Based on our record, Inkscape seems to be a lot more popular than NetworkX. While we know about 486 links to Inkscape, 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.
For photo editing and manipulation 1) https://www.gimp.org/ 2) https://www.digikam.org/ 3) https://www.darktable.org/ Vector based editing tool 1) https://inkscape.org/ UI/UX 1). https://www.sketch.com/ I haven't found a tool that is as good as Adobe Indesign for desktop publishing. - Source: Hacker News / 8 days ago
Well, there is Serif's suite: https://affinity.serif.com/en-us/designer/ (There's also a Photo and page layout app) or the open-source stuff: - https://krita.org/en/ - https://inkscape.org/ - https://www.scribus.net/. - Source: Hacker News / 14 days ago
I created the initial version of the example in Inkscape v1.3.2. It produces markup that uses context-stroke. Vector graphics editors tend to be on the leading edge when it comes to adoption of SVG markup. It is the browsers that lag more often. - Source: dev.to / about 1 month ago
Agreed. It would be nice if more apps would build scripting in. Krita has: https://scripting.krita.org/lessons/introduction while for Inkscape there is: https://inkscape.org/~pakin/%E2%98%85simple-inkscape-scripting. - Source: Hacker News / about 2 months ago
All in this challenge was a journey for me, but things I really loved creating the project was understand how to set an encode SVG as background image. For this, I created my ilustrations (industries, trucks, animals, etc.) on Inkscape, I copied the SVG code and encoded using oksel.github.io/url-encoder. - Source: dev.to / about 2 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 / 5 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
Sketch - Professional digital design for Mac.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
RedisGraph - A high-performance graph database implemented as a Redis module.
Affinity Designer - Professional creative software, exclusively for Mac.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.