Awesome List Updates on Nov 13, 2025

5 awesome lists updated today.

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1. Awesome Typescript

Awesome TypeScript Essential Resources

• 🎨 Visual Types Interactive visualizations of TypeScript concepts. Behold pretty colors.

2. Awesome Go

Database / SQL Query Builders

• didi/gendry (⭐1.6k) — a golang library for sql builder ☆1,639

Job Scheduler / Search and Analytic Databases

• pardnchiu/go-scheduler (⭐31) — Task scheduler with standard cron expressions ☆31

Miscellaneous / Project Layout

• lacion/cookiecutter-golang (⭐731) — A Go project template ☆730

Testing / Testing Frameworks

• madflojo/testcerts (⭐83) — Dynamically generate self-signed certificates and certificate authorities for Go tests ☆82

• abecodes/dft (⭐18) — Docker For Testing is a zero dependency wrapper around the docker command. ☆18

Utilities / Utility/Miscellaneous

• htcat/htcat (⭐556) — Parallel and Pipelined HTTP GET Utility ☆556

3. Awesome Mac

Developer Tools / Databases

• cmushroom/redis-pro (⭐673) — redis-pro is a simple and easy to use management of redis written in SwiftUI ☆673

4. Awesome Ai

Assistants / IDE extensions

• lgrammel/rubberduck-vscode (⭐631) — Use AI-powered code edits, explanations, code generation, error diagnosis, and chat in Visual Studio Code with the official OpenAI API. ☆631

Backend / Laravel

• opgginc/laravel-mcp-server (⭐324) — A Laravel package for implementing secure Model Context Protocol servers using Streamable HTTP and SSE transport, providing real-time communication and a scalable tool system for enterprise environments. ☆324

Gemini / Laravel

• Theopsguide/gemini-code-flow (⭐133) — AI-powered development orchestration for Gemini CLI - adapted from Claude Code Flow by ruvnet ☆133

5. Awesome Datascience

Comparison / Modern Data Mining Algorithms

• XGBoost (Extreme Gradient Boosting)

• LightGBM (Light Gradient Boosting Machine)

• CatBoost

• HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise)

• FP-Growth (Frequent Pattern Growth Algorithm)

• Isolation Forest

• Deep Embedded Clustering (DEC)

• TPU (Top-k Periodic and High-Utility Patterns)

• Context-Aware Rule Mining (Transformer-Based Framework)

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