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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.

About

Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.

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

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

Audience

Data science teams searching for a Data Science and analytics platform to do rapid exploration and predictive analytics on top of petabytes of data

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

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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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

Posit
Founded: 2009
United States
posit.co

Company Information

Zepl
Founded: 2016
United States
www.zepl.com/product/

Alternatives

Alternatives

Jupyter Notebook

Jupyter Notebook

Project Jupyter
Analance

Analance

Ducen

Categories

Categories

Integrations

Jupyter Notebook
Python
R
Amazon Redshift
Amazon S3
Apache Spark
Apache Zeppelin
Coginiti
DataOps.live
GitHub
Google Cloud BigQuery
Highcharts
JavaScript
Positron
PyTorch
SQL
Scala
Snowflake
Snowflake Cortex AI
Visual Studio Code

Integrations

Jupyter Notebook
Python
R
Amazon Redshift
Amazon S3
Apache Spark
Apache Zeppelin
Coginiti
DataOps.live
GitHub
Google Cloud BigQuery
Highcharts
JavaScript
Positron
PyTorch
SQL
Scala
Snowflake
Snowflake Cortex AI
Visual Studio Code
Claim Posit and update features and information
Claim Posit and update features and information
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Claim Zepl and update features and information