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Showing 72 open source projects for "open source invoice"
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View and navigate on raster map with GPS. I want to use it in offroad expeditions. Import oziexplorer raster map. Use GDAL readable format, geotiff is preferred. Import/export data to GPX format. Using python scripts for core AI tasks.
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A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files. Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar
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easyDevice is a open source project for telit modules GM862 and GM863. Main software targets are vehicle location tracking, data history functionality and making sure there are no data losses when data is transfered to server.
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Space Time Analysis of Regional Systems: Combines a suite of geocomputational and dynamic visualization modules for the exploratory analysis of data measured for spatial and temporal units.
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AVPython embeds the Python programming language within ArcView GIS 3.x. This project will also encompass efforts to build a similar bridge between Python and ArcObjects. An integrated, redistributable Python / PyWin32 setup wizard is also published here.
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A Open Source project with the main goal to make a simple way to display 3D objects from a Geodatabase (PostgreSQL/PostGIS) on the Web. This project was created by OpenGEO (www.opengeo.com.br).
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ZMapServer is a Zope Product that provides a clean interface to the MapServer (http://mapserver.gis.umn.edu) web mapping application.
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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The NHD Software Project is a collection of the utilities, scripts, APIs, standards, and application extensions used for the quality assurance of stream and river data, conflation/generalisation of hydrographic data, and other hydrologic data maintenance.
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This project exists as a central meeting place for those wishing to share in-house developed applications and tools for local government (and related industries) in Australia.
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The aim of this project is to translate the geostatistical BMELib Matlab Toolbox (http://www.unc.edu/depts/case/BMELIB/) into Python.
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This project provides a library written in Python for reading and eventually writing ISO8211 files. ISO8211 is a format used for various GIS systems (geographic data), including SDTS, the format used by the US Geological Survey.
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Python script for Geocachers. Takes GPX file (eg from Geotoad), downloads waypoints to Garmin Etrex, and produces OpenOffice quick-reference document with the descriptions and hints.
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PyOGCLib is a package of classes that implement specifications of the Open GIS Consortium (OGC), allowing Python applications to spatially plug-and-play with other geoprocessing systems.
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GpxBase - simple GPS data manipulation Copy/Move/Delete/Update Waypoints/Tracks/Routes within a list of GPX/KML files. Open source solution to keep track of personal GEO Data Base from different sources (GPS devices, Google software and other).
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PySOS, a python-based implementation of the OGC SOS standard. PySOS is a lightweight set of scripts that work in conjunction with a web server to serve data from a relational database.
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Geotag Merge is designed to combine track data from a GPS unit with EXIF data in a series of photographs. A handheld GPS can be simply carried while taking photos, and the photos can later be automatically gettagged (by matching timestamps).
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.
