News

Datalore Enterprise 2023.4 includes comments for notebooks and reports, a new Viewer license type, report sharing via email invitations, and other improvements

We are introducing our new Team plan, which is currently in Beta. It's a fully-managed data science platform that operates in the cloud hosted by JetBrains, offering an alternative to our existing Enterprise plan hosted on your infrastructure.

We're introducing a new feature in Datalore called Ask AI. It aims to simplify coding in Python, R, and SQL by supporting code generation and modification through natural language commands.

This version includes authentication via HashiCorp Vault for Amazon Athena, multiple notebook schedules support, flexible drag-and-drop, and other improvements.

Different analytical tasks have different computing requirements. Depending on the complexity of your project, the computing power you need can vary significantly from month to month. That's why we're introducing the option to purchase extra Datalore credits. Read more.

This version brings native R package support for R users, and elevates your collaborative data science experience with notebook content search, environment variable management, and usability improvements for the Report builder.

The raw data of Developer Ecosystem Survey 2022 is now available for public access. You can now access the answers of 29,269 developers and conduct your own analysis. The raw data is accessible in two formats: csv file and a Jupyter notebook in Datalore with examples of analysis.

Reading data from a MySQL database to a pandas dataframe can be intimidating. Establishing a connection, keeping the credentials safe, creating an SQL query within a string variable, and saving the result to pandas is not a trivial task.

Since January 2023, we have rolled out a number of new features for our Community and Professional users. The list includes the long-awaited Datalore Run API, a more robust reactive kernel, a whole array of Powerful CPUs and GPUs, Datalore credits for Professional users, and a number of performance improvements. 

Working with financial data is not a trivial task, as you can’t just access a production database or a data lake, download the data, and work on it. You have to ensure secure access to the data and produce insights that are easy to share as well.

The last major release of Datalore rolled out no fewer than 11 big features, so in this release cycle we focused our efforts on making sure our development is healthy and fast-paced.

Learn how to install Git repositories, edit the content of these repositories, and version your work with Datalore.