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  Analyzed about 12 hours ago

Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. Automatