Search Results for "sourceforge.net/projects/winpython/files/winpython_3.8/3.8.10.0/winpython64-3.8.10.0.7z"
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Showing 14 open source projects for "sourceforge.net/projects/winpython/files/winpython_3.8/3.8.10.0/winpython64-3.8.10.0.7z"
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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GDAL wheels for linux
GDAL wheels for python and C/C++ projects (Linux only)
To use precompiled wheels: 1) go to releases (Files) and download tarball needed; 2) install it with command: python3 -m pip install /path/to/wheel.whl Or simply use URL in pip: python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download URL may be found under "View details" button (i) To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages) To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux Usually this is done via command `make wheels` GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal Built with PROJ (proj.db is included), GEOS, EXPAT. ... -
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OzGIS free open-source mapping system
Analysis and display of Census, business, government attribute data
...The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research. Systems for Windows, Mac and Ubuntu, source code, sample data files and manuals are included. DOWNLOAD to your Downloads directory and unzip to Downloads/OzGIS ; see the Files tab for installation instructions. See the installation manual or "OzGIS Installation" Youtube video for help with getting started. I am unable to show OzGIS to you, so suggest that you search for "OzGIS lloyd" on Youtube for demonstration videos or "OzGIS" on Pinterest for example maps. ... -
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trafalgar.map
Open Street Map (OSM) tools, OSM/XML parser, tag extractor
This is going to be a set of tools which is intended to be used with huge OSM files like the planet files in XML format. The parser reads directly from packed *.gz files and it is not needed to unpack the OSM/XML data files to the local disk. Now in 0.3.0: osm_tags: tag analyzer (like tag watch) osm_split: split osm file in single files for nodes, ways and relations and collect some meta information (will be used as input for other tools). ... -
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QNetMapMigrate
Wrapper for QNetMap library
This is a library that allows applications that does not use Qt to use the QNetMap library (https://sourceforge.net/projects/qnetmap/). Library developed in the T8 LLC (http://t8.ru). Written and supported by Sergey Shumeyko. -
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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Various dg100 tools - To extract and store GPS location data from a GlobalSat DG-100 GPS data logger. - Convert this data to googleearth .kml format. - Corrolate and write GPS exif tags to jpg files (using exiv2 library).
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geoCtools manipulates geo-data in csv or kml files. Generates kml files for Google map/earth. Polygons can be: merged, simplified, locations (icons) added with user data in the balloons, selected via FIPS code. Uses libxml2
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This repository is not in active use; the project lives at: https://r-forge.r-project.org/projects/spdep/
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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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A C library for reading and writing BSB format image files. Typically used for nautical charts, BSB image files use the .KAP extension and store cartographic information in addition to a run-length encoded raster image. Includes bsb2tif & tif2bsb tools.
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...Includes 3D maps of terrain rendered in real-time; trace trails across the terrain and get height verses distance profiles; tile together adjacent maps to create seamless map areas. Reads USGS SDTS files.
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The BEAM project has moved away from SourceForge.net to a dedicated web site at http://envisat.esa.int/beam
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
...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. 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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