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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🏡 Open source home automation that puts local control and privacy first.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go
A community-supported supercharged document management system: scan, index and archive all your documents
A book-in-progress about the Linux kernel and its insides.
Universal Command Line Interface for Amazon Web Services
An orchestration platform for the development, production, and observation of data assets.
Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
TinyDB is a lightweight document oriented database optimized for your happiness :)
The tiniest PaaS you've ever seen. Piku allows you to do git push deployments to your own servers.
📚 A curated list of papers for Software Engineers
Flagsmith is an open source feature flagging and remote config service. Self-host or use our hosted version at https://app.flagsmith.com.
PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which…
Take potentially dangerous PDFs, office documents, or images and convert them to safe PDFs
Ethereum Proof-of-Stake Consensus Specifications
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment