Mermaid
PlantUML
draw.io
LucidChart
Mermaid Chart
Excalidraw
Diagramly.ai
yEd
PythonAnywhere
Heroku
Google App Engine
DigitalOcean
Microsoft Azure
AWS Cloud9
Codeanywhere
Amazon AWS
Mermaid
PythonAnywherePythonAnywhere is especially recommended for Python developers (beginners and intermediates), educators, students, and hobbyists who are looking for an easy and quick way to deploy and host their Python applications or who need an online python environment for coding practice.
Mermaid might be a bit more popular than PythonAnywhere. We know about 62 links to it since March 2021 and only 55 links to PythonAnywhere. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Seems a bit more like https://mermaid.js.org use cases! - Source: Hacker News / about 2 months ago
I wanted authors on my Forem instance to write flowcharts and sequence diagrams using Mermaid syntax directly in their articles, like this:. - Source: dev.to / 3 months ago
Credits: - label: Cover image text: Kelly Sikkema on Unsplash url: https://unsplash.com/@kellysikkema - label: Diagram library text: Mermaid url: https://mermaid.js.org/. - Source: dev.to / 3 months ago
> Actually, diagrams are nice. I especially use AI to generate code for things like Mermaid[0]. It's just easier to describe the flow I want to outline than to remember all the nuances of Mermaid or similar code -> graph / diagram tooling. The output still looks nice too. [0]: https://mermaid.js.org/. - Source: Hacker News / 4 months ago
Architecture diagrams. For anything more complex than a single-purpose utility, a high-level architecture diagram pays for itself immediately. GitHub now natively renders Mermaid.js syntax in Markdown files. That means you can embed flowcharts, sequence diagrams, and entity-relationship diagrams directly in your README without generating external images. No extra build step, no stale PNGs. Just write the Mermaid... - Source: dev.to / 4 months ago
The website is already built. Each comment will have a reddit post URL, and the bot should leave a comment on that URL. We can use pythonanywhere.com for this to make it easiest. Source: about 3 years ago
If you are learning, use pythonanywhere.com as they specialize in python, and make setup easy. Only $5 a month. Start with a barebones flask app, get it to run, then follow a tutorial. Actually better to build the app locally, easier to test with IDE like Pycharm. Then upload to the net. Source: about 3 years ago
Hello, I have a Minecraft server running on a Rpi with Paper. It works great and I use it to play with some of my friends. However, the server's public IP address often changes, meaning that I have to give my friends the new IP address daily. Being a programmer, I feel this could be automated. I don't want to buy a domain, so I want to try and setup a system where the server sends Its IP to my PythonAnywhere... Source: over 3 years ago
Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: over 3 years ago
So what is the best alternative? I have one Plotly Dash app on pythonanywhere.com where I spend 6 bucks a month so I don't want to spend anymore than 5 dollars per month on the PHP + MySQL. Source: over 3 years ago
PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
draw.io - Online diagramming application
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
LucidChart - 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.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.