Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Apijson | 16,698 | a month ago | 251 | other | Java | |||||
🏆 零代码、全功能、强安全 ORM 库 🚀 后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构。 🏆 A JSON Transmission Protocol and an ORM Library 🚀 provides APIs and Docs without writing any code. | ||||||||||
Ebean | 1,428 | 100 | 32 | 5 months ago | 113 | August 02, 2016 | 78 | apache-2.0 | Java | |
Ebean ORM | ||||||||||
Gnomock | 1,250 | 38 | 7 months ago | 111 | August 26, 2023 | 24 | mit | Go | ||
Test your code without writing mocks with ephemeral Docker containers 📦 Setup popular services with just a couple lines of code ⏱️ No bash, no yaml, only code 💻 | ||||||||||
Datacap | 793 | 2 months ago | 55 | apache-2.0 | Java | |||||
DataCap is integrated software for data transformation, integration, and visualization. Support a variety of data sources, file types, big data related database, relational database, NoSQL database, etc. Through the software can realize the management of multiple data sources, the data under the source of various operations conversion ... | ||||||||||
Transformalize | 153 | 19 | 45 | 5 months ago | 49 | April 18, 2019 | 7 | other | C# | |
Configurable Extract, Transform, and Load | ||||||||||
Db2es | 148 | 2 years ago | apache-2.0 | Java | ||||||
同步数据库到数据到ES sync data from database to es | ||||||||||
Db Elasticsearch Tool | 144 | 5 months ago | 1 | apache-2.0 | Java | |||||
一个数据库导入Elasticsearch工具,支持的数据库: mysql,maridb,postgress,oracle ,sqlserver,db2等 支持的Elasticsearch版本: 1.x,2.x,5.x,6.x,+ 支持海量PB级数据同步导入功能 使用参考文档 https://esdoc.bbossgroups.com/#/db-es-tool | ||||||||||
Database Oop | 104 | 3 years ago | 6 | Java | ||||||
结构化数据存储系统的面向对象封装 | ||||||||||
Aspnetcorenlog | 49 | 4 years ago | 3 | mit | C# | |||||
ASP.NET Core NLog MS SQL Server PostgreSQL MySQL Elasticsearch | ||||||||||
Sqltop | 32 | 1 | 5 years ago | 5 | August 03, 2019 | mit | JavaScript | |||
Find the most resource consuming SQL Server queries. |