Search Results for "data processing"
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Showing 18 open source projects for "data processing"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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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 Coverage Service (WCS) standards, as well as a high-performance certified compliant Web Map Service (WMS), compliant Catalog Service for the Web (CSW) and implementing Web Processing Service (WPS). ... -
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SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS) software with immense capabilities for geodata processing and analysis. SAGA is programmed in the object oriented C++ language and supports the implementation of new functions with a very effective Application Programming Interface (API). Functions are organised as modules in framework independent Module Libraries and can be accessed via SAGA’s Graphical User Interface (GUI) or various scripting...
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iGPS
An interactive tool for GNSS position time series analysis
* Please check latest update on https://github.com/igps-ftk/iGPS A tool written in Interactive Data Language (IDL), for processing and analyzing daily continuous GPS position time series. It can read time series in various formats, detect outliers, remove abnormal observation spans, find jumps, extract common-mode components(CMC), etc. -
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AICtools
Workflow and set of tools for Automated Imagery Classification
AICtools is a GIS workflow and set of tools to facilitate Automated Imagery Classification (AIC) and analysis of surface features over time. Allows bulk processing of large data sets, including automated metadata processing/filtering, compressed archive extraction and file manipulation, raster band compositing, pre-processing, mosaicking, clipping. Automates a subset of operations involved in classification of satellite imagery and the associated raster calculations used for time trend analysis. -
Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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qsdata
Spectral Data - binary builds for Windows 10
Small Qt based experimental program for processing spectral data. Example data are available from Files/example-data folder. -
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gvSIG CE (Community Edition)
The full-featured, easy-to-use desktop GIS with real processing power!
The Community Edition (gvSIG CE) is a fork of the gvSIG desktop GIS project (http://www.gvsig.org). It is open to external contributors and fully community-driven. Our official releases are designed to be portable and include all necessary binaries for Linux, Mac OS X and Windows. No installation necessary: Just download, unpack and run! -
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UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.
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meteosatool
MeteosatTool is for visualization and processing meteo satellite image
MeteosatTool is a program for visualization and processing of data from Meteosat Second Generation (MSG) geostationary meteorological satellite, and output data of SAFNWC, the Satellite Application Facilities for NoWCasting and very short range forecasting software package -
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MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm. -
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RAT is a software for advanced image processing of SAR (Synthetic Aperture Radar) remote sensing data.
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osm2postgresql is a Linux script loading openstreetmap data into a postgresql database setting up if needed a server & database (postgis+hstore). Advanced processing is performed, easing rendering. http://wiki.openstreetmap.org/wiki/Osm2postgresql
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...It is still the 32 bit version. Plans failed to develop. Vector Raster Geographic Information Synthesis for 64 bit computers using dual or large screens. Incorporates : Vector processing, Raster Image processing, Digital Elevation Model (DEM) processing. These data can be combined to be viewed in 3D.
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Vector Raster Geographic Information Synthesis. Incorporates Vector: Vector processing, Image processing, Digital Elevation Model DEM processing. These data can be combined to be viewed in 3D. Multitude of system organization aids.
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The package is a Microsoft .NET 2.0 package providing the processing of the geographical data. The library supports popular "home" formats of geographical data: Ozi Explorer, MP and MPS. The library supports map nomenclature (Soviet headquarters).
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. ... -
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Volumetric is a 3-D image processing tool. It reads point cloud data, expands it to a volumetric space with highly effective memory usage, and filter out necessary points.
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