2D plotting via PGPLOT, PLPlot bindings 3D via GL.įOSS statistics program, intended as an alternative to IBM SPSS Statistics. Used for astrophysics, solar physics, oceanography, biophysics, and simulation. Built-in scripting and programming languages. Analysis with auto recalculation and report generation.
MATHEMATICA VS MATLAB VS MAPLE VS PYTHON SOFTWARE
Integrated data analysis graphing software for science and engineering. Symbolic Differentiation, Survival Analysis, Cluster Analysis, 2D/3D Graphics. Numerical and Statistical computation for Scientific Applications, e.g. Emphasis on vectorised processing.ġ972 (on DEC-10), 1988 (on PCs), 1993 (on MACs) Numerical computation and simulation with extended 2D/3D visualization. m file scripts Ģ023 (9 March 2023 3 months ago ( )) Graphical, and textual through formula nodes, mathscript and. Shah, and Alan EdelmanĪ fast, high-level numerical computing language.ĢD plotting, suitable for creation of publication-ready plots but also for data visualization and exploration, data import from many formats(ASCII, binary, HDF5, FITS, JSON, etc.), export to vector and raster images, data analysis (nonlinear curve fitting in 2D, FFT, smoothing, integration and differentiation, etc.), digitizing of raster images, live data plotting, support for different CAS like Maxima, Octave, R, etc. Jeff Bezanson, Stefan Karpinski, Viral B. Online access to: J Application Library (JAL) Interactive graphics, programmable, 2D/3D, used for science and engineering, large data sets. General numerical computing package with many extension modules. General simulation and Monte Carlo sampling software Mostly compatible with MATLAB.Īimed as a drop-in replacement for IDL/PV-WAVE Interactive graphics, scriptable, specialized in curve fitting and peak fitting, 2D onlyĭynamic, interactive 2D/3D diagrams, programmable, VBA, high performances, multicore compatible, large data sets.Ĭodeless interface to external C, C++, and Fortran code.
MATHEMATICA VS MATLAB VS MAPLE VS PYTHON CODE
$115 (1.x binaries) / Free (source code and 0.x binaries) Not free (commercial) / Free (non-commercial)Ī modern dialect of APL, enhanced with features for functional and object-oriented programming.Īlso a computer algebra system through interface with Maxima Numeric computations for science and engineering featuring a spreadsheet like interface. $399 (commercial) / $199 (academic) / Free (student)Ĭ/C++ based numerical computing and graphical plotting The following tables provide a comparison of numerical analysis software.Īutomatic differentiation makes it well suited to complex minimization problemsįree (Analytica Free 101), $995 (Professional), $2795 (Enterprise)Ī numerical modeling environment with a declarative and visual programming language based on influence diagrams. See screenshot below.This list is incomplete you can help by adding missing items. Spyder - I normally just use these libraries with a text editor and a ipython terminal session, but if you are more comfortable with an integrated environment you may look at spyder, an IDE designed in the vein of matlab/mathematica using the above libraries. Python-numpy python-scipy python-matplotlib - Core scientific python libraries Numpy provides efficient arrays for handling large amounts of data Scipy provides algorithms, eg clustering, FFT, numerical integration, linear algebra and Matplotlib provides a wide variety of plotting functions (including an interface designed for interactive use). You might also want ipython-notebook which provides a browser-based interactive session (see image below). ipython - a much nicer version of the standard python shell, with session saving, tab-completion, etc.It is not quite a replacement, since the python language is not as specialised for mathematics as matlab/mathematica syntax, but it combines a relatively good syntax for interactive mathematics with a fully-capable programming language. I would suggest python with appropriate libraries as a good option.
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