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nteract
nteract · v2.8.6,202610150559
2
5.0
Interactive computing suite
brew install --cask nteract 11
30-day installs
26
90-day installs
101
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
v2.8.6,2026101505593d ago2.8.2,202610090609→2.8.6,202610150559
9d ago2.8.1,202610070006→2.8.2,202610090609
11d ago2.8.0,202610061629→2.8.1,202610070006
11d ago2.7.6,202608280705→2.8.0,202610061629
1mo ago2.7.5,202608270405→2.7.6,202608280705
1mo ago2.7.4,202608261821→2.7.5,202608270405
1mo ago2.7.3,202608230344→2.7.4,202608261821
1mo ago2.7.1,202608192148→2.7.3,202608230344
1mo ago2.7.0,202608172336→2.7.1,202608192148
2mo ago2.6.2,202606300322→2.7.0,202608172336
+ 12 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