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nteract
nteract · v2.6.2,202606300322
2
5.0
Interactive computing suite
brew install --cask nteract 7
30-day installs
34
90-day installs
97
365-day installs
Install trend
Trust Score 2/10
✗ Open source +0
✗ Active development +0
✗ Licensed +0
✗ No auto-updates +0
✓ Not deprecated +1
✓ Established (>1yr) +1
✗ Low installs +0
Version History
v2.6.2,2026063003224d ago2.6.1,202606272325→2.6.2,202606300322
6d ago2.6.0,202606251403→2.6.1,202606272325
8d ago2.5.1,202605261941→2.6.0,202606251403
1mo ago2.4.8,202605142308→2.5.1,202605261941
1mo ago2.4.7,202605120217→2.4.8,202605142308
1mo ago2.4.6,202605082015→2.4.7,202605120217
1mo ago2.4.5,202605050448→2.4.6,202605082015
2mo ago2.4.2,202605021825→2.4.5,202605050448
2mo ago2.4.1,202605020648→2.4.2,202605021825
2mo ago2.3.4,202604261517→2.4.1,202605020648
+ 2 older versions
Review
Mar 11, 2026Nteract is an interactive computing suite that integrates with Jupyter notebooks, offering a desktop environment for data exploration and analysis. It's designed for data scientists and developers who need real-time collaboration and interactive coding capabilities.
Provides a desktop environment for interactive computing, supporting Jupyter notebooks and data exploration.
Maturity: The project shows recent activity but has limited community adoption with low GitHub stars and forks.
Community: There is limited discussion on Hacker News with low engagement, and no mentions on Reddit.
Pros
- + Integration with Jupyter ecosystem
- + Real-time collaboration features
- + Desktop environment for interactive computing
Cons
- - Low community traction
- - Unclear licensing information
Community Mentions
hackernews
hackernews
May 2020 Designing the Nteract Data Explorer
hackernews
hackernews
Mar 2017 Nteract: Building on top of Jupyter
hackernews
Positive sentiment Negative sentiment Neutral / unknown