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The premier cloud-based GIS platform for mapping, spatial analysis, and location-based data intelligence.

The extensible, Java-based open-source GIS for high-precision vector processing and spatial analysis.

OpenJUMP is a modular, open-source Geographic Information System (GIS) written in Java, built upon the Java Topology Suite (JTS). Originally stemming from the JUMP project by Vivid Solutions, it has evolved into a community-led powerhouse for spatial data manipulation. In the 2026 geospatial market, OpenJUMP maintains a strategic niche as a lightweight, developer-friendly alternative to heavy enterprise GIS suites. Its architecture is centered on a flexible plugin system, enabling users to extend core functionalities with custom Java code or BeanShell scripts. It is particularly renowned for its robust handling of GML (Geography Markup Language) and its precision in topology validation and cleaning. Its cross-platform nature ensures seamless operation across Windows, Linux, and macOS. While larger suites focus on cloud-native 3D rendering, OpenJUMP remains the preferred tool for technical analysts who require granular control over vector geometries, attribute schemas, and rapid algorithm prototyping within a Java-centric ecosystem. Its ability to interface directly with PostGIS, SpatiaLite, and Oracle Spatial makes it a vital component in modern data-engineering pipelines that involve spatial ETL (Extract, Transform, Load) tasks.
OpenJUMP is a modular, open-source Geographic Information System (GIS) written in Java, built upon the Java Topology Suite (JTS).
Explore all tools that specialize in perform spatial analysis. This domain focus ensures OpenJUMP GIS delivers optimized results for this specific requirement.
Explore all tools that specialize in topology validation. This domain focus ensures OpenJUMP GIS delivers optimized results for this specific requirement.
Direct implementation of JTS allows for 100% compliant OGC spatial predicates and functions.
Advanced GML2 and GML3 reading and writing capabilities including complex schema mapping.
An integrated scripting environment that allows for runtime execution of Java-based commands.
Access to over 200 geospatial algorithms for hydrological, statistical, and raster analysis.
Automated identification of self-intersections, gaps, and overlaps in vector datasets.
Extension suite for basic raster manipulation, including clipping and grid calculations.
Native connectors for PostGIS, MySQL, Oracle, and SpatiaLite with SQL query capabilities.
Verify installation of Java Runtime Environment (JRE) 8 or higher on the host machine.
Download the latest OpenJUMP stable or snapshot binary from the official SourceForge or GitHub repository.
Extract the compressed archive to a dedicated local directory (no installation required).
Execute the startup script ('oj_windows.bat' for Windows or 'openjump.sh' for Unix-based systems).
Adjust the memory heap size in the startup script (-Xmx parameter) to optimize for large dataset handling.
Configure the 'Connection Manager' to link external spatial databases like PostGIS or Oracle.
Access the 'PlugIn Manager' to install community extensions for raster analysis or specialized formats.
Import vector layers by dragging and dropping SHP or GML files into the workbench.
Set the Project Coordinate Reference System (CRS) using the 'Layer Properties' menu.
Utilize the 'Fence' tool to define specific regions of interest for batch processing.
All Set
Ready to go
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"Users praise its lightweight footprint and high-precision editing tools, though some find the UI dated compared to QGIS."
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