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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

Posit builds tools that help data scientists work more efficiently, collaborate seamlessly, and share insights securely across their organizations. Its Positron code editor provides the speed of an interactive console combined with the power to build, debug, and deploy data-science workflows in Python and R. Posit’s platform enables teams to scale open-source data science, offering enterprise-ready capabilities for publishing, sharing, and operationalizing applications. Companies rely on Posit’s secure infrastructure to host Shiny apps, dashboards, APIs, and analytical reports with confidence. Whether using open-source packages or cloud-based solutions, Posit supports reproducible, high-quality work at every stage of the data lifecycle. Trusted by millions of users—and more than half of the Fortune 100—Posit empowers professionals across industries to innovate with data.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

Audience

Posit is ideal for data scientists, analysts, and enterprise teams seeking powerful, open-source-driven tools for coding, collaboration, and secure data-science deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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:

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Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • Powerful statistical tools. Good quality customisable plots, all different types using all different data and models. Easy to import from csv and there's plenty of datasets around if you go looking. Easy to create and export graphs. Being able to quickly and easily visualise (and share) data is more useful than I could have imagined. All the "academic" data online is suddenly easy to use. I haven't even scratched the surface of community created packages, but they're easy to install, not always so easy to use.

Cons

  • You can get unhelpful syntax error messages. The basics work well but sometimes just changing something (eg colours) in specialised plots feels like a hard programming puzzle. It's mostly straight-forward like "plot(data)", but the commands are written in a programming language and get tricky depending on your needs.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Company Information

Posit
Founded: 2009
United States
posit.co

Alternatives

Union Cloud

Union Cloud

Union.ai

Alternatives

Jupyter Notebook

Jupyter Notebook

Project Jupyter
Analance

Analance

Ducen
DVC

DVC

iterative.ai

Categories

Categories

Integrations

Apache Spark
Axolotl
Azure Machine Learning
Azure Marketplace
Coginiti
CrateDB
Determined AI
Google Cloud Platform
IBM watsonx.data integration
Jozu
Kubernetes
Microsoft 365
Modulos AI Governance Platform
RStudio
TensorFlow
Unity Catalog
Vectice
ZenML
conDati

Integrations

Apache Spark
Axolotl
Azure Machine Learning
Azure Marketplace
Coginiti
CrateDB
Determined AI
Google Cloud Platform
IBM watsonx.data integration
Jozu
Kubernetes
Microsoft 365
Modulos AI Governance Platform
RStudio
TensorFlow
Unity Catalog
Vectice
ZenML
conDati
Claim MLflow and update features and information
Claim MLflow and update features and information
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Claim Posit and update features and information