DataSpell

DataSpell is JetBrains‘ AI-powered integrated development environment for data science and analytics, integrating best-in-class Jupyter notebook support.

Deep optimization for Python and R languages, and more than 50 database connectivity capabilities to help data analysts and scientists efficiently complete the entire process from data preparation to insight sharing on macOS. DataSpell has a built-in free JetBrains AI Pro, which allows users to quickly transform ideas into data manipulation, cleaning tasks, and visual generation through natural language chat, significantly improving the efficiency of exploratory analysis. The software provides Data Wrangler no-code data cleaning tools that support interactive table manipulation, missing value detection, and automatic transformations, while retaining full code-assisted workflows, allowing users to choose between AI-driven or manual modes based on their habits. DataSpell optimizes the notebook experience with real-time debugging, interactive controls to view data frames and visualize results, and is compatible with popular science libraries such as Plotly, Bokeh, Altair, and more. In the data preparation stage, you can easily connect local files, cloud data sources, or databases, and manage them in a dedicated data tool window. The analysis session uses ML-powered code completion, dynamic error checking, and AI agents to handle simple queries to complex machine learning prototyping. The reporting session allows you to export notebooks as PDF, HTML, Markdown, or plain Python code, facilitating automated deployment on platforms like GitHub, Databricks, and more. As a member of the JetBrains product family, DataSpell inherits powerful version control integrations, support for Git and local history to prevent loss of results, and has an ecosystem of over 5,000 plugins for extended customization. Whether it’s sharing insights in a team collaboration or conducting in-depth data exploration individually, DataSpell combines the intelligence of a professional IDE with the flexibility of data tools to deliver a smooth, secure, and SOC 2-certified analytics experience for macOS users.