Based on our record, GitHub Pages seems to be a lot more popular than NetworkX. While we know about 469 links to GitHub Pages, we've tracked only 34 mentions of NetworkX. 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.
Cool. Checking it out. For those looking for more options, Dub[1] is a matured open-source[2] link shortener with Analytics. For not-so-large volumes of links, say for friends-family, and the occasional public links, you can run something off Github Pages[3] with their built-in Jekyll + Redirect-From Plugin[4]. If you do not want to, you do not even need to have the code run locally, just edit on Github. I run one... - Source: Hacker News / 6 days ago
I moved my blog from WordPress to GitLab Pages in... 2016. I'm happy with the solution. However, I used GitHub Pages when I was teaching for both the courses and the exercises, e.g., Java EE. At the time, there was no GitHub Actions: I used Travis CI to build and deploy. - Source: dev.to / 20 days ago
You can deploy to Github Pages in under 2 minutes by following their documentation. - Source: dev.to / about 2 months ago
For this application, Elm controlled the routing. So, I had to adapt the scripts to deploy to Netlify instead of GitHub Pages. Why? Because you need to be able to tell the web server to redirect all relevant requests to the application. GitHub Pages doesn't have support for it. - Source: dev.to / 3 months ago
It's super easy to publish a static site like the resume with GitHub Pages. Just check out the docs. - Source: dev.to / 3 months ago
In the project we used Python lib networkx and a DiGraph object (Direct Graph). To detect a table reference in a Query, we use sqlglot, a SQL parser (among other things) that works well with Bigquery. - Source: dev.to / 6 months ago
If you program in Python, can use NetworkX for that. But it's probably a good idea to implement the basic algorithms yourself at least one time. Source: 7 months ago
For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2]. Integrations include: * NetworkX -- https://networkx.org/ * DeepGraphLibrary -- https://www.dgl.ai/ * cuGraph (Rapids.ai Graph) --... - Source: Hacker News / 9 months ago
Org-roam-ui is a great interactive visualization tool, but its main use is visualization. The hope of this library is that it could be part of a larger graph analysis pipeline. The demo provides an example graph visualization, but what you choose to do with the resulting graph certainly isn't limited to that. See for example networkx. Source: about 1 year ago
Back in college, I had an assignment deadline coming up and I wanted to work on it in the train since I had an 8-hour journey ahead of me. It was about some analysis of graph data, which used a Python package called NetworkX. The train's WiFi didn't allow me to access their documentation because it apparently thought it was porn. Source: about 1 year ago
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Jekyll - Jekyll is a simple, blog aware, static site generator.
RedisGraph - A high-performance graph database implemented as a Redis module.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.