This Awesome DataScience repository collects learning material and resources about data science.
The Best Awesome Data Analysis Alternatives in 2026
Looking for something like Awesome Data Analysis? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 11 are open source.
Awesome Data Analysis collects more than 500 resources for data analysis and data science.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Awesome DataScience | — | Yes | — |
| 2 | Deep ML | — | Not stated | Web |
| 3 | Data Science Ipython Notebooks | — | Not stated | — |
| 4 | ggplot2: Elegant Graphics for Data Analysis | — | Not stated | Web |
| 5 | ML YouTube Courses | — | Yes | — |
| 6 | Zasper | — | Yes | — |
| 7 | OSSU Data Science | — | Not stated | — |
| 8 | Virgilio | — | Not stated | — |
| 9 | Coding Questions | — | Not stated | Web |
| 10 | R for Data Science | — | Not stated | Web |
All Awesome Data Analysis alternatives
Deep ML
deep-ml.comDeep-ML provides hands-on exercises in machine learning and data science fundamentals.
Data Science Ipython Notebooks
github.com/donnemartin/data-science-ipython-no…Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
ggplot2: Elegant Graphics for Data Analysis
ggplot2-book.org/index.htmlThis online, work-in-progress third edition explains data analysis and visualization with ggplot2.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
The Zasper project describes an IDE for working with Jupyter notebooks.
OSSU Data Science
github.com/ossu/data-scienceOSSU Data Science provides a free study path based on an undergraduate data science curriculum.
Virgilio
github.com/virgili0/VirgilioAn open-source initiative, Virgilio guides learners through data science resources and skill development.
Coding Questions
platform.stratascratch.com/codingStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
R for Data Science
r4ds.had.co.nzThe first edition of R for Data Science teaches data import, transformation, visualization, and modeling with R.
Virgilio
virgili0.github.io/VirgilioVirgilio organizes data science e-learning resources in a structured project overview.
Visualization.info
visualization.infoVisualization.info describes educational resources for data visualization, including lecture videos, tutorials, textbooks, and notes.
Developer Roadmap
github.com/kamranahmedse/developer-roadmapDeveloper Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.
ML Course Notes
github.com/dair-ai/ML-Course-NotesA collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
Awesome LeetCode Resources collects learning materials for data structures and algorithms and provides a newsletter link.
Roadmap
roadmap.shRoadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.
Hackr.io
hackr.ioHackr.io catalogs technology courses, projects, user-submitted resources, and learning topics.
Computer Science Lecture Links collects video lecture links for placement preparation, including C and data structures.
Awesome YouTubers collects channels that teach a range of subjects through video.
Awesome-Gamedev collects learning and reference material for developing games.
Awesome Certificates collects more than 200 free courses and over 20,000 hours of learning material.
awesome-system-design-resources provides free materials for learning system design and interview preparation.
awesome-low-level-design provides resources for learning low-level design and preparing for interviews.
OSSU Computer Science outlines a free, self-directed path for studying computer science.
Alternatives to similar tools
What is the best alternative to Awesome Data Analysis?
Are there open-source alternatives to Awesome Data Analysis?
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