Posit vs. Zepl Comparison


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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 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	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 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 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 Not 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 Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 5.0 / 5 Read all reviews	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
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 Supported Webinars Not Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Not Supported
Company Information Posit Founded: 2009 United States posit.co	Company Information Zepl Founded: 2016 United States www.zepl.com/product/
Alternatives Minitab Statistical Software Minitab	Alternatives Deepnote
Azure Data Science Virtual Machines Microsoft	Google Cloud BigQuery Google
Jupyter Notebook Project Jupyter	IBM Watson Studio IBM
Analance Ducen	Google Colab Google
SAS Viya SAS View All	Hex View All
Categories Big Data Supported Data Science Supported IDE Supported Machine Learning Supported Package Managers Supported Source Code Management Supported Statistical Analysis Supported	Categories Data Science Supported Machine Learning Supported Predictive Analytics Supported

Integrations Jupyter Notebook Supported Python Supported R Supported Amazon Athena Not Supported Amazon EMR Not Supported Amazon Redshift Not Supported Apache Spark Not Supported Apache Zeppelin Not Supported Coginiti Supported DataOps.live Not Supported Google Cloud BigQuery Not Supported JavaScript Not Supported Plotly Dash Not Supported Positron Supported PyTorch Not Supported RStudio Supported SQL Not Supported Snowflake Not Supported Snowflake Cortex AI Supported TensorFlow Not Supported Show More Integrations View All 8 Integrations	Integrations Jupyter Notebook Supported Python Supported R Supported Amazon Athena Supported Amazon EMR Supported Amazon Redshift Supported Apache Spark Supported Apache Zeppelin Supported Coginiti Not Supported DataOps.live Supported Google Cloud BigQuery Supported JavaScript Supported Plotly Dash Supported Positron Not Supported PyTorch Supported RStudio Not Supported SQL Supported Snowflake Supported Snowflake Cortex AI Not Supported TensorFlow Supported Show More Integrations View All 21 Integrations
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