MLflow vs. Prevision 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 Building a model is an iterative process that can take weeks, months, or even years, and reproducing model results, maintaining version control, and auditing past work are complex. Model building is an iterative process. Ideally, you record not only each step but also how you arrived there. A model shouldn’t be a file hidden away somewhere, but instead a tangible object that all parties can track and analyze consistently. Prevision.io allows you to record each experiment as you train it along with its characteristics, automated analyses, and versions as your project progress, whether you created it using our AutoML or your own tools. Automatically experiment with dozens of feature engineering strategies and algorithm types to build highly performant models. In a single command, the engine automatically tries out different feature engineering strategies for every type of data (e.g. tabular, text, images) to maximize the information in your datasets.
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 Developer teams and companies seeking a solution to track, record, and compare the iterations of ML experiments
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 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 Supported In Person Supported
Company Information MLflow Founded: 2018 United States mlflow.org	Company Information Prevision.io France prevision.io
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Categories AI Gateways Supported LLM Evaluation Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Categories Machine Learning Supported
	Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Not Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Supported Statistical / Mathematical Tools Supported Templates Not Supported Visualization Not Supported
Integrations Aporia Supported Azure Data Science Virtual Machines Supported Comet LLM Supported Cranium Supported CrateDB Supported Dagster Supported Determined AI Supported Docker Supported H2O.ai Supported Keras Supported Ragas Supported RapidSOS Supported Ray Supported SkyStem ART Not Supported Unity Catalog Supported Vectice Supported ZenML Supported conDati Supported lakeFS Supported Show More Integrations View All 47 Integrations	Integrations Aporia Not Supported Azure Data Science Virtual Machines Not Supported Comet LLM Not Supported Cranium Not Supported CrateDB Not Supported Dagster Not Supported Determined AI Not Supported Docker Not Supported H2O.ai Not Supported Keras Not Supported Ragas Not Supported RapidSOS Not Supported Ray Not Supported SkyStem ART Supported Unity Catalog Not Supported Vectice Not Supported ZenML Not Supported conDati Not Supported lakeFS Not Supported Show More Integrations View All 1 Integration
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