binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- Stars
- 75k
- Forks
- 7.2k
- Open issues
- 0
- Last push
- 9mo ago
About awesome-scalability
awesome-scalability is a free, open-source AI resource list by binhnguyennus. The Patterns of Scalable, Reliable, and Performant Large-Scale Systems. It has 75k GitHub stars and 7.2k forks, and was last updated 9mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- –
- Stars
- 74,990
- Last update
- 9mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code37k stars · 500 AI Machine learning Deep learning Computer vision NLP Projects with code
API-mega-list8.1k stars · This GitHub repo is a powerhouse collection of APIs you can start using immediately to build everything from simple automations to full-scale applications. One of the most valuable API lists on GitHub
h4cker30k stars · This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vu
anomaly-detection-resources9.4k stars · Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
yt-channels-DS-AI-ML-CS1.7k stars · A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
kaggle-solutions6.5k stars · 🏅 Collection of Kaggle Solutions and Ideas 🏅
awesome-scalability FAQ
Is awesome-scalability free?
Yes. awesome-scalability is open source and free to use. It's released under the MIT license, a standard open-source license.
Does awesome-scalability run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-scalability need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-scalability still maintained?
It was last updated 9mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to awesome-scalability?
Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, API-mega-list, h4cker, anomaly-detection-resources.