Posit

Posit

5.0 out of 5 stars
MLReef Posit

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MLReef:

About

MLReef enables domain experts and data scientists to securely collaborate via a hybrid of pro-code & no-code development approaches. 75% increase in productivity due to distributed workloads. This enables teams to complete more ML projects faster. Domain experts and data scientists collaborate on the same platform reducing 100% of unnecessary communication ping-pong. MLReef works on your premises and uniquely enables 100% reproducibility and continuity. Rebuild all work at any time. You can use already well-known and established git repositories to create explorable, interoperable, and versioned AI modules. AI Modules created by your data scientists become drag-and-drop elements. These are adjustable by parameters, versioned, interoperable, and explorable within your entire organization. Data handling often requires expert knowledge that a single data scientist often lacks. MLReef enables your field experts to relieve your data processing task, reducing complexities.
Posit:

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.
MLReef:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Posit:

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
MLReef:

Audience

Domain experts and data scientists requiring a tool to collaborate via pro-code and no-code development approaches
Posit:

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
MLReef:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Posit:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
MLReef:

API

Offers API Not Supported
Posit:

API

Offers API Not Supported
MLReef:

Screenshots and Videos

Posit:

Screenshots and Videos

MLReef:

Pricing

No information available.
Free Version Supported
Free Trial Not Supported
Posit:

Pricing

No information available.
Free Version Supported
Free Trial Supported
MLReef:

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
Posit:

Reviews/Ratings

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

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.
MLReef:

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported
Posit:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported
MLReef:

Company Information

MLReef
United States
www.mlreef.com
Posit:

Company Information

Posit
Founded: 2009
United States
posit.co
MLReef:

Alternatives

Posit:

Alternatives

Minitab Statistical Software

Minitab Statistical Software

Minitab
5.0 out of 5 stars
MLReef:
Posit:
MLReef:
Posit:
Jupyter Notebook

Jupyter Notebook

Project Jupyter
5.0 out of 5 stars
MLReef:
DATAGYM

DATAGYM

eForce21
Posit:
Analance

Analance

Ducen
MLReef:
Posit:
MLReef:

Categories

Data Collaboration Supported
Machine Learning Supported
Posit:

Categories

Big Data Supported
Data Science Supported
IDE Supported
Machine Learning Supported
Package Managers Supported
MLReef:

Integrations

Coginiti Not Supported
Docker Supported
Jupyter Notebook Not Supported
Keras Supported
MXNet Supported
Positron Not Supported
PyTorch Supported
Python Not Supported
R Not Supported
RStudio Not Supported
Snowflake Cortex AI Not Supported
TensorFlow Supported
Ubuntu Supported
Visual Studio Code Not Supported
scikit-image Supported
Posit:

Integrations

Coginiti Supported
Docker Not Supported
Jupyter Notebook Supported
Keras Not Supported
MXNet Not Supported
Positron Supported
PyTorch Not Supported
Python Supported
R Supported
RStudio Supported
Snowflake Cortex AI Supported
TensorFlow Not Supported
Ubuntu Not Supported
Visual Studio Code Supported
scikit-image Not Supported
MLReef:
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Posit:
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