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In DataSpell 2024.2, we've introduced AI cells, enabling AI-assisted code generation, code editing, and error fixing in Jupyter notebooks. The streamlined cell execution includes a Run Cell button next to each cell and a Go To button for the previously executed cell. The new version also includes ne…

This blog post marks the start of the Early Access Program for DataSpell 2024.2. The DataSpell 2024.2 EAP 1 build is now accessible for download, providing an early glimpse into the exciting updates on the horizon.You can download the new version from our website, update directly from inside the IDE…

DataSpell 2024.1 introduces features designed to help you significantly boost your productivity.  Our ML team has enhanced the local model that powers ML-assisted full line code completion for Python, resulting in longer suggestions with more context taken into account, all without sending d…

The second Early Access Program (EAP) release of DataSpell 2024.1 delivers a range of exciting updates focusing on enhanced dbt Core support. This EAP version enhances code completion, introduces the ability to incorporate environment variables into run configurations, and enables the execution of m…

DataSpell 2023.3 introduces features designed to help you significantly boost your productivity.? JetBrains AI Assistant is now generally available with a number of new and improved features. We've integrated support for dbt Core, the well-known data transformation framework, into DataSpell. Working…

The fourth EAP build for DataSpell 2023.3 brings completion for database objects in SQL cells, the ability to get insights from your DataFrame using JetBrains AI Assistant, productivity boosters for interactive tables, and Full Line Code Completion. To catch up on all of the new features in DataS…

The third EAP build for DataSpell 2023.3 brings dbt? support, JetBrains AI Assistant actions via the context menu in Jupyter, and easy access to column statistics and data distribution histograms in tables. To catch up on all of the new features in DataSpell 2023.3, check out our previous EAP blo…

The second EAP release of DataSpell 2023.3 introduces several exciting features, including SQL cells in Jupyter notebooks and graphical representation of column data. The Toolbox App is the easiest way to get the EAP builds and keep both your stable and EAP versions up to date. You can also manua…

The first EAP release of DataSpell 2023.3 introduces several exciting features: faster table data exploration in the Python console along with support for pandas Series, data analysis project templates, the ability to sort DataFrames by multiple columns, and code completion for Jupyter Magics. Th…

If you’ve been keeping up with the advances in Python dataframes in the past year, you couldn’t help hearing about Polars, the powerful dataframe library designed for working with large datasets. Try Polars in DataSpell Unlike other libraries for working with larg…

DataSpell 2023.2 introduces Polars DataFrames library support, substantial enhancements in table data exploration, new UI improvements, and much more. We’re delighted to announce that we’ve started the integration of Polars as a first-class citizen within DataSpell. We understand how vital it is …