Search Results for "ofn-export-layers.py"
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Showing 6 open source projects for "ofn-export-layers.py"
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Pascal XE
Pascal XE is an easy to use IDE for Pascal programming.
Pascal XE is an IDE for Pascal programming, it is user friendly and designed specially for beginners in programming. Pascal XE includes 3 free compilers: - Virtual Pascal Compiler 2.1.279 (default) - Free Pascal Compiler 3.0.4 - GNU Pascal Compiler 20070904 -
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Software for calculating geometric properties of cross sections
Software for calculating geometric properties of cross sections and polygons. Calculates: area, moments of inertia, product of inertia, radius of gyration, section modulus, among others. It also supports import and export of CSV, JSON and DXF files. Able to do geometric transformations and 2D and 3D visualization of the cross sections. -
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http://www.filehelpers.net The FileHelpers are an easy to use .NET library written in C#. Is designed to read/write data from flat files with fixed length or delimited records (CSV). Also has support to import/export data from different data storages (Excel, Access, SqlServer) Code on GitHub: https://github.com/MarcosMeli/FileHelpers
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TimeFinder automatically optimizes schedules (timetables) for universities and high schools. It makes manual timetabling for the timetabler easier via a Java GUI. Export+import is supported via xml and text formats. http://timefinder.sourceforge.net/
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Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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This project is using genetics algorithms to complete scheduling tasks such as timetables for elementary / high schools etc. Currently NetBeans project with no GUI and simple HTML export.
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Extract a Term Concept Map from Wikipedia. It takes an export of the Wikipedia and imports it into a database. The extracted term concept map can then serve as a basis for semantically enhancing applications, with the depth and bredth of the Wikipedia.
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