Search Results for "inventory python project"
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OpenJUMP is a community driven fork of JUMP the "Java Unified Mapping Platform" GIS software. The original JUMP was developed by Vivid Solutions, released under GPL2 in 2003 and discontinued in 2006. During 2004 already some enthusiastic developers joined together to enhance further the features of JUMP. They launched an independent development branch called OpenJUMP. The name gives credit to the original JUMP development, and at the same time describes the objectives of this project to...
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The Geocanvas project aims to provide a very small and simple set of APIs to assist the developer in creating geographically referenced canvas applications within the GTK/Gnome environment.
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This project aims to provide an open source fleet management system with special focus on modularity and integration.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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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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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. 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. ...
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