Awesome YouTubers collects channels that teach a range of subjects through video.
The Best ProjectLearn Alternatives in 2026
Looking for something like ProjectLearn? 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 9 are open source.
ProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Awesome YouTubers | — | Yes | — |
| 2 | PICO-8 | — | Not stated | Web |
| 3 | Game Math | — | Not stated | Web |
| 4 | From Zero To Hero | — | Not stated | Web |
| 5 | Learn Gamedev | — | Yes | — |
| 6 | MagicTools | — | Yes | — |
| 7 | Awesome-Gamedev | — | Yes | — |
| 8 | Handson ML3 | — | Yes | — |
| 9 | Coding Questions | — | Not stated | Web |
| 10 | mlsysbook | Free | Not stated | Web |
All ProjectLearn alternatives
PICO-8
mboffin.itch.io/pico8-educational-toolsetThe PICO-8 Educational Toolset collects game cartridges designed to teach different game development concepts.
Game Math
gamemath.com/book/intro.htmlThe online edition of 3D Math Primer for Graphics and Game Development introduces mathematics used in graphics and game development.
From Zero To Hero
therealpenaz91.itch.io/2dgd-f0thFrom Zero to Hero collects community knowledge about 2D game development.
A curated collection of resources supports learning game development, from introductory material to further study.
A curated list collects game development resources for people exploring tools and techniques.
Awesome-Gamedev collects learning and reference material for developing games.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Coding Questions
platform.stratascratch.com/codingStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
Deep ML
deep-ml.comDeep-ML provides hands-on exercises in machine learning and data science fundamentals.
Machine Learning Roadmap
rentry.org/machine-learning-roadmapThis machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
ML Visualized
ml-visualized.comMachine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
Codecademy's Data Science
codecademy.com/learn/paths/data-scienceCodecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
Everything AI/ML
viveknaskar.github.io/everything-ai-mlThis curated AI and machine learning guide organizes over 228 learning resources across 30 sections.
Machine Learning for Software Engineers
github.com/ZuzooVn/machine-learning-for-softwa…A daily study plan for people working toward becoming machine learning engineers.
A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.
Mallet
mimno.github.io/Mallet/indexMallet provides machine learning tools for language processing, according to its project title.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
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.
ML Engineering
github.com/stas00/ml-engineeringThis open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
LearnAIFromScratch
learnaifromscratch.github.ioLearn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.
Alternatives to similar tools
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