pygal
node-canvas
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pygal | node-canvas | |
---|---|---|
3 | 22 | |
2,600 | 9,893 | |
0.3% | 1.2% | |
7.7 | 5.7 | |
3 months ago | 15 days ago | |
Python | JavaScript | |
GNU Lesser General Public License v3.0 only | - |
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pygal
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ECharts for Python
> There is a snapshot library for pyecharts that allows you to convert the HTML produced by the library into formats like JPEG, PNG, PDF and SVG.
One alternative is Pygal: https://github.com/Kozea/pygal/
Even though the library is not actively "developed" but it is a complete library in my opinion.
I feel like with d3.js and eCharts, modern data visualization requires you to run analytics processes first then outputting a JSON then writing the visualization code with JavaScript.
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Homebrew Crafting rules and analysis
I used Pygal to generate the charts, and it uses a unique colour per dataset, so 20 colours for each level. I just didn't see a need to change it.
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[OC] I created graphs that show the page count per chapter for the top 20 most popular manga on MyAnimeList. (Notes and interactive charts in comments)
pygal (To generate the png and interactive charts)
node-canvas
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2024 Web Development Wish List
Assuming SWR (stale while revalidate) is working, we could definitely use the ability to edit images in workers. We would need support for node canvas or something similar.
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Skinny legend (2017 - 2023)
So at this point, I have all the images and the data required to align the images. I used node-canvas to do that. So here's how I aligned the images:
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ECharts for Python
ECharts was originally a Baidu project, released under https://github.com/ecomfe/echarts (ecomfe = "E-commerce frontend"?). They still maintain some of the auxiliary libraries.
I've been using it since around ... 2018-ish[0]? ... as a replacement for Google Charts. It was my first time using a big library from one of the Chinese tech giants -- basic docs and tutorials in English, then all the advanced stuff (and comments) written in Chinese. I was impressed by how comprehensive the charts library was, and how they'd obviously invested a lot of brainwork into the configuration system. IMO it's one of the highest-quality data visualization libraries in JavaScript unless you're willing to dive deep into something like d3.js.
The blog post's author describes running echarts in a headless Chrome, though, which seems insane to me. It's JavaScript rendering to a -- can't it run in Node with https://github.com/Automattic/node-canvas ?
[0] A small publicly-accessible example: https://john-millikin.com/reddit-front-page-2018#by-domain
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Unify Protect Homebridge Plugin
node-pre-gyp ERR! install response status 404 Not Found on https://github.com/Automattic/node-canvas/releases/download/v2.11.0/canvas-v2.11.0-node-v93-darwin-unknown-arm64.tar.gz
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Social Media Cards with @vercel/og
Another approach is it to create a background image and insert the texts and the metadata with a canvas library like node-canvas. This approach is very well described in this Learn With Jason episode. But with a canvas library we have to specify on which coordinates we want to render our texts and it does not wrap automatically if it becomes to long.
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Is there a simple way to draw a box on a JPG?
Never used it but probably this: https://github.com/Automattic/node-canvas
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Lambda keeps consuming more and more memory until it kills it self
I found this issue: https://github.com/Automattic/node-canvas/issues/1974 and somebody commented with a link about node buffers. So I decided to test these parts.
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best way to generate image on server
Some popular Node.js libraries for manipulating images are node-canvas and sharp.
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BEGINNER PROJECT - How to parse a .txt and create .png files from each line?
node.js + imagemagick + node canvas + node canvas libraries (depends on your OS)
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The tech behind creating your own 'Spotify Wrapped' style campaign in 2022
If you want to go the same route check out the node-canvas library from the Automattic folks. That essentially lets you use the Browser Canvas API for drawing (but server side instead of in the browser).
What are some alternatives?
matplotlib - matplotlib: plotting with Python
canvas - High performance skia binding to Node.js. Zero system dependencies and pure npm packages without any postinstall scripts nor node-gyp.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
puppeteer - Node.js API for Chrome
bokeh - Interactive Data Visualization in the browser, from Python
vercel - Develop. Preview. Ship.
seaborn - Statistical data visualization in Python
napi-rs - A framework for building compiled Node.js add-ons in Rust via Node-API
Altair - Declarative statistical visualization library for Python
cryptopunk-nft-generator
bqplot - Plotting library for IPython/Jupyter notebooks
urix - [DEPRECATED] Makes Windows-style paths more unix and URI friendly.