Based on our record, Graphviz should be more popular than NetworkX. It has been mentiond 86 times since March 2021. 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.
Depends on the diagram. But a lot of times it's OpenOffice Draw[1]. I might also use Archi[2] or GraphViz[3] depending on what I'm trying to do. [1]: https://www.openoffice.org/product/draw.html [2]: https://www.archimatetool.com/ [3]: https://graphviz.org. - Source: Hacker News / 2 months ago
Isn't Graphviz [1] the standard tool for this? [1] https://graphviz.org/. - Source: Hacker News / 4 months ago
EXPLAIN AST: With this clause, we can explore the Abstract Syntax Tree, we can also visualize this via Graphviz. - Source: dev.to / 6 months ago
While inactive blockdiag was small and nice for automatically annotating documentation. As you can see it hasn't been maintained for a few years. https://github.com/blockdiag/blockdiag With complex diagrams, I find good old PlantUML diagrams more useful if not as initially pretty as mermaid. Plus it will output archimate without having to touch that UI https://plantuml.com/ But really it is horses for courses.... - Source: Hacker News / 9 months ago
Use a high-level language like Plant UML, D2, Graphviz which are good for the purpose they are designed for, but not for generic purpose diagramming. - Source: dev.to / 10 months ago
If you are interested in the subject, also take a look at NetworkDisk[1] which enable users of NetworkX[2] which maps graphs to databases. [1] https://networkdisk.inria.fr/ [2] https://networkx.org/. - Source: Hacker News / 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 / over 1 year 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: over 1 year 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 / over 1 year 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 2 years ago
draw.io - Online diagramming application
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.
Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.
yEd - 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.
RedisGraph - A high-performance graph database implemented as a Redis module.