Developer Roadmap
github.com/kamranahmedse/developer-roadmapDeveloper Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.
Looking for something like Roadmap? 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 5 are open source.
Roadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Developer Roadmap | — | Not stated | Linux |
| 2 | Hackr.io | — | Not stated | Linux, Web |
| 3 | Deep ML | — | Not stated | Web |
| 4 | GeeksforGeeks | — | Not stated | Linux, Web |
| 5 | Handson ML3 | — | Yes | — |
| 6 | Algorithms-Cheatsheet-Resources | — | Yes | — |
| 7 | Machine Learning Roadmap | — | Not stated | Web |
| 8 | Virgilio | — | Not stated | — |
| 9 | Codelabs | — | Not stated | Android, iOS, Web |
| 10 | ggplot2: Elegant Graphics for Data Analysis | — | Not stated | Web |
Developer Roadmap provides interactive roadmaps, guides, articles, and educational content for developers.
Hackr.io catalogs technology courses, projects, user-submitted resources, and learning topics.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
GeeksforGeeks provides programming tutorials, courses, interview preparation, and data structure practice.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Algorithms Cheatsheet Resources collects reference material for programming and algorithms.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
Google Codelabs provides guided, hands-on tutorials for building applications and adding features across developer technologies.
This online, work-in-progress third edition explains data analysis and visualization with ggplot2.
Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.
Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Awesome Data Analysis collects more than 500 resources for data analysis and data science.
ProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence.
This programming learning resource organizes links by language and subject, including web development, databases, and game development.
StrataScratch 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.
Scientific Python Lectures is a set of learning materials about Python for scientific computing.
Learn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
Machine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
Deep Learning Drizzle collects readings and notes about deep learning for study.
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