Lists (17)
Sort Name ascending (A-Z)
- All languages
- Astro
- Batchfile
- Bicep
- C
- C#
- C++
- CSS
- Clojure
- CodeQL
- CoffeeScript
- D
- Dart
- Dockerfile
- EJS
- Emacs Lisp
- Gherkin
- Go
- Groovy
- HTML
- Haml
- Haskell
- Java
- JavaScript
- Jupyter Notebook
- Kotlin
- Lua
- MDX
- Makefile
- Markdown
- Mustache
- OCaml
- Objective-C
- Objective-C++
- Open Policy Agent
- Pascal
- Perl
- PowerShell
- Python
- Roff
- Ruby
- Rust
- SCSS
- SVG
- Scala
- Scheme
- Shell
- SourcePawn
- Starlark
- Swift
- Tcl
- TeX
- TypeScript
- Vim Script
- Vue
- WebAssembly
- Zig
Starred repositories
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
AI Powered Github Profile analyzer or analyser and reviewer tool. Gives review based on first 100 repos and only includes those forks in which user has contributions to avoid fake results | #1 Prof…
Umami is a modern, privacy-focused analytics platform. An open-source alternative to Google Analytics, Mixpanel and Amplitude.
This is the playbook for "code-with" customer or partner engagements
Makes timecodes clickable, if there was a video URL mentioned earlier in Obsidian note
Allure Report action with history
Reporter for WebdriverIO that makes videos of failed tests and has optional allure integration
Find out which of your dependencies are slowing you down 🐢
A beautiful yet powerful syntax highlighter
GitHub Actions for GitHub Pages 🚀 Deploy static files and publish your site easily. Static-Site-Generators-friendly.
A WebdriverIO service for end-to-end testing Obsidian plugins
A minimal, accessible and SEO-friendly Astro blog theme
Learn to build remarkably fast websites with Astro ✨
Delve is a debugger for the Go programming language.
Learn Go with test-driven development
Learn ML engineering for free in 4 months! Register here 👇🏼
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…
Making Docker and Kubernetes management easy.
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
Pure Python 3 MTProto API Telegram client library, for bots too!
Greenshot for Windows - Report bugs & features go here: https://greenshot.atlassian.net or look for information on:
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.