Compare - Count VS Streamlit
Here’s the difference between Count and Streamlit. The comparison is based on pricing, deployment, business model, and other important factors.
About Count
Count is a collaborative data whiteboard. It combines all the power of your SQL IDE, Python notebook, and BI tool - in a reactive, real-time canvas. Instead of working one query at a time in an IDE, the canvas lets you lay out your entire thought process in one place, and explain not just the answer but how you got there. Analyze data with SQL, Python, or drag-and-drop query builders. Import and export dbt models. Run queries against your database, or locally in the browser using DuckDB and Python. Share canvases to get help from a teammate or feedback from stakeholders. Turn any canvas into a dashboard, report, interactive app, or even a slide deck.
About Streamlit
The fastest way to build and deploy data apps. Streamlit is the first app framework built specifically for Machine Learning and Data Science teams.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Workspace/ Collaboration | Data Apps |
| Stage | Mid Stage | Early Stage |
| Target Segment | Mid Size, Enterprise | Mid size, Enterprise |
| Deployment | SaaS | Open Source |
| Business Model | Commercial | Commercial |
| Pricing | Freemium, Contact Sales | Free Trial |
| Location | London, England | San Francisco, California, United States |
| Companies using it | ||
| Contact info |
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