Democratize Data Science
Exploratory’s Simple UI experience makes it possible for anyone to use Data Science to Explore data quickly, Discover deeper insights, and Communicate effectively.
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Exploratory Desktop
Exploratory Desktop provides a Simple and Modern UI experience to access various Data Science functionalities including Data Wrangling, Visualization, Statistics, Machine Learning, Reporting, and Dashboard.

It is built on R so you can easily Extend it with thousands of open source packages to meet your needs.
Data Access
You can quickly extract data from various built-in data sources such as Redshift, BigQuery, PostgreSQL, MySQL, Oracle, SQL Server, Vertica, MongoDB, Presto, Google Analytics, Google Spreadsheet, Twitter, Web Scraping, CSV, Excel, JSON, etc. or write your own R script!
Supported Data Sources
Data Wrangling
Exploratory’s simple and interactive UI experience makes data wrangling not just more effective, but also more fun.
Look What You Can Do
Data Visualization
Exploratory’s simple UI makes it easy to visualize data with a wide range of chart types you need to explore your data and discover insights quickly.
Look What You Can Do
Statistics / Machine Learning
Whether you are just starting out or a seasoned Data Scientist, Exploratory’s simple UI experience makes it easy to use a wide range of open source Statistics and Machine Learning algorithms to explore data and gain deeper insights quickly.
Look What You Can Do
Random Forest
Survival Analysis
Time Series Forecasting
You can create your own Dashboards with Charts and Analytics quickly, make them interactive with super parameters, share them your securely, and schedule them to make them always up-to-date.
Notes & Slides
Exploratory’s simple authoring experience makes it easier to write Notes and create Slides to communicate your insights and stories. You can include charts, analytics, super parameters, images, videos, or even R scripts to make them interactive and more effective.
Extend Beyond Exploratory
Exploratory is built on top of R. This means you have access to more than 15,000 data science related open source packages. Extend Exploratory with by brining in your favorite R packages, creating your own custom functions, GeoJSON Map files, data sources, and more.
Explore What Can Be Done
R Script Editor
R Package Install
Share Data & Insights in Reproducible Way
You can publish and share your Data, Chart, Dashboard, Note, and Slides with your teammates in a reproducible way at Exploratory Cloud or Exploratory Collaboration Server. You can find insights from others at the Insight page, and either interact with them or import them to your Exploratory to make them even better.
Explore Insight Page!
Reproducible Data Catalog
Democratization of Data Science starts from Democratization of Data. With Exploratory Data Catalog, you can find data easily, view them with summary visualization, see the metadata, interact with them, and reproduce them.
Look at the Data Catalog
Learn by Doing
Are you new to Data Science? No worry!

Exploratory Desktop’s simple and modern UI experience lets you focus on learning various data science methods by using them rather than figuring out how to setup or writing codes.

With Exploratory Insight Page, you can find many step-by-step and easy-to-follow tutorials to learn various Data Science methods including Data Wrangling, Data Visualization, Statistics, Machine Learning, etc.
Customer Testimonial
Exploring data is a key part of my duties. Exploratory allows me to quickly walk through different scenarios, add paths, visualize, and revert a few steps when I need to, all in an easy to use interface. It saves me quite a bit of time...
David Meza
Chief Knowledge Officer, NASA
This is an awesome UI experience for Data Scientists.
Marcos M. Campos
Head of AI @BonsaiAI
Exploratory has changed my data analysis workflow. Now I am able to use one tool from data wrangling to modeling, but it is also flexible so that I can use it with other tools if needed by the client.
Sara Vasquez
Data Analyst, Education
I can spend my time thinking about the data and coming up with questions regarding the underlying patterns rather than spending time learning all the details of the R system.
Brian Landes
Consultant at Open Sky Consulting, LLC
You mix the power of R with a beautiful user-friendly interface. I once explored a table with more than 40 million rows in Exploratory!
Dr Anne Jamet
Anne Jamet (MD-PhD), Clinical Microbiology Resident, Hôpital Necker Enfants Malades
増谷 修 (Osamu Masutani)
Data Scientist at Japan Taxi