Alternatives

Products that do what Python and Oracle Berkley Database and Graph = AjguDB does

1. 1SG
   Simple-graph – a graph database in SQLite▲237

   2020 · github.com

2. 2GP
   Grafito – Portable, Serverless and Light SQLite-Based Graph Database▲110

   2021 · github.com

3. 3TA
   TerminusDB – An open source in-memory graph database▲231

   2020 · terminusdb.com

4. 4GD
   Graph Database written in Python using wiredtiger with Gremlin querying▲23

   2016 · github.com

5. 5
   GrapheneDB▲121

   Graph databases as-a-service

   2014

6. 6VD
   Visualize database schemas with a single query▲227

   Hey HN! We are Jonathan & Guy, and we are happy to share a project we’ve been working on. ChartDB is a tool to help developers and data analysts quickly visualize database schemas by generating ER diagrams with just one query. A unique feature of our product is AI-Powered export for easy migration. You can give it a try at https://chartdb.io and find the source code on GitHub. Next steps ---> More AI. We’d love feedback :)

   2024 · github.com

7. 7GG
   Graphene – GraphQL framework for Python▲106

   2016 · graphene-python.org

8. 8PA
   Pydb – a lightweight database with Python syntax queries, using ZeroMQ▲130

   2017 · github.com

9. 9TF
   Try FaunaDB's GraphQL API▲42

   2019 · fauna.com

10. 10EA
    EasyDB – A One-Click Ephemeral Database▲158

    2019 · easydb.io

11. 11GF
    GraphQL for Postgres▲195

    2015 · github.com

12. 12NA
    Nebula – a distributed graph database written in C++▲178

    2020 · github.com

13. 13BA
    Bamboolib – A GUI for Pandas (Python Data Science)▲119

    2019 · bamboolib.com

14. 14HO
    HelixDB – Open-source vector-graph database for AI applications (Rust)▲237

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com

15. 15CA
    ChartDB Agent – Cursor for DB schema design▲130

    Last year we launched ChartDB OSS (https://news.ycombinator.com/item?id=44972238) - an open-source tool that generates ER diagrams from your database (via query/sql/dbml) without needing direct DB access. Now we’re launching the ChartDB Agent. It helps you design databases from scratch or make schema changes with natural language. You can: - Generate schemas by simply describing them in plain English - Brainstorm new tables, columns, and relationships with AI - Iterate visually in a diagram (ERD) - Deterministically export SQL script Try it out here -…

    Oct 2025 · app.chartdb.io

16. 16PA
    PugSQL, a Python Port of HugSQL▲155

    2019 · pugsql.org

17. 17GQ
    GraphQL Queries with React and GUN, the Graph Database▲37

    2017 · github.com

18. 18AJ
    A JavaScript Tool for Database Diagramming▲75

    2016 · github.com

19. 19GJ
    Graphql-java – A complete Java implementation of the GraphQL spec▲65

    2015 · github.com

20. 20GP
    Graph Processing with Postgres and GraphBLAS▲106

    2019 · github.com

21. 21FC
    Flexible command line tool to create graphs from CSV data▲95

    2018 · github.com

22. 22HA
    HugeGraph – An open source fast and highly scalable graph database▲98

    2018 · github.com

23. 23LT
    Linkurious, the first data visualization platform for graph databases▲86

    2015 · linkurio.us

24. 24BA
    BerylDB – a small key-value database▲57

    2021 · docs.beryl.dev

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