Search Results for "java html parser"
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Showing 10 open source projects for "java html parser"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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LGML
LGPL GML parser
...The library is compiled using Java 1.5 or 1.6. For now, supported inputs are: LineString, MultiLineString, MultiPoint, MultiPolygon, Point, Polygon, MultiSurface (in an experimental way: the only child object handled is Polygon). At the following URL: http://95.110.227.201:8080/lgml is exposed a minimal web interface in order to test it. -
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Geoportal Server is a standards-based, open source product that enables discovery and use of geospatial resources including data and services.
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The MIG Editor is a geographical metadata editor that implements a subset of the 19115, 19119 and 19139 ISO formats. Based in the Portuguese Metadata Profile and INSPIRE requirements.
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Earnest is a A PHP-MYSQL AI EXPERT SYSTEM for creating powerful expert system easily. Its simple PHP API can also be called from JAVA, browsers or other software to perform GIS and other comparisons. Also has ability to create XML results.
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EasyGIS simplifies GIS data management, sharing, and publishing. REST interfaces (json, html views). Lucene based FTS searches. Thematic maps, business cartography. Integration with external GIS data providers - Google, OSM.
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With OSM Parser it is possible to process OpenStreetMap geodata for various purposes. For example, it can be used to extract streets or other OSM elements for user defined regions to generate a street directory.
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ParseMeFree is the NMEA 1083 lightweight parser library written in Java. The library is used to parse NMEA ASCII frames to Java readable objects.
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A Java servlet & JSP web mapping frontend for ESRI ArcIMS maps. This project is an alternative to the standard ArcIMS HTML viewer, featuring a cleaner interface, better measuring, and pdf export capabilities.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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