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Based on our record, NetworkX should be more popular than graph-tool. It has been mentiond 35 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.
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 / 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 / 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: almost 2 years ago
Some Python libraries have a C/C++ core that relies on libraries such as Cairo and Boost and many others. Such dependencies are not installable with pip/venv simply because they are not Python packages. If you want to try one example, have a go on installing Graph-Tool using pip. Source: over 2 years ago
Do they offer the full feature set of graph-tools? https://graph-tool.skewed.de/. Source: over 2 years ago
Graph-tool - it does only 2D plots and has very slow interactive graphs. Source: about 3 years ago
Graph-tool: This is the one I use the least, although it is probably one of the most powerful. It lets you quickly run advanced community detection analyses like stochastic block models, hierarchical partitions, etc. It also has a fantastic visualization suite for making gorgeous figures. It used to be a pain in the ass to compile, which is why I ended up sinking the time into igraph, although I understand that... Source: about 4 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
LemonGraph - An embedded transactional graph engine for Python.
RedisGraph - A high-performance graph database implemented as a Redis module.
JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.
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