Workspaces vs Notion
Side-by-side comparison for macOS
Workspaces
6.0Workspace organising app
Notion
8.0App to write, plan, collaborate, and get organised
| Metric | Workspaces | Notion |
|---|---|---|
| Category | Developer Tools | Productivity |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 11 | 5.8K |
| 90-day Installs | 40 | 16.9K |
| 365-day Installs | 126 | 61.6K |
| Version | 2.1.5 | 7.16.0 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 521 | 5.5K |
| GitHub Forks | 26 | 709 |
| Open Issues | 11 | 62 |
| License | Apache-2.0 | MIT |
| Language | Clojure | TypeScript |
| Last GitHub Commit | 7mo ago | 1mo ago |
| First Seen | Aug 9, 2023 | Aug 9, 2016 |
Reviews
Workspaces
Workspaces is a macOS app that helps users organize their workspaces, particularly suited for developers working with Clojurescript. It offers a unique live development environment and workspace management features, benefiting developers and power users seeking efficient project organization.
Workspaces helps organize and manage workspaces on macOS, providing tools tailored for developers, especially those using Clojurescript.
Pros
- + Unique approach to workspace organization
- + Developer-focused features with Clojurescript integration
- + Live development environment for enhanced productivity
Cons
- - Low recent installs suggesting niche appeal or waning interest
- - Open issues and past bugs may affect reliability
Notion
Notion is an all-in-one workspace that combines writing, planning, collaboration, and organization into one versatile tool. It offers a wide range of features for managing notes, tasks, wikis, and databases, making it ideal for individuals and teams seeking a comprehensive productivity solution.
Notion serves as a workspace for creating and managing notes, tasks, wikis, and databases.
Pros
- + Versatile and comprehensive workspace features
- + Strong collaboration and organization tools
- + Active development and community support
Cons
- - Some API-related issues reported in GitHub
- - Occasional performance problems with large databases