The latest updates on all JetBrains products and topics
The final Datalore release of the year is here, and it brings multiple improvements designed to make your day-to-day work smoother. Whether you’re trying to keep reports error-free, managing user roles, or setting up environments, Datalore 2025.6 adds new tools that will help you stay organized and …
Datalore 2025.5 is out with multiple new features and improvements, including a new Git integration for workspace backups, the ability to share reports with preselected values in dropdowns, date pickers, and other inputs, and support for new LLMs in AI Assistant. These updates are already a…
Generating art at JetBrains At JetBrains, we are constantly refining our approach to creating pieces of art for use as website elements and release graphics. Our mission is to free graphic designers from routine tasks so they can concentrate on their core competence – creativity. The history of inte…
This version includes authentication via HashiCorp Vault for Amazon Athena, multiple notebook schedules support, flexible drag-and-drop, and other improvements.
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.
Have you ever struggled to create presentations for your stakeholders with your data science or data analysis results? Take a look at how you can nail this task with Report builder in Datalore.
The Report builder is a flexible new way to turn your notebooks into beautiful data reports. In this blogpost we’ll give a short introduction to the new features and will share more details in upcoming newsletters!
Data science projects can be complex, consisting of many parts, such as notebooks, data, environments, and scripts, and it can be challenging for data science teams to effectively collaborate on them.
Schedule Jupyter notebooks with just a few clicks. Specify run intervals from the interface or use the cron string to configure a schedule.
Today we are happy to introduce the docker-based installation for Datalore Enterprise and a bunch of other ways to streamline your data science team work. Read on for the highlights of the release!
In the past few months, we’ve been working hard on improving the data exploration and collaboration workflows in Datalore. In this blog post, we’ll give you an overview of what’s new!
Check out the newest data exploration features and enjoy the upgraded interactive reporting experience in Datalore Enterprise 2022.1.
