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DataSpell vs Goland

Side-by-side comparison for macOS

DataSpell

8.0
Developer Tools

IDE for Professional Data Scientists

Goland

8.0
Developer Tools

Go (golang) IDE

Metric DataSpell Goland
Category Developer Tools Developer Tools
AI Score 8.0 8.0
30-day Installs 18 467
90-day Installs 60 1.4K
365-day Installs 361 6.5K
Version 2026.1.1,261.23567.176 2026.1.1,261.23567.143
Auto-updates Yes Yes
Deprecated No No
GitHub Stars 54
GitHub Forks 2
Open Issues -
License MIT
Language Go
Last GitHub Commit 1mo ago
First Seen Aug 9, 2023 Nov 3, 2017

Reviews

DataSpell

DataSpell is a professional IDE designed specifically for data scientists, offering robust support for Python and R, notebook editing, and integration with tools like Jupyter and Pandas. It is tailored for those who need a seamless environment for data analysis and scientific computing.

An integrated development environment tailored for data science tasks, supporting Python and R.

Pros

  • + Strong support for Python and R, essential for data science
  • + Integrated notebook editing for Jupyter and similar tools
  • + Credibility and features from JetBrains, known for quality IDEs

Cons

  • - Still maturing, with some features limited compared to established IDEs
  • - Limited ecosystem compared to other JetBrains products

Goland

Goland is a powerful IDE tailored for Go (golang) development, offering features like debugging, code insights, and integration with JetBrains tools. It's ideal for developers seeking a robust environment to enhance their Go programming experience.

Goland provides an integrated development environment specifically designed for Go programming language development.

Pros

  • + Tailored for Go development with specific features and tools.
  • + Integration with JetBrains ecosystem tools enhances productivity.
  • + Comprehensive debugging and code analysis capabilities.

Cons

  • - Potential learning curve for new users.
  • - Licensed software, which may be a barrier for some users.