Algorithms Cheatsheet Resources collects reference material for programming and algorithms.
The Best GeeksforGeeks Alternatives in 2026
Looking for something like GeeksforGeeks? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 6 are open source.
GeeksforGeeks provides programming tutorials, courses, interview preparation, and data structure practice.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Algorithms-Cheatsheet-Resources | — | Yes | — |
| 2 | cs-video-courses | — | Not stated | — |
| 3 | CSRankings | — | Not stated | Web |
| 4 | Developer Roadmap | — | Not stated | Linux |
| 5 | Awesome YouTubers | — | Yes | — |
| 6 | Roadmap | — | Not stated | Android, iOS, Linux |
| 7 | awesome-system-design-resources | — | Yes | — |
| 8 | System Design 101 | — | Not stated | — |
| 9 | SEE | Free | Not stated | Web |
| 10 | CS Circles | — | Not stated | Web |
All GeeksforGeeks alternatives
cs-video-courses
github.com/Developer-Y/cs-video-coursesThe cs-video-courses list links to computer science courses that include video lectures for learners.
CSRankings
csrankings.orgCSRankings lists computer science research rankings and accepts support from visitors.
Developer Roadmap
github.com/kamranahmedse/developer-roadmapDeveloper Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.
Awesome YouTubers collects channels that teach a range of subjects through video.
Roadmap
roadmap.shRoadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.
awesome-system-design-resources provides free materials for learning system design and interview preparation.
System Design 101
github.com/ByteByteGoHq/system-design-101System Design 101 explains complex systems with visuals and plain language for interview preparation.
Stanford Engineering Everywhere offers online courses and materials, including computer science, artificial intelligence, and electrical engineering.
CS Circles
cscircles.cemc.uwaterloo.caCS Circles offers Python tutorials and introductory guidance for people beginning to program.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Interview University
github.com/jwasham/coding-interview-universityA computer science study plan, Interview University helps learners prepare for software engineering roles.
This repository implements JavaScript algorithms and data structures, with explanations and links for further reading.
Tpoint Tech
tpointtech.comTpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
TeachYourselfComputerScience
teachyourselfcs.comTeach Yourself Computer Science curates resources for building a broad, self-directed computer science education.
Papers We Love
paperswelove.orgPapers We Love brings together academic computer science papers and a community of readers with local chapters.
learncs.online
learncs.onlineLearnCS.online provides interactive lessons for learning Java and Kotlin.
Code.org
code.orgCode.org, now CodeAI, provides free K–12 curriculum and tools for teaching digital fluency, computer science, and AI.
The Borr Project
borr.dev/computer-scienceThe Borr Project builds a broad computer science curriculum from online materials for foundational study.
This repository curates learning resources for software engineers, including material for people exploring programming topics.
CS Academy
csacademy.comCS Academy provides educational material and activities for learning computer science.
CollegeComendium
collegecompendium.orgCollegeComendium offers a curated collection of learning materials for self-paced study.
Runestone Interactive
runestone.academyRunestone Academy provides free online textbooks for mathematics and computer science.
Coding Questions
platform.stratascratch.com/codingStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
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