MLflow vs. Seldon Comparison


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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 Deploy machine learning models at scale with more accuracy. Turn R&D into ROI with more models into production at scale, faster, with increased accuracy. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Deploy reduces the time to production by providing production grade inference servers optimized for popular ML framework or custom language wrappers to fit your use cases. Seldon Core Enterprise provides access to cutting-edge, globally tested and trusted open source MLOps software with the reassurance of enterprise-level support. Seldon Core Enterprise is for organizations requiring: - Coverage across any number of ML models deployed plus unlimited users - Additional assurances for models in staging and production - Confidence that their ML model deployments are supported and protected.
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 Not 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 MLOps teams that want to deploy machine learning models at scale with more accuracy
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 Supported	API Offers API Not 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 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 MLflow Founded: 2018 United States mlflow.org	Company Information Seldon Technologies Founded: 2014 United Kingdom www.seldon.io
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Amazon SageMaker Amazon	Datatron
ClearML	KServe
Gemini Enterprise Agent Platform Google	NVIDIA Triton Inference Server NVIDIA
DVC iterative.ai View All	Gemini Enterprise Agent Platform Google 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 AI Inference Supported Artificial Intelligence Supported Machine Learning Supported ML Model Deployment Supported

Integrations Apolo Supported Determined AI Supported ZenML Supported Azure Marketplace Supported Feast Not Supported HoneyHive Supported Jozu Supported Keras Supported Ludwig Supported Microsoft 365 Supported Modulos AI Governance Platform Supported OpenMetadata Supported RapidSOS Supported Tecton Not Supported TrueFoundry Supported Union Cloud Supported Unity Catalog Supported conDati Supported neptune.ai Supported Show More Integrations View All 47 Integrations	Integrations Apolo Supported Determined AI Supported ZenML Supported Azure Marketplace Not Supported Feast Supported HoneyHive Not Supported Jozu Not Supported Keras Not Supported Ludwig Not Supported Microsoft 365 Not Supported Modulos AI Governance Platform Not Supported OpenMetadata Not Supported RapidSOS Not Supported Tecton Supported TrueFoundry Not Supported Union Cloud Not Supported Unity Catalog Not Supported conDati Not Supported neptune.ai Not Supported Show More Integrations View All 6 Integrations
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