Kedro vs. MLflow Comparison


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About Kedro is the foundation for clean data science code. It borrows concepts from software engineering and applies them to machine-learning projects. A Kedro project provides scaffolding for complex data and machine-learning pipelines. You spend less time on tedious "plumbing" and focus instead on solving new problems. Kedro standardizes how data science code is created and ensures teams collaborate to solve problems easily. Make a seamless transition from development to production with exploratory code that you can transition to reproducible, maintainable, and modular experiments. A series of lightweight data connectors is used to save and load data across many different file formats and file systems.	About MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Organizations interested in a toolbox for production-ready data science	Audience Companies looking for an open source platform solution for the machine learning lifecycle
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Kedro kedro.org	Company Information MLflow Founded: 2018 United States mlflow.org
Alternatives Metaflow Netflix	Alternatives Union Cloud Union.ai
Polars	Amazon SageMaker Amazon
Cegal Prizm Cegal	ClearML
MLJAR Studio MLJAR	Azure Machine Learning Microsoft
SAS Visual Data Science Decisioning SAS View All	DVC iterative.ai View All
Categories Data Science Supported	Categories AI Gateways Supported LLM Evaluation Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported

Integrations Amazon SageMaker Supported Apache Spark Supported Azure Machine Learning Supported Docker Supported Apache Airflow Supported Apolo Not Supported Aporia Not Supported Azure Marketplace Not Supported Cranium Not Supported Gemini Enterprise Agent Platform Supported Keras Not Supported Kubeflow Supported Microsoft 365 Not Supported Python Supported UbiOps Not Supported Union Cloud Not Supported conDati Not Supported neptune.ai Not Supported Show More Integrations View All 15 Integrations	Integrations Amazon SageMaker Supported Apache Spark Supported Azure Machine Learning Supported Docker Supported Apache Airflow Not Supported Apolo Supported Aporia Supported Azure Marketplace Supported Cranium Supported Gemini Enterprise Agent Platform Not Supported Keras Supported Kubeflow Not Supported Microsoft 365 Supported Python Not Supported UbiOps Supported Union Cloud Supported conDati Supported neptune.ai Supported Show More Integrations View All 47 Integrations
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