Plotly is a plotting ecosystem with powerful Python APIs that also includes client-side interactivity. Of course, this makes it a great fit for Anvil!
As part of our tour of Python plotting libraries, Shaun walks us through how to use Plotly from Python.
We keep getting asked, “Why did you open-source such a core part of your product?”
Meredydd explains why our open-source App Server was the best way to fix web development for more people – and doesn’t change Anvil’s business model as much as you might think.
We are excited to announce that the Anvil Runtime and App Server are now open source!
Export your app from the Anvil Editor and host it anywhere – the power is all yours.
Matplotlib is the wise old sage in the plotting village. While some other plotting libraries have simpler interfaces, Matplotlib’s strength is the precise control you have over your plots.
It is still the most popular Python plotting library, based on PyPi downloads per month.
A haunted keyboard, a branded tea tray, and some Root Cause Analysis.
Is it April Fools Day yet?
By popular request, we’ve built a full-scale, shippable example application entirely in Anvil.
Dig your teeth into an example of what Anvil can do!
Python is the language of Data Science, and there are many plotting libraries out there.
Which should you choose?
In this guide, we introduce and explain the best-known Python plotting libraries, with a detailed article on each one.
So, you’re doing some data analysis in Python, and you want to generate a PDF report. If you Google around, you’ll find a bunch of jerry-rigged ways of doing it, by generating HTML.
Working with HTML and CSS is a pain – wouldn’t it be easier if we could just design our PDFs with a drag-and-drop designer?