Contributing to open source is an excellent way to enhance your coding skills, expand your network with developers, and build real-world projects.
Whether you’re a beginner or an advanced coder,
Here are some top open-source projects categorized by difficulty, with their pros, GitHub stars, and links!
1. First Contributions
🔹 A repository to help you make your first GitHub contribution
✅ Pros: Simple, beginner-focused, great for learning Git
⚡ Difficulty: ⭐ (Very Easy)
⭐ GitHub Stars: 40K+
🔗 GitHub Repo
2. EddieHubCommunity
🔹 A beginner-friendly community-driven project for networking & learning open source
✅ Pros: Active community, great mentorship, beginner challenges
⚡ Difficulty: ⭐⭐ (Easy)
⭐ GitHub Stars: 5K+
🔗 GitHub Repo
3. Web Dev Simplified Projects
🔹 Collection of small web development projects (HTML, CSS, JavaScript)
✅ Pros: Hands-on frontend projects, great for practice
⚡ Difficulty: ⭐⭐ (Easy)
⭐ GitHub Stars: 7K+
🔗 GitHub Repo
4. Appwrite
🔹 Self-hosted backend for web & mobile apps (like Firebase but open-source)
✅ Pros: Modern stack, scalable, great for learning backend APIs
⚡ Difficulty: ⭐⭐⭐ (Intermediate)
⭐ GitHub Stars: 40K+
🔗 GitHub Repo
5. React Query
🔹 Powerful state management for React apps
✅ Pros: Great for React projects, high demand in the industry
⚡ Difficulty: ⭐⭐⭐ (Intermediate)
⭐ GitHub Stars: 40K+
🔗 GitHub Repo
6. OpenCV
🔹 Computer Vision Library (used in AI, ML, robotics, and image processing)
✅ Pros: High demand, used in AI, real-world applications
⚡ Difficulty: ⭐⭐⭐⭐ (Hard)
⭐ GitHub Stars: 70K+
🔗 GitHub Repo
7. Rocket
🔹 A fast Rust-based web framework
✅ Pros: Cutting-edge Rust framework, high-performance
⚡ Difficulty: ⭐⭐⭐⭐ (Hard)
⭐ GitHub Stars: 20K+
🔗 GitHub Repo
8. TensorFlow
🔹 Google’s AI/ML framework used in deep learning
✅ Pros: Industry standard, great for AI enthusiasts
⚡ Difficulty: ⭐⭐⭐⭐⭐ (Very Hard)
⭐ GitHub Stars: 180K+
🔗 GitHub Repo
Writer : Bhuwan Chettri