
GitHub
A beautiful open-source quadratic function calculator.
What it does
A professional calculator for calculating quadratic functions with visualization. This calculator is better than others because it draws graphs, accurately calculates the discriminant and roots. The program has a trendy design - gicoder505/Quadratic_Calculator_Pro
Does a similar job
all alternatives →- QOQuadratic – Open-Source Spreadsheet with Python, AI (WASM and WebGL)2023 · quadratichq.com · ▲224
Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps. Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically. Quadratic is built…



- FAFigr.app – a multi-user, notepad style calculator (desktop app)2022 · figr.app · ▲275
Hi all, just posting an update to my previous Show HN, where I announced a side-project I worked on which was a (web version) of a multi-user, notepad style calculator: https://news.ycombinator.com/item?id=31817997 After a couple of user requests (and having a good think about it) I decided to migrate the web UI to create a Mac and Windows desktop app. After using it a little bit, I feel this is a much better experience than the webapp, and reduces a lot of the friction if I wanted to run a few small calculations. You can find the download links below:…
- CAChebyshev approximation calculator2024 · stuffmatic.com · ▲278
Hi everyone, here's a web app I made that generates code for efficiently approximating mathematical functions. This is useful when performance matters more than perfect accuracy, for example in embedded systems. The app uses Chebyshev expansions, which despite their theoretical depth result in suprisingly compact and readable code in practice. This code is generated for you and using it does not require any knowledge of the underlying theory. Source code and more info: https://github.com/stuffmatic/chebyshev-calculator
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