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Based on our record, graph-tool seems to be more popular. It has been mentiond 4 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.
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.
NetworkX - NetworkX is a Python language software package for the creation, manipulation, and study of the...
RedisGraph - A high-performance graph database implemented as a Redis module.
JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.
nebula graph - Featuring horizontal scalability, strong data consistency, high availability, and SQL-like query language, Nebula Graph database enables you to get insight out of your connected data. Get it now. For free
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.