Dev tools · alternatives · 2026
24 alternatives to Open-Source Data Science Frameworks:
How to Use Them in Software Projects?
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Open-Source Data Science Frameworks: launched in 2020; newer entries below may have overtaken it.
- 1
Everyday Data Science. A book about using data science to solve day-to-day problems. It is a collection of stories, jokes, pictures, math, and code all designed to inspire future data professionals. We make decisions everyday, but often times we don
2021 · andrewnc.github.io · its alternatives →
- 2
The Open Source Data Science Masters. Contribute to datasciencemasters/go development by creating an account on GitHub.
2014 · github.com · its alternatives →
- 31G
2020 · cloud.blobcity.com · its alternatives →
- 4
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com · its alternatives →
- 5SP
Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…
2020 · its alternatives →
- 6
How product teams use data to drive product-led growth
2020 · ae3888.host · its alternatives →
- 7
- 8DA
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 →
- 9
- 10
Trends and data from 9 tech firms
2018 · codingsans.com · its alternatives →
- 11
Data Science Dashboard for project management & development
2022 · andysnotion.gumroad.com · its alternatives →
- 12
Open Source Feature Flags, Experimentation, and Product Analytics - growthbook/growthbook
2021 · github.com · its alternatives →
- 13
When startups should use data science and how
2016 · cf-media.sndcdn.com · its alternatives →
- 14
Latest trends on database tech, tools, and industry data.
2022 · stateofdb.com · its alternatives →
- 15
Latest software development trends
2020 · codingsans.com · its alternatives →
- 16
Must haves for a Data Scientist
2016 · simplilearn.com · its alternatives →
- 17
With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.
2022 · opendatadiscovery.org · its alternatives →
- 18
Python dev to an NLP data scientist with practical projects
2022 · its alternatives →
- 19
How to think about data
2015 · amazon.com · its alternatives →
- 20
- 21
Latest trends on hiring tech and more
2019 · codingsans.com · its alternatives →
- 22
We specialize in bringing data science, machine learning, and artificial intelligence projects to life through thoughtful design and rigorous engineering. We collaborate with top organizations to design, build, and deploy custom products and solutions.
2017 · strong.io · its alternatives →
- 23
UpScored▲140Introducing you to your next career move–using data science.
2016 · upscored.com · its alternatives →
- 24MO
Hey HN! We are https://www.magniv.app/ - Magniv is a platform to enable data scientists to autonomously create, deploy, and maintain data applications within existing infra pipelines. That is, reduce data science reliance on data engineers in mature data organizations. While living between both worlds of software engineering and data science, we have seen a lack of mature organizational tooling for data scientists. Data teams either require embedded data engineers or companies are forced to find a unicorn full-stack data software engineer to hire. On top of that, the tooling…
2022 · magniv.app · its alternatives →
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- State of Product Analytics Report alternatives
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 →