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.
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Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
2019 · towardsdatascience.com · its alternatives →
- 2BA
2019 · bamboolib.com · its alternatives →
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Data Science and Python, starting at zero
2015 · joelgrus.com · its alternatives →
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How to think about data
2015 · amazon.com · its alternatives →
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Pandada AI▲620Build data wealth: Turns files into McKinsey-level insights
Jan 2026 · pandada.ai · its alternatives →
- 6DP
2017 · diva.readthedocs.io · its alternatives →
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Learning machine learning has never been easier
2017 · amazon.com · its alternatives →
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Pythonbooks ranks the best Python books for beginners, intermediate programmers and 15 different specializations.
2017 · pythonbooks.org · its alternatives →
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Online Data Science Training Certificate
2024 · blog.consoleflare.com · its alternatives →
- 12PN
The source for financial, economic, and alternative datasets, serving investment professionals.
2013 · quandl.com · its alternatives →
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Find static code analysis tools and linters for Java, JavaScript, PHP, Python, Ruby, C/C++, C#, Go, Swift, and more. All tools and linters are peer-reviewed by fellow developers to select the best tools available. Avoid bugs in production, outages on weekends, and angry customers.
2020 · analysis-tools.dev · its alternatives →
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:panda_face: Bringing the python data stack to the shell prompt - robdmc/pandashells
2015 · github.com · its alternatives →
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Applied Econometrics Library for Python. Contribute to mfarragher/appelpy development by creating an account on GitHub.
2019 · github.com · its alternatives →
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E-book for data addicts. Sneak peek into data analysts work.
2016 · data36.com · its alternatives →
- 21HA
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 →
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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 →
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Contribute to freeradical13/ValueBasedPrioritization development by creating an account on GitHub.
2019 · github.com · its alternatives →
- 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 →