DataSpell

DataSpell 2025.1: JetBrains Data Wrangler AI Agent, No-Code Data Preparation Flow, AI Quick Charts, and More!

We’re thrilled to introduce DataSpell 2025.1, the first major release of 2025. This update focuses on making data cleaning and preparation more intuitive and efficient than ever before. (more…)...

DataSpell 2024.2: AI Cells, Enhanced Experience With Jupyter Notebooks, Geo Viewer for Tabular Data Files, and More

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...

DataSpell 2024.2 EAP Is Open!

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: Full Line Code Completion, the Ability to Query Data Frames via SQL Cells, Import Data Cells, dbt Сore Support Improvements

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...

DataSpell 2024.1 EAP 2 Is Out, Focusing on dbt Core

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...

Join the Livestream: How to work with SQL and Databases in DataSpell

We invite you to join our livestream How to work with SQL and Databases in DataSpell. The event will take place on Monday, January 22, at 1:00 PM UTC. Date: January 22, 2024 Time: 1:00 pm UTC (2:00 pm CET / 8:00 am EST) Register In this livestream, we’ll show you how to write...

DataSpell 2023.3: AI Assistant, dbt Core Support, SQL Cells, Interactive Table Productivity Boosters

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...

DataSpell 2023.3 EAP 4 Is Out! AI Assistant, SQL Cells, and Improvements for Interactive Tables

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...

DataSpell 2023.3 EAP 3 is out! Introducing dbt® support!

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...

DataSpell 2023.3 EAP 2 Is Out! Introducing SQL Cells and Graphical Representation of Column Data

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...

DataSpell 2023.3 EAP 1 Is Out! Faster Table Data Exploration, New Project Templates, and the Ability to Sort DataFrames by Multiple Columns

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...

Polars vs. pandas: What’s the Difference?

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...