Alternatives

Products that do what JupySQL does

JupySQL is a SQL client for Jupyter

1. 1
   QuickQuery - NoSQL database manager▲145

   Seamlessly convert any database into Excel report

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2. 2
   SQL Chat▲166

   ChatGPT powered SQL client for Postgres, MySQL & SQL Server

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3. 3SS
   SPyQL – SQL with Python in the middle▲105

   SPyQL (https://github.com/dcmoura/spyql) is SQL with Python in the middle, an open-source project fully written in Python for making command-line data processing more intuitive, readable and powerful. Try mixing in the same pot: a SQL SELECT for providing the structure, Python expressions for defining transformations and conditions, the essence of awk as a data-processing language, and the JSON handling capabilities of jq. How does a SPyQL query looks like? $ spyql “ IMPORT pendulum AS p SELECT (p.now() - p.from_timestamp(purchase_ts)).in_days() AS days_ago, sum_agg(price…

   2022 · github.com

4. 4CP
   Csql – Python lib for composeable SQL queries▲89

   2020 · github.com

5. 5
   SQL Playground▲128

   Powerful online SQL sandbox

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6. 6JR
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   2020 · starboard.gg

7. 7
   ClaySQL▲141

   Run SQL queries directly in Google Sheets

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8. 8BS
   Beekeeper Studio – open-source, cross-platform SQL client▲343

   2020 · beekeeperstudio.io

9. 9
   Anyquery▲110

   Query anything with SQL (e.g. Notion, GitHub, JSON)

   2024

10. 10
    TurboSQL▲120

    Blazing-fast, AI-powered SQL desktop app

    2025

11. 11
    soarSQL▲98

    The analytical SQL editor - powered by duckDB

    2025

12. 12
    PopSQL▲215

    Collaborative SQL editor to write, run, and share queries

    2017

13. 13
    DrawSQL▲246

    Better entity relationship diagrams for your database

    2018

14. 14
    BlazeSQL▲170

    ChatGPT for your SQL database

    2023

15. 15
    ShapedQL▲211

    The SQL engine for search, feeds, and AI agents

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

    2019 · pugsql.org

17. 17
    RCE-Blog▲98

    Jupyter Notebooks for the web

    2022

18. 18SI
    Simple interactive SQL exploration with IPython/Pandas▲22

    2014 · github.com

19. 19
    AI2sql 2.0▲189

    Converse with your data in natural language

    2023

20. 20
    TABLUM.IO▲159

    Turn CSV, XML & JSON into a live analysis-ready SQL database

    2023

21. 21
    Jupyter Notebook Scheduler▲88

    Run your Jupyter notebooks on a schedule with three clicks

    2019

22. 22PA
    Pydb – a lightweight database with Python syntax queries, using ZeroMQ▲130

    2017 · github.com

23. 23
    JQL by Mixpanel▲96

    A powerful new query language to analyze your data

    2016

24. 24
    SeekWell▲81

    Write SQL and run analytics in Google Sheets

    2017

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