sdk VS materials

Compare sdk vs materials and see what are their differences.


The Dart SDK, including the VM, dart2js, core libraries, and more. (by dart-lang)


Bonus materials, exercises, and example projects for our Python tutorials (by realpython)
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sdk materials
270 175
8,964 4,188
2.0% 2.2%
9.7 7.5
7 days ago 7 days ago
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of sdk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-02.


Posts with mentions or reviews of materials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-17.
  • How do I get started with ML?
    2 projects | | 17 Mar 2023
    Learn Python: Python is the most popular language for ML and AI projects. Start by learning the basics of Python, then move on to more advanced topics. Some great resources for learning Python include: Codecademy's Python course: Real Python: Mathematics: A solid understanding of mathematics, particularly linear algebra, calculus, probability, and statistics, is essential for ML. Here are some resources to help you learn: Khan Academy courses: Linear Algebra: Calculus: Probability and Statistics: 3Blue1Brown's YouTube series on Linear Algebra: Data processing and manipulation: Familiarize yourself with popular Python libraries for data manipulation and analysis, such as NumPy, pandas, and matplotlib: NumPy: pandas: matplotlib: Machine learning concepts: Learn about the basic concepts of ML, including supervised learning, unsupervised learning, and reinforcement learning. Some great resources include: Coursera's Machine Learning course by Andrew Ng: Google's Machine Learning Crash Course:'s Practical Deep Learning for Coders course: Deep learning libraries: Get familiar with popular deep learning libraries such as TensorFlow and PyTorch: TensorFlow: PyTorch: Specialize and work on projects: Choose an area of interest (such as natural language processing, computer vision, or reinforcement learning), and start working on projects to apply your skills. You can find datasets and project ideas from sources like: Kaggle: Papers With Code: Stay up-to-date and join the community: Follow ML blogs, podcasts, and conferences to stay current with the latest developments. Join ML communities and forums like r/MachineLearning on Reddit, AI Stack Exchange, or specialized Discord and Slack groups.
  • FLOSSing for Lent 12/40 - Python
    2 projects | | 7 Mar 2023
    Real Python - A great place to learn python
  • Donde aprender Python POSTA?
    4 projects | | 24 Feb 2023
  • Best websites to give me tasks?
    2 projects | | 23 Feb 2023
    There's many popular Python educational blogs out there. You can check out RealPython, PythonAlgos, LearnPython, and many more.
  • GitHub - antedoro/arberia: Arberia Theme is a fully responsive tech-blogger theme for Hugo with 4 single post layout!
    2 projects | | 30 Jan 2023
    Question - Was this theme created by/for and they've decided to open source it?
  • Pythont tanulni ?
    2 projects | | 30 Jan 2023
  • Best Communities For Developers To Join
    5 projects | | 25 Jan 2023
    The Real Python is one of the most valuable resources for any budding Python developer — housing thousands of professional video lessons and tutorials on every aspect of the popular programming language.
  • Best resources to study Python
    5 projects | | 24 Jan 2023
  • Data Science - Que curso online recomendam para Python e Machine Learning?
    2 projects | | 16 Jan 2023
  • Discussion Thread
    2 projects | | 9 Jan 2023
    Real Python

What are some alternatives?

When comparing sdk and materials you can also consider the following projects:

learnxinyminutes-docs - Code documentation written as code! How novel and totally my idea!

obs-websocket - Remote-control of OBS Studio through WebSocket

asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more

flutterfire - 🔥 A collection of Firebase plugins for Flutter apps.

starter_architecture_flutter_firebase - Time Tracking app with Flutter & Firebase

Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond - Issue tracker for Codewars

missing-semester - The Missing Semester of Your CS Education 📚

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

Dart-Code - Dart and Flutter support for VS Code

language - Design of the Dart language