(A cloud data science platform for development, sharing and publications)
(Data science IDE server for cloud and on-premises)
RIDE is a modern IDE with full language support for R, Python and SQL. You can develop in notebooks or text editor with content assitant, signature help, data and environment view, and debugger. It means that you do not change or pay extra license for your IDE for developing in these languages. Also, RIDE Server is a containerized platform that provides a secure and stable environment for all developers. It means that each project is a workspace with its own setup and configuration.
First of all, RIDE has its own R Kernel. As a result, users are able to develop and run Shiny Apps, RMarkdown and visual debugger conveniently. They can also enjoy the extra services of data and environemnt view. Developers can use all these services in notebooks as well. Also, RIDE has a state of the art text editor with advanced features such as hovering, context menu and content assistant that makes development an enjoyable experience. These services are also availble for Python and SQL which are not available in Jupyter lab.
Yes of course. We support all these frameworks and update our service for those come to the market.
Yes, absolutely. Please contact us to learn about special discounts for educational instituitions and small businesses.
Yes of course. You can run RIDE Server anywhere that docker runs including cloud instances. For AWS, 1-Click deployment with hourly / annual licensing is coming soon. For other cloud services, you can follow the instruction of deployment on servers.
No. RIDE DSP is avaiable on AWS only. 1-click installation for RIDE DSP is coming soon, in the meantime we setup RIDE DSP on your VPC by our support team.
Yes. RIDE Server and RIDE DSP support Python 2 and 3, R and SQL. However, in contrast to Python 3, Python 2 service does not come with debugger and data view.