About Count
Collaborative data canvas with SQL, Python, and visual analysis workflows.
Best Alternatives to Count
5 AI Data Analysis tools · Updated Mar 2026
Looking for alternatives to Count? We've compiled 5 tools that offer similar capabilities — each rated by relevance, pricing, and how well they fit common use cases.
Quick Comparison
| Tool | Pricing | Starting At | |
|---|---|---|---|
| Streamlit | freemium | Free | Compare |
| Deepnote | freemium | Free | Compare |
| Hex | freemium | Free | Compare |
| Mode Analytics | freemium | Free | Compare |
| Observable | freemium | Free | Compare |
All Alternatives to Count
Open-source Python framework for building interactive data apps quickly.
Why consider this: Directly competes in the data analysis space with a different approach to the same core problems.
- Python-native
- Auto-generated UI
- Interactive widgets
Collaborative data science notebook with real-time editing and AI code assistance.
Why consider this: Directly competes in the data analysis space with a different approach to the same core problems.
- Real-time collaboration
- SQL and Python
- AI code assistant
Collaborative data workspace with AI-powered SQL and Python analysis.
Why consider this: Directly competes in the data analysis space with a different approach to the same core problems.
- AI analysis (Magic)
- SQL + Python notebooks
- Collaboration
Collaborative analytics with SQL, Python, R, and interactive business reports.
Why consider this: Directly competes in the data analysis space with a different approach to the same core problems.
- SQL editor
- Python and R notebooks
- Interactive reports
Reactive JavaScript notebooks for interactive data visualization and data apps.
Why consider this: Directly competes in the data analysis space with a different approach to the same core problems.
- Reactive notebooks
- D3 and Plot integration
- SQL support