MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and stability.
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MySQLTuner is a script written in Perl that will assist you with your MySQL configuration and make recommendations for increased performance and stability.
A recommender system for GitHub repositories based on Gorse provides personalized recommendations and similar repositories
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
📚 LKs website recommendations — 303 curated sites from Bilibili creator LKs' Unbelievably Good Websites series
Ai Resume Analyzer is a tool which parses information from a resume using natural language processing and finds the keywords, cluster them onto sectors based on their keywords. And lastly show recommendations, predictions, analytics to the applicant based on keyword matching.
Python packaging made simple. Recommendations & guidance curated by the pyOpenSci community
Prometheus-based Kubernetes Resource Recommendations
Generate your next Rails app interactively! This template includes production-ready recommendations for testing, security, developer productivity, and modern frontends. Plus optional Vite support! ⚡️
This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadowing, dewarping, deblurring, binarization and so on.
2026 机场推荐清单 | 免费试用/性价比/专线/按量计费 | 40+机场实测 | 每月更新
A complete security skill suite for OpenClaw, Hermes, PicoClaw and NanoClaw agents (and variants). Protect your SOUL.md (etc') with drift detection, live security recommendations, automated audits, and skill integrity verification. All from one installable suite.
A CLI for BOSS 直聘 — search jobs, view recommendations, manage applications via reverse-engineered API
Claude Code plugin for designing modular systems from functional requirements and reviewing existing codebases for modularity problems with actionable improvement recommendations. Based on the Balanced Coupling model.
Skill, agent, MCP, and harness recommendations for Claude Code/custom LLMs: 102,928-node LLM-wiki graph, 91,464 skills, 467 agents, 10,790 MCPs, 207 harnesses, and capped execution recommendations.
Moat reviews the security posture of your GitHub organization and repositories, then surfaces recommendations to consider.