Datalore
Collaborative data science platform for teams
Google Drive Integration, Python 3.11 in Conda Environments, and Security improvements in Datalore 2025.4
Datalore 2025.4 is now available, bringing support for Google Drive folders as data connections, Python 3.11 in conda environments, and a dozen of small behind-the-scenes enhancements and bug fixes.
These updates are already available for Datalore Cloud users, and Datalore On-Premises users can get them by updating their Datalore instance.
Google Drive integration
At Datalore, we strive to help all data teams make the most of their data – no matter where it is stored. That’s why we’ve expanded our set of database and cloud storage connectors to include Google Drive folders. Even if your team doesn’t store data in cloud buckets and prefers Google Workspace, your notebooks can always point to the latest version of CSV, JSON, Parquet, and other files without manual exports and re-uploads.
Learn more about connecting to Google Drive from Datalore.

Python versions in conda environments
The default Python interpreter in conda environments now uses Python 3.11, so that you can benefit from better performance, security, and support for library compatibility.
If your project in Datalore On-Premises depends on older or custom packages, you can build and use a custom image tailored to your exact needs. In Datalore Cloud, you can select the Python version that best fits your stack requirements when creating a notebook.
Security
In this release, we made Datalore even more secure. We introduced multiple security improvements, including fixes for CSRF- and XSS-related vulnerabilities, ensuring stronger protection for your Datalore instances. We also resolved a rare issue that could prevent interactive tables from displaying correctly and addressed problems affecting Plotly chart rendering.
More features are on the horizon, so keep an eye out for what’s next!