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Electron Fiddle vs WebStorm

Side-by-side comparison for macOS

Electron Fiddle

8.0
Developer Tools

Create and play with small Electron experiments

WebStorm

8.0
Developer Tools

JavaScript IDE

Metric Electron Fiddle WebStorm
Category Developer Tools Developer Tools
AI Score 8.0 8.0
30-day Installs 11 567
90-day Installs 41 1.8K
365-day Installs 226 8.2K
Version 0.39.0 2026.1.1,261.23567.141
Auto-updates No Yes
Deprecated No No
GitHub Stars 7.7K 379
GitHub Forks 750 18
Open Issues 91 25
License MIT MIT
Language TypeScript Kotlin
Last GitHub Commit 1mo ago 2mo ago
First Seen Aug 22, 2018 Aug 9, 2023

Reviews

Electron Fiddle

Electron Fiddle is a powerful tool for developers to experiment and create small Electron applications. It offers a user-friendly interface and real-time feedback, making it ideal for those learning Electron or prototyping ideas. Developers and tech enthusiasts benefit from its simplicity and flexibility.

Electron Fiddle allows users to create, test, and debug small Electron experiments with a built-in editor and real-time preview.

Pros

  • + Simplifies learning and experimenting with Electron
  • + Real-time feedback and preview of experiments
  • + Active development and strong community support

Cons

  • - No auto-update feature
  • - A large number of open issues may indicate potential instability

WebStorm

WebStorm is a powerful IDE designed for modern JavaScript development, offering robust support for frameworks like React, Angular, and Vue. It includes features like intelligent code completion, debugging tools, and support for styled-components, making it ideal for professional developers working on complex web projects.

Provides a comprehensive integrated development environment for JavaScript and related technologies.

Pros

  • + Advanced support for modern JavaScript frameworks and tools
  • + Free for non-commercial use, making it accessible to a wide audience
  • + Active development and strong community support

Cons

  • - Can be resource-intensive
  • - Some users may find the learning curve steep due to its extensive feature set