dbeaver/dbeaver-common
dbeaver/dbeaver-common has 28 GitHub stars and 48 forks. GitHot measured 0 in 7 days. Last checked 2026-11-10 19:59 UTC. Last push 2026-10-31.
Common utils and dependencies for all DBeaver projects
Measured star growth
- in 24h
- Update delayed
- in 7 days
- 0
- in 15 days
- Update delayed
- in 1 month
- Update delayed
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalDBeaver Common
Common utils and dependencies for all DBeaver projects
This repository is a requirement for the following products:
It must be checked out in the same directory where the main repository is located.
What is inside:
- root: root Maven module for all projects. Defines base properties and dependencies (such as Tycho)
- modules: base Java utilities
Modules:
org.jkiss.utils
Various utilities (similar to Apache Commons and Google Guava).
Maven:
<dependency>
<groupId>com.dbeaver.common</groupId>
<artifactId>org.jkiss.utils</artifactId>
<version>2.5.0</version>
</dependency>
com.dbeaver.jdbc.api
Base module for custom JDBC drivers development.
Contains utility classes and classes implementing JDBC interfaces for
driver, connection, statements, result sets and metadata read.
Maven:
<dependency>
<groupId>com.dbeaver.common</groupId>
<artifactId>com.dbeaver.jdbc.api</artifactId>
<version>2.5.0</version>
</dependency>
com.dbeaver.rpc
Simple RPC client-server implementation.
Maven:
<dependency>
<groupId>com.dbeaver.common</groupId>
<artifactId>com.dbeaver.rpc</artifactId>
<version>2.5.0</version>
</dependency>
Explore related projects
Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,560 starsgrafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
77,830 starsredis/redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
77,395 starsapache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
75,473 stars