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Showing 5 open source projects for "docs"
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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GeoServer
GeoServer repository
GeoServer is an open-source software server written in Java that allows users to share and edit geospatial data. Designed for interoperability, it publishes data from any major spatial data source using open standards. Being a community-driven project, GeoServer is developed, tested, and supported by a diverse group of individuals and organizations from around the world. GeoServer is the reference implementation of the Open Geospatial Consortium (OGC) Web Feature Service (WFS) and Web... -
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gt-jdbc-korean
Korean Spatial DBMS Driver
The Development of Domestic Spatial DBMS Driver supporting java based Open Source GIS(GeoServer, uDig) ● Manual: - https://sourceforge.net/projects/gt-jdbc-korean/files/GeoServer-uDig_KoreanSpatialDBMS_Manual_ko_v.1.0.pdf ● DataStore plugins: - Altibase Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/altibase.html ) - Tibero Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/tibero.html ) - Kairos Plugin( http://www.mangosystem.com:8080/gxt/docs/data/database/kairos.html ) - NGI format - ESRI Personal GDB License :: OSI-Approved Open Source :: GNU Library or Lesser General Public License version 2.0 (LGPLv2) -
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pycsw is an OGC CSW server implementation written in Python.
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ODSSA - is a system for storing, searching and viewing spatially and temporally indexed photos, videos, GIS tracks, ESRI shape, and other files. It consists of an import tool, open API Server, browser based Client for search and viewing files.
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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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This utility can process multiple POI (Points Of Interest) files (format CSV, comma separated), merge POI lists, find and eliminate (or mark) duplicates (POIs with similar coordinates, e.g. POIs having < 10m distance between them). See docs & screenshots
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