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  2. Comparison of statistical packages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_statistical...

    Ooms, Marius (2009). "Trends in Applied Econometrics Software Development 1985–2008: An Analysis of Journal of Applied Econometrics Research Articles, Software Reviews, Data and Code". Palgrave Handbook of Econometrics. Vol. 2: Applied Econometrics. Palgrave Macmillan. pp. 1321–1348. ISBN 978-1-4039-1800-0. Renfro, Charles G. (2004).

  3. Comparison of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_numerical...

    Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free

  4. NetworkX - Wikipedia

    en.wikipedia.org/wiki/NetworkX

    In April of 2005, NetworkX was made available as open source software. [1] Several Python packages focusing on graph theory, including igraph, graph-tool, and numerous others, are available. As of April 2024, NetworkX had over 50 million downloads, [6] surpassing the download count of the second most popular package, igraph, by more than 50 ...

  5. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/.../Origin_(data_analysis_software)

    2021/4/30 Origin 2021b: Mini toolbar for 3D graph, built-in Shapefile support, insert maps to graphs, NetCDF climate data, SQLite import export; 2020/10/27 Origin 2021. Fully integrated Python support with new originpro package. New formula bar, color manager, chord diagram. New Apps including TDMS Connector, Import PDF Tables. 2020/4/30 Origin ...

  6. List of performance analysis tools - Wikipedia

    en.wikipedia.org/wiki/List_of_performance...

    C, C++, Fortran/Fortran90 and Python applications. Performance profiler. Shows I/O, communication, floating point operation usage and memory access costs. Supports multi-threaded and multi-process applications - such as those with MPI or OpenMP parallelism and scales to very high node counts. Proprietary CodeAnalyst by AMD: Linux, Windows

  7. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  8. Spyder (software) - Wikipedia

    en.wikipedia.org/wiki/Spyder_(software)

    It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.

  9. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based vocabularies; Meson build system, a software tool for automating the building (compiling) of software; mod_python, an Apache module allowing direct integration of Python scripts with the Apache web server