Library to produce many kinds of automated, presentable, data-driven 2-D plots, charts, graphs in SVG
DataDraw is a python function library class to produce many kinds of automated,
presentable, data-driven 2-D plots / charts / graphics / image annotations in SVG.
It's an all-python server-side solution, producing SVG results that can be
embedded directly into html web pages or saved as .svg image files.
No javascript, css, or svg knowledge is required.
Axis and legend rendering, tooltips, linkouts, automatic ranging, basic statistics,
draw primitives. Handles numeric, log, categorical, and datetime data types.
Leverages SVG's fonts, colors, transparency, image handling, and other aspects.
Works well within frameworks such as Flask or Django.
Limited interactivity / reactivity use-cases.
Tested on linux python 3.6 and 3.9 using recent browser versions; believed to be thread-safe.
FAQs
Library to produce many kinds of automated, presentable, data-driven 2-D plots, charts, graphs in SVG
We found that datadraw demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.
Research
Security News
A threat actor's playbook for exploiting the npm ecosystem was exposed on the dark web, detailing how to build a blockchain-powered botnet.
Security News
NVD’s backlog surpasses 20,000 CVEs as analysis slows and NIST announces new system updates to address ongoing delays.
