kasipa (formerly deepsheet)

kasipa (formerly deepsheet)

kasipa (formerly deepsheet) is a browser-based data visualization tool that turns spreadsheets into charts and analysis through plain-language questions. Upload a CSV, Excel file, or connect a Google Sheet, describe what you want to see, and get interactive Plotly charts without installing desktop software.

The product runs analysis locally in your browser using WebAssembly, so your spreadsheet data stays on your device during chart generation. You can start from the homepage without creating an account, then refine results with follow-up messages until the chart matches what you need.

Beyond one-off charts, kasipa includes a community showcase where users publish visualizations built from public-interest datasets. The tool also supports multi-sheet Excel workbooks, Google Sheets links, and dedicated CSV and Excel to chart landing pages for quick uploads.

Creator Dylan Castillo built kasipa for analysts, researchers, and business users who want spreadsheet insights without writing code or switching between multiple tools.

Top Features:
  1. Upload CSV, Excel (.xlsx/.xls), or paste a Google Sheets link to start charting

  2. Ask questions in plain English and get Plotly charts you can refine with follow-ups

  3. Spreadsheet parsing and chart generation run locally in the browser via WebAssembly

  4. No sign-up required to upload data and build your first visualization

  5. Multi-sheet Excel workbooks let you pick which tab to visualize

  6. Community showcase for browsing and sharing public data visualizations

  7. Bar, line, pie, scatter, histogram, heatmap, and box plot chart types supported

Pros:
  1. Free Personal tier covers personal projects with optional bring-your-own API key for unlimited messages.

  2. Spreadsheet charting works without an account for quick one-off visualizations.

  3. Local browser processing via WebAssembly keeps data on your device during chart generation.

  4. Supports CSV, Excel, Google Sheets, and multi-sheet workbooks from a single upload flow.

  5. Community showcase makes it easy to browse example charts built on real datasets.

Cons:
  1. Shared API key usage is rate-limited unless you add your own key on the free plan.

  2. Professional features such as database connections and team sharing require the $15/month plan.

  3. No dedicated mobile app; the tool is browser-based only.

FAQs:

Is kasipa free to use?

Yes. kasipa offers a Personal plan that is free forever for personal projects and research. You get unlimited messages when you bring your own API key, with rate limits on the shared key if you do not add one.

What file formats does kasipa support?

kasipa supports CSV (.csv), Excel (.xlsx and .xls), and Google Sheets via a public sharing link. For Excel workbooks with multiple sheets, you can choose which sheet to chart after upload.

Does kasipa require an account?

No. You can upload a spreadsheet and create charts without signing up. An account is only needed if you want to save work, share charts publicly, or access paid team features.

Is my spreadsheet data uploaded to kasipa servers?

For chart generation, kasipa processes data in your browser using WebAssembly (Pyodide). The CSV and Excel landing pages state that analysis runs locally and data is not sent to a server for chart generation.

How much does kasipa Professional cost?

kasipa Professional costs $15 per month. It includes AI credits, 2 GB storage, database connections, custom chart branding, team sharing for Explores, and priority support.

What happened to deepsheet?

deepsheet rebranded to kasipa. The former deepsheet domain now points visitors to kasipa.com, where the product continues with spreadsheet uploads, natural-language charting, and browser-based analysis.

Category:

Pricing:

Freemium

Tags:

Data Visualization
Spreadsheet Analysis
CSV to Chart
Excel to Chart
Plotly Charts
Browser-based Analytics
Data Analysis
Plain English Queries

Tech used:

Python
JavaScript
React
Pandas
Next.js
Ant Design
Fathom
Ruby
Tailwind CSS
Plotly

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