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Madagascar, an open-source software package for multidimensional data analysis and reproducible computational experiments. mlpack is an open-source library for machine learning, providing a simple and consistent API, while exploiting C++ language features to provide maximum performance and flexibility
Free GPL: Codeless interface to external C, C++, and Fortran code. Mostly compatible with MATLAB. GAUSS: Aptech Systems 1984 21 8 December 2020: Not free Proprietary: GNU Data Language: Marc Schellens 2004 1.0.2 15 January 2023: Free GPL: Aimed as a drop-in replacement for IDL/PV-WAVE IBM SPSS Statistics: Norman H. Nie, Dale H. Bent, and C ...
KNIME – An open source analytics platform built with Java and Eclipse using modular data pipeline workflows; LabPlot – A free and open-source, cross-platform computer program for interactive scientific plotting, curve fitting, nonlinear regression, data processing and data analysis; LIBSVM – C++ support vector machine libraries
One of the first completely free to use and open source statistical software was R, first released in 2000. [1] Some of the free software packages are from governments, for example Epi Info, which is from CDC [4] (Centers for Disease Control and Prevention). Some other software packages are from smaller or independent organizations or universities.
lakeFS is a free and open-source software developed by Treeverse. [1] [2] It provides scalable and format-agnostic version control for data lakes, [3] using Git-like semantics to create and access different data versions.
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]
It is applied in humanities and social sciences research (language documentation, sign language and gesture research) for the purpose of documentation and of qualitative and quantitative analysis. [3] It is distributed as free and open source software under the GNU General Public License, version 3.
Link library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis. ProteoWorker: Proprietary: Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.
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