
LucidChart
yEd
OmniGraffle
Dia
PlantUML
Visio
Miro
Online diagramming application

Open HUB
LibHunt
My Good First Issue
jsDelivr
Insanely Useful Websites
Gamification OS
daily.dev
Your go-to Python Toolbox. A curated list of awesome Python frameworks, packages, software and resources. 1303 projects organized into 177 categories.

Which is more popular?
Based on our record, draw.io seems to be a lot more popular than Awesome Python. While we know about 716 links to draw.io, we've tracked only 1 mention of Awesome Python.
Website, pricing, platforms and company facts side by side.
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| Website | drawio.com | python.libhunt.com |
| Pricing | — | |
| Company | Startup from Germany | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Awesome Python yet.
Walkthroughs and reviews on video.
draw.io - Draw diagrams in the cloud or as an AppImage
More videos
No Awesome Python videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using draw.io and Awesome Python. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


The mission of Diagrams.net is to “provide free, high quality diagramming software for everyone.” To follow through on this mission, the Diagrams.net team says, “When companies pay us money it should be because we add...
Where do you even begin with Diagrams.net, formerly known as Draw.io? Besides being free of charge, it also has a low learning curve, so anyone can quickly start creating diagrams or whiteboards. Many people use...
There are many generic diagramming tools that can be used to design software such as diagrams.net (formerly draw.io), Miro, or Lucid Charts. These generic tools do allow a lot of flexibility but end up costing you...
We have no reviews of Awesome Python yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Draw.io (available at drawio.com) is an online and offline tool that lets you create various types of diagrams, including:. - Source: dev.to / over 1 year ago
During my college days I used to use Drawio to draw wireframes and flowcharts. When I found that there is a VS Code extension that allows me to do it in the IDE it was a no brainer. I have found it is also useful whenever I am screen... - Source: dev.to / almost 2 years ago
Glad you like it! :D Feel free to reuse/edit it for the Steam page if you want. Also happy to send you the draw.io file if you'd like :). Source: over 3 years ago
Libhunt: a list of Python open-source projects; submitting here will sometimes get you included in the Awesome Python newsletter. - Source: dev.to / over 3 years ago
When comparing draw.io and Awesome Python, you can also consider the following products.

LucidChart is the missing link in online productivity suites. LucidChart allows users to create, collaborate on, and publish attractive flowcharts and other diagrams from a web browser.
Compare LucidChart to draw.io or Awesome Python:

Open HUB is an open source directory that anyone can edit.
Compare Open HUB to draw.io or Awesome Python:

yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.
Compare yEd to draw.io or Awesome Python:

LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
Compare LibHunt to draw.io or Awesome Python:

OmniGraffle is for creating precise graphics like website wireframes, an electrical system designs, or mapping out software class.
Compare OmniGraffle to draw.io or Awesome Python:

mygoodfirstissue helps you find open source projects with a codebase you are comfortable with.
Compare My Good First Issue to draw.io or Awesome Python: