MLflow vs. navio Comparison


MLflow	navio craftworks GmbH	+	+
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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.	About Seamless machine learning model management, deployment, and monitoring for supercharging MLOps for any organization on the best AI platform. Use navio to perform various machine learning operations across an organization's entire artificial intelligence landscape. Take your experiments out of the lab and into production, and integrate machine learning into your workflow for a real, measurable business impact. navio provides various Machine Learning operations (MLOps) to support you during the model development process all the way to running your model in production. Automatically create REST endpoints and keep track of the machines or clients that are interacting with your model. Focus on exploration and training your models to obtain the best possible result and stop wasting time and resources on setting up infrastructure and other peripheral features. Let navio handle all aspects of the product ionization process to go live quickly with your machine learning models.
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	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies looking for an open source platform solution for the machine learning lifecycle	Audience Organizations seeking a solution to improve their model management, deployment and monitoring operations
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not 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 Supported In Person Supported
Company Information MLflow Founded: 2018 United States mlflow.org	Company Information craftworks GmbH Austria www.craftworks.ai/navio
Alternatives Union Cloud Union.ai	Alternatives Azure Machine Learning Microsoft
Amazon SageMaker Amazon	JFrog ML JFrog
ClearML	Amazon SageMaker Amazon
Gemini Enterprise Agent Platform Google	RunLve
DVC iterative.ai View All	neptune.ai View All
Categories AI Gateways Supported LLM Evaluation Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Categories Artificial Intelligence Supported Machine Learning Supported ML Model Management Supported

Integrations TensorFlow Supported Apache Spark Supported Axolotl Supported Azure Machine Learning Supported Comet LLM Supported Cranium Supported Determined AI Supported Google Cloud Platform Supported IBM watsonx.data integration Supported Jozu Supported Kedro Supported LiteLLM Supported Ludwig Supported MLflow Not Supported Microsoft 365 Supported Superwise Supported Vectice Supported conDati Supported lakeFS Supported neptune.ai Supported Show More Integrations View All 47 Integrations	Integrations TensorFlow Supported Apache Spark Not Supported Axolotl Not Supported Azure Machine Learning Not Supported Comet LLM Not Supported Cranium Not Supported Determined AI Not Supported Google Cloud Platform Not Supported IBM watsonx.data integration Not Supported Jozu Not Supported Kedro Not Supported LiteLLM Not Supported Ludwig Not Supported MLflow Supported Microsoft 365 Not Supported Superwise Not Supported Vectice Not Supported conDati Not Supported lakeFS Not Supported neptune.ai Not Supported Show More Integrations View All 4 Integrations
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