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Dev tools · alternatives · 2026

QW

QuestDB is a database tool designed for developers who want to work with Python, Pandas, and SQL directly in Jupyter notebooks without installation. Launched in February 2023, it enables users to query and analyze data… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. QuestDB with Python, Pandas and SQL in a Jupyter notebook – no install launched in 2023; newer entries below may have overtaken it.

  1. 1
    QuestDB▲194

    Fastest open source database for time-series and analytics

    2020 · questdb.com · its alternatives →

  2. 2

    QuestDB live demo. Query three large datasets and more than 2 billion rows in milliseconds with SQL

    2020 · try.questdb.io · its alternatives →

  3. 3

    Interactive SQL database exploration in Python. Contribute to boydgreenfield/query development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  4. 4
    JupySQL▲115

    JupySQL is a SQL client for Jupyter

    2023 · its alternatives →

  5. 5

    I wrote a relational database management system (RDBMS) (sqlite clone) from scratch in pure Python.

    2023 · github.com · its alternatives →

  6. 6SA
  7. 7

    Through months of design, prototypes, and user tests we made a visual version of SQL - which has proven to enable 80% of business users to write complex quer…

    2020 · chartio.com · its alternatives →

  8. 8EA
  9. 9

    QuestDB is the open-source time-series database for demanding workloads: ultra-low latency, high throughput, tiered storage, and fast SQL on open formats.

    2019 · questdb.io · its alternatives →

  10. 10

    Data notebook built for speed, visibility, and collaboration

    2023 · its alternatives →

  11. 11

    Free browser-based SQL editor powered by DuckDB. Query and visualize CSV, JSON, Parquet and Arrow files locally or from remote URLs. No installation required.

    2024 · sql-workbench.com · its alternatives →

  12. 12

    PugSQL is a Python library for interacting with your database the way the gods intended.

    2019 · pugsql.org · its alternatives →

  13. 13TT

    Hi, my name is Anguel and I am one of the developers of WhoDB (https://github.com/clidey/whodb) I am not a fan of the dbeaver, beekeeper, adminer, etc experience because they are bloated, ugly, and at best okay but not great. Hence why I started working on WhoDB. The approach: - browser-based (chrome/firefox) - no bloat - jupyter notebook-like experience (Scratchpad) - built-in AI co-pilot with ollama (local) or openai/anthropic We just shipped query history and replay (time travel?) to the Scratchpad. Would love for you to check it out and give some feedback…

    2025 · its alternatives →

  14. 14DS

    2021 · django-sql-dashboard.datasette.io · its alternatives →

  15. 15

    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 · its alternatives →

  16. 16

    One year ago I open-sourced my very first 'real' project and shared it here. I was a college student in my senior year and desperately looking for a job. At the time of sharing it i couldn't even afford a domain and naively let someone buy the one i had my eyes on lol. It's been a hell of a year with this blowing up, me moving to another country, and switching 2 jobs. In a year we somehow managed to hit 26k stars, grow a 1000+ person discord community, and support 37 languages. I couldn't be more grateful for the community that helped this grow, but now i don't know what direction to take…

    2025 · drawdb.app · its alternatives →

  17. 17
  18. 18DU

    I built Duck-UI, a web-based SQL editor that runs DuckDB entirely in your browser via WebAssembly. No backend required. The Problem: Every time I needed to query csv, parquet, or even to play with SQL, I had to either: (a) spin up a Jupyter notebook (b) use the CLI (c) upload to a hosted service. Friction at every step (TOO MUCH to load a csv or even to test some sql (study)... The Solution: DuckDB's WASM runtime lets us run SQL analysis client-side. Load CSV/JSON/Parquet files from disk or URL, write SQL, get results instantly. Data stays on your machine. What It Does: SQL editor…

    2025 · demo.duckui.com · its alternatives →

  19. 19

    Contribute to akdor1154/python-csql development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  20. 20

    A lightweight database with Python syntax queries, using ZeroMQ - asrp/pyzdb

    2017 · github.com · its alternatives →

  21. 21

    Hiya HN! TextQuery is my sabbatical project that I have been working on for the past six months. It was born out of a personal pain point. Anytime I wanted to analyze raw CSV data, I had to create a schema first before I could import it for querying. And to create charts, I had to use yet another tool. I also disliked how bad charts from popular tools like Excel, Google Sheets looked like. I wanted an easier way to do this and TextQuery was my solution: an all-in-one tool to query CSV files using SQL and create beautiful visualizations as well. Currently, it's a macOS app and focused on CSV…

    2025 · textquery.app · its alternatives →

  22. 22HA

    Hi all, we recently open sourced the first version of Hashquery, a Python library which lets you model analytics, DRY up common logic, and execute it against a database or warehouse. We were originally rendering SQL directly for all our queries, but that spiraled out of control with more complex analysis; the SQL needed to be changed sporadically for each new database dialect (BigQuery, Redshift, Aethena, Postgres, etc etc) and the SQL fragments were very challenging to reuse (and so fragments were copy-pasted all over). ~~~ Advantages we think it has over writing SQL by hand: - Queries are…

    2024 · hashquery.dev · its alternatives →

  23. 23BA
  24. 24
    Cogram▲132

    Query databases in plain English

    2022 · cogram.com · its alternatives →

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