Alternatives
Products that do what Peasy Plot does
The fastest route from CSV to presentation-ready charts.
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Turn CSV & Excel files into charts in seconds
Apr 2026 · embedful.io
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Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI. You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations. PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker". Here are some links to check it out: The Github Repo: https://github.com/Kanaries/pygwalker Use PyGWalker in Kaggle:…
2023 · github.com
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Probly was built to reduce context-switching between spreadsheet applications, Python notebooks, and AI tools. It’s a simple spreadsheet that lets you talk to your data. Need pandas analysis? Just ask in plain English, and the code runs right in your browser. Want a chart? Just ask. While there are tools available in this space like TheBricks, Probly is a minimalist, open-source solution built with React, TypeScript, Next.js, Handsontable, Hyperformula, Apache Echarts, OpenAI, and Pyodide. It's still a work in progress, but it's already useful for my daily tasks.
2025 · github.com
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Process large (e.g. 4GB+) data sets in a spreadsheet. Load GB/32 million-row files in seconds and use them without any crashes using up to about 500GB RAM. Load/edit in-place/split/merge/clean CSV/text files with up to 32 million rows and 1 million columns. Use your Python functions as UDF formulas that can return to GS-Calc images and entire CSV files. Use a set of statistical pivot data functions. Solver functions virtually without limits for the number of variables. Create and display all popular chart types with millions of data points instantly. Suggestions…
2025 · citadel5.com
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2022 · github.com
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After releasing our open-source tool to build animated charts in Jupyter and other computational notebooks (https://news.ycombinator.com/item?id=30895975), we got two requests from data scientists: 1. They lacked the opportunity to use these charts to present their findings and control the animation better than just (re)running notebook cells. 2. They had challenges using our generic chart-building engine - they are more acquainted with picking a chart type and using the parameters specific to that type. So we decided to build a new extension that enables our users to add the…
2022 · github.com
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