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Ape Data Transfer Suite, written in Rust. Provides ultra-fast data replication between MySQL, PostgreSQL, Redis, MongoDB, Kafka and ClickHouse, ideal for disaster recovery (DR) and migration scenar…
Fluss is a streaming storage built for real-time analytics.
A multi-platform proxy client based on ClashMeta,simple and easy to use, open-source and ad-free.
🐌 useful scripts for making developer's everyday life easier and happier, involved java, shell etc.
Apache Flink Kubernetes Operator
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
A type-safe HTTP client for Android and the JVM
Open-Source Web UI for Apache Kafka Management
1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java
基于 antlr4 的多种数据库SQL解析器，获取SQL中元数据，可用于数据平台产品中的多个场景：ddl语句提取元数据、sql 权限校验、表级血缘、sql语法校验等场景。支持spark、flink、gauss、starrocks、Oracle、MYSQL、Postgresql，sqlserver,、db2等
Podman: A tool for managing OCI containers and pods.
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
Literature references for “Designing Data-Intensive Applications”
Quickly find differences and similarities in disassembled code
基于JavaFx搭建的实用小工具集合，方便开发过程中的代码编写与调试，想学习javaFx的同学可以参考参考。其中包括文件复制、Cron表达式生成器、编码转换、加密解密、Time转换、路径转换、二维码生成工具、身份证生成器、正则表达式生成工具、网址缩短、转义字符、字符串转换、Mq调试工具、Http调试工具、json格式化编辑工具、图标生成工具、Redis连接工具、网页源码下载工具、切换Host…
Apache Amoro (incubating) is a Lakehouse management system built on open data lake formats.
Schema Evolution Manager makes it very simple for engineers to contribute schema changes to a postgresql database, managing the schema evolutions as proper source code. Schema changes are deployed …
🔥 Top-Rated Web-Based Linux Server Management Tool. 1Panel features an intuitive web interface that seamlessly integrates server management and monitoring, container management, database administra…
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The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.