation with Lobster Workflows, a flexible... |
|
Experimental |
| 49 |
Eation5/Scalable-MLOps-Platform
A comprehensive MLOps platform built with Scala and Apache Spark for... |
|
Experimental |
| 50 |
Raghul-M/MLOps_Learning_Notes
MaLOps learning concepts, tools, and practice notes |
|
Experimental |
| 51 |
sillysticky/DeepGuard-MLOps-Pipeline
👁️ Detect deepfake human faces with this end-to-end MLOps pipeline featuring... |
|
Experimental |
| 52 |
Shubham-S151/End-to-End-MLOps-Platform
End-to-End MLOps platform for building, tracking, and deploying machine... |
|
Experimental |
| 53 |
bnarasimha21/paperspace-workflow-poc
Proof of concept for ML workflows on Paperspace GPU infrastructure |
|
Experimental |
| 54 |
gituser2610/MLOPS-Pipeline-Dashboard
MLOPS-Pipeline-Dashboard offers a straightforward way for users to manage... |
|
Experimental |
| 55 |
lsjsj92/airflow_tutorial
python airflow tutorial and example |
|
Experimental |
| 56 |
rexcoleman/govML
Stop losing ML experiments. 42 templates, 19 generators, contract-driven... |
|
Experimental |
| 57 |
AUTH-MINT/MLOpen
A web platform to upload, train and run machine learning pipelines. |
|
Experimental |
| 58 |
npow/metaflow-prefect
Prefect scheduling, deployments, and UI for your Metaflow pipelines |
|
Experimental |
| 59 |
npow/metaflow-flyte
Schedule and monitor your Metaflow pipelines through Flyte without rewriting them |
|
Experimental |
| 60 |
Shubham-S151/End-to-End-MLOps-Pipeline
End-to-End MLOps platform for building, tracking, and deploying machine... |
|
Experimental |
| 61 |
altafpinjari2001/ml-end-to-end-pipeline
Production ML pipeline from EDA to deployment with MLflow tracking, FastAPI... |
|
Experimental |
| 62 |
d-rybakov/ml-delivery-framework
Artifact-driven ML delivery framework based on CRISP-DM for structured and... |
|
Experimental |
| 63 |
jagadeshchilla/MLOPS
This is self study about the MLOPS |
|
Experimental |
| 64 |
mxagar/mlops_udacity
These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer. |
|
Experimental |
| 65 |
praatibhsurana/Machine-Learning-Engineering-for-Production
A repository for the Machine Learning Engineering for Production... |
|
Experimental |
| 66 |
korkridake/MLOps-GHA-Azure
Boilerplate data science, Azure ML project from model development to... |
|
Experimental |
| 67 |
aasimsani/meow-learning
This is a pick-your-problem style guide I created to educate everyone from... |
|
Experimental |
| 68 |
elwhyjay/MLops-Study
MLops study |
|
Experimental |
| 69 |
tezansahu/dvc-pycaret-fastapi-demo
Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours... |
|
Experimental |
| 70 |
Anri-Lombard/MLOps-Specialization
Concept Explanations for Machine Learning Engineering for Production (MLOps)... |
|
Experimental |
| 71 |
Deffro/end-to-end-ML-project
An end-to-end ML Project |
|
Experimental |
| 72 |
mxagar/mlflow_guide
My personal notes on how to use MLflow, compiled after following courses &... |
|
Experimental |
| 73 |
silverstar0727/ML-Pipeline-Tutorial
TFX와 Kubeflow를 공부한 것을 바탕으로 제작한 튜토리얼입니다. |
|
Experimental |
| 74 |
krik8235/ml-data-pipeline
Data pipeline integration on Lakehouse architecture using Spark and Airflow DAGs |
|
Experimental |
| 75 |
imchandanmohan/kubeflow-mlops-kubernetes-pipeline
End-to-end MLOps project for colorectal cancer survival prediction using... |
|
Experimental |
| 76 |
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 |
| 77 |
sfarrukhm/mlops-tutorials
Your go-to collection of beginner-friendly tutorials and practical examples... |
|
Experimental |
| 78 |
epomatti/az-machinelearning-cm-vnet
Azure ML with customer-managed VNET |
|
Experimental |
| 79 |
ahmedsaleh99/MLOpsTemplate
This is a template that can be used with machine learning professional... |
|
Experimental |
| 80 |
abhi227070/ML-Model-Deployment-in-AWS
This project deploys a diabetes prediction model on AWS using MLOps... |
|
Experimental |
| 81 |
fabioba/mlops-architecture
This is an overview of a MLOps architecture that includes both Airflow and... |
|
Experimental |
| 82 |
bhushanpatil-ai-ml/ml-model-deployment-platform
ML Model Deployment Platform End-to-end ML pipeline with MLflow, FastAPI,... |
|
Experimental |
| 83 |
PierreExeter/MLOps-Pipeline-Deployment
A deployed machine learning model that predicts patient medical charges... |
|
Experimental |
| 84 |
Hetav01/minimlops-aws-mlflow
Production-style, event-driven MLOps platform on AWS (MLflow + SageMaker +... |
|
Experimental |
| 85 |
Thableaddles57/mlops-pipeline
Automated CI/CD pipelines for machine learning models using Kubernetes and Kubeflow. |
|
Experimental |
| 86 |
Crosshairs532/career-switch-ML
End-to-End MLOps project — predicts whether a professional will switch... |
|
Experimental |
| 87 |
Devanik21/ML-deployment-crops
End-to-end crop prediction ML deployment — joblib-serialised... |
|
Experimental |
