HandSonic/acme.sh
A pure Unix shell script implementing ACME client protocol
A pure Unix shell script implementing ACME client protocol
Kingbase CDC connector adapted to Debezium 3.6, with upstream Gitee history and source provenance
Dameng Connector 是一个专门为达梦数据库(DM Database)设计的变更数据捕获(CDC)解决方案。该项目通过扩展 Debezium 和 Flink CDC,实现了对达梦数据库的实时数据变更监控、捕获和处理能力,为数据集成、数据同步、实时分析等场景提供强大支持。
实战 SRC / 众测 / Bug bounty 漏洞挖掘 Claude Code skill — 19 个攻击类 playbook、305 个结构化 payload、263 个 WAF/EDR 绕过、2887 份 HackerOne 真实案例、88,636 WooYun 案例统计
AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
New Guise
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. 🍥
Local-first AI token usage & cost tracker for 28 coding tools incl. Claude Code, Codex, Cursor, Gemini & Qoder—with native apps. Never reads prompts.
基于 Tauri、React 和 Arco Design 的服务器管理客户端
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
A Cloudflare-based email service | 基于 Cloudflare 的邮箱服务 | Cloudflare Email 邮箱 Mail
The Non-Sucking Service Manager https://nssm.cc/
20MB, lightweight, cross-platform database client. Supports MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, SQL Server and more.20MB,轻量级跨平台数据库客户端、数据库管理工具。支持 MySQL、PostgreSQL、SQLite、Redis、MongoDB、DuckDB、ClickHouse、SQL Server 等。
Rust-based platform for the Web
Provides legacy browsers support for the production build with SWC
How To Ask Questions The Smart Way 《提问的智慧》简体中文版
自动抢票软件 CP31 哔哩哔哩 会员购 BW 漫展 脚本 抢票 |超级简单易用的哔哩哔哩会员购自动抢票工具,基于Rust开发的异步多线程高性能抢票软件。
Pentaho Data Integration ( ETL ) a.k.a Kettle
Dump Android Payload from full OTA URL
Auto-scrubbing of articles and auto-likes in discourse