NetworkXum
sqlite3-bfsvtab-ext
NetworkXum | sqlite3-bfsvtab-ext | |
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1 | 2 | |
11 | 17 | |
- | - | |
10.0 | 0.0 | |
about 1 year ago | over 3 years ago | |
Python | C | |
- | - |
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NetworkXum
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PageRank Algorithm for Graph Databases
But now we just use a pure Graph implementation with NetworkX interface - UKV [2].
[1]: https://github.com/unum-cloud/networkxum
sqlite3-bfsvtab-ext
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PageRank Algorithm for Graph Databases
This should make it a lot better: https://github.com/abetlen/sqlite3-bfsvtab-ext
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Simple-graph: a graph database in SQLite, via “SQLite as a document database”
I've actually been working on an extension to perform breadth first search queries in SQLite on general graphs [0]. The extension is actually based off of the transitive closure extension. You can use it on any existing SQLite database as long as you can wrangle your edges into either a real or virtual table and the node ids are integers (I'm planning on removing this constraint in the future).
[0]: https://github.com/abetlen/sqlite3-bfsvtab-ext
What are some alternatives?
kuzu - Embeddable property graph database management system built for query speed and scalability. Implements Cypher.
ulid-postgres
django-dbbackup - Management commands to help backup and restore your project database and media files
helicalinsight - Helical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.
rdflib-sqlalchemy - RDFLib store using SQLAlchemy dbapi as back-end
simple-graph - This is a simple graph database in SQLite, inspired by "SQLite as a document database"
ipfs-sqlite-block-store - SQLite based ipfs block store
ustore - Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
graphdb - sqlite based graph database for storing native python objects and their relationships to each other
dinamopy - Dinamopy is a python helper library for dynamodb. You can define your access patterns in a json file and can use dynamic method names to make operations.
graphdb-testing - Benchmarking various graph databases, engines, datastructures, and data stores.