| 88 |
musabinabdullah5678/de_project
Build a unified sales data pipeline that integrates multiple sources into a... |
|
Experimental |
| 89 |
princeappiah181/outbreak-severity-mlops
End-to-end ML system for predicting disease outbreak severity using NLP and... |
|
Experimental |
| 90 |
carlolodi/airflow-demo
🚀 Explore Apache Airflow in this beginner-friendly demo. Understand workflow... |
|
Experimental |
| 91 |
Abiijutt007/airflow-mlflow-pipeline
🚀 Build a production-grade ML pipeline with Airflow and MLflow, covering... |
|
Experimental |
| 92 |
vinodbavage31/MachineLearning-Workflow-system
Production-ready ML pipeline template with modular architecture, MLflow... |
|
Experimental |
| 93 |
elarsaks/gha_ml_pipeline
End to End Machine Learning System in GitHub Actions |
|
Experimental |
| 94 |
Fredrick-coder593/pixaroma-workflows
Provide ready-to-use ComfyUI workflows from the Pixaroma YouTube channel for... |
|
Experimental |
| 95 |
DanielPopoola/autorma
An end-to-end machine learning system for automated classification of... |
|
Experimental |
| 96 |
Madid1976/mlops-pipeline-template
A robust MLOps pipeline template for continuous integration, delivery, and... |
|
Experimental |
| 97 |
Saillut5/mlops-cicd-template
A comprehensive CI/CD template for MLOps workflows using GitHub Actions,... |
|
Experimental |
| 98 |
Eklavya20/ml-production-template
Production ready ML template. Prefect training pipeline and MLflow... |
|
Experimental |
| 99 |
Fident58/MLOps-Pipelines
Automated MLOps pipelines for model training, deployment, and monitoring... |
|
Experimental |
| 100 |
Enten1992/MLOps-Pipeline-Template
A production-ready MLOps pipeline template demonstrating best practices for... |
|
Experimental |
| 101 |
tanyaagrawal256/nutrition-mlops
End-to-end MLOps Nutrition Recommendation System using FastAPI, Docker,... |
|
Experimental |
| 102 |
ThGoncal/mlops-template
"Production-ready MLOps project template" |
|
Experimental |
| 103 |
stojce/cognistream
An intelligent streaming analytics platform that uses AWS Bedrock to process... |
|
Experimental |
| 104 |
Veasna-17/MLOps-project-template
🚀 Build and deploy machine learning models with this MLOps project template,... |
|
Experimental |
| 105 |
AlexIoannides/bodywork-mlops-demo
Demonstrating how Bodywork can be used to deploy a simulation of the... |
|
Experimental |
| 106 |
AlexIoannides/pycaret-mlops
Using PyCaret with Bodywork to deploy ML pipelines to Kuberentes |
|
Experimental |
| 107 |
Andrej1A/Start-Machine-Learning
Machine Learning plug-and-play script collection. |
|
Experimental |
| 108 |
sebiwtt/Delta
MLOps for online machine learning using Docker and Python |
|
Experimental |
| 109 |
msmenegol/datapark
Datapark: a self-hosted data platform |
|
Experimental |
| 110 |
LazaUK/AzureML-FeatureStore-CLI
Tutorial on setup of online and offline feature stores in Azure Machine... |
|
Experimental |
| 111 |
data-pioneer/MLops-Industry-Safety-Detection-using-Yolov7
Implementation of Mlops pipeline for Object Detection with customization of... |
|
Experimental |
| 112 |
brnaguiar/mlops-next-watch
MLOps project that recommends movies to watch implementing Data Engineering... |
|
Experimental |
| 113 |
Krishnasali/End-to-End-ML-Pipeline-MLOps-Style-
ᴇɴᴅ-ᴛᴏ-ᴇɴᴅ ᴍʟ ᴘɪᴘᴇʟɪɴᴇ - ᴍʟᴏᴘꜱ ꜱᴛʏʟᴇ ᴅᴇᴠᴇʟᴏᴘᴇᴅ ᴀ ᴄᴏᴍᴘʟᴇᴛᴇ ᴍᴀᴄʜɪɴᴇ ʟᴇᴀʀɴɪɴɢ... |
|
Experimental |
| 114 |
Richard-Selvaraj-99/Azure-ML-Deployment
This project involves building a machine learning model to predict air... |
|
Experimental |
| 115 |
RohitDusane/MLOps-DVC-Git-Actions
This repository contains a complete CI/CD pipeline for deploying machine... |
|
Experimental |
| 116 |
SainathPattipati/github-actions-ml-pipeline
CI/CD pipeline templates for ML model training, evaluation, and deployment... |
|
Experimental |
| 117 |
Sarthak-G0yal/MLDeployLab
Demonstrates the end-to-end workflow of building, deploying, and serving... |
|
Experimental |
| 118 |
qrizan/mlops-lifecycle-with-classification
End-to-end machine learning ( classification ) lifecycle demo with MLflow,... |
|
Experimental |
| 119 |
qrizan/mlops-lifecycle-with-regression
End-to-end machine learning ( regression ) lifecycle demo with MLflow,... |
|
Experimental |
| 120 |
michael-abdo/MLOPS-Pipeline-Dashboard
🚀 Enterprise-ready MLOps Dashboard - Simple 4-step ML pipeline for business... |
|
Experimental |
| 121 |
Aaryav1130/are-you-a-cat
An MLOps Project for the ZenML Month of MLOps Competition |
|
Experimental |
| 122 |
SamyakJain2207/Are-You-a-Cat-
"End-to-end MLOps pipeline for image classification using ZenML, MLflow, and... |
|
Experimental |
| 123 |
SavinduSenmitha/databricks
🚀 Showcase data engineering projects using Databricks, Delta Lake, and... |
|
Experimental |
| 124 |
brunoonapps/ml-core
A versatile repository for diverse machine learning workflows, including... |
|
Experimental |