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Life & fun · alternatives · 2026

24 alternatives to Python for Data Analysis

Pandas is the most common python library for data analytics

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Python for Data Analysis launched in 2016; newer entries below may have overtaken it.

  1. 1BA
  2. 2HT
  3. 3CA
  4. 4
  5. 5CM
  6. 6

    Build data wealth: Turns files into McKinsey-level insights

    Jan 2026 · pandada.ai · its alternatives →

  7. 7

    Learning machine learning has never been easier

    2017 · its alternatives →

  8. 8

    Exploratory analysis you can share

    2016 · its alternatives →

  9. 9
    Taipy 3.0▲304

    Build powerful data and AI apps in pure Python

    2024 · github.com · its alternatives →

  10. 10

    Online Data Science Training Certificate

    2024 · blog.consoleflare.com · its alternatives →

  11. 11

    A curation of free data science resources

    2023 · datapen.io · its alternatives →

  12. 12AL
  13. 13
    Lookup▲103

    Analyze your data in seconds with AI

    2023 · its alternatives →

  14. 14IM
  15. 15
    Magniv▲100

    One line data science infra, Open-Source Python library

    2022 · its alternatives →

  16. 16
    Dataquest▲139

    Online data science and programming training

    2019 · its alternatives →

  17. 17

    E-book for data addicts. Sneak peek into data analysts work.

    2016 · its alternatives →

  18. 18BV
  19. 19HA

    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 →

  20. 20

    I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…

    2022 · benchmark.clickhouse.com · its alternatives →

  21. 211P
  22. 22

    Automated status reports

    2015 · its alternatives →

  23. 23GP
  24. 24DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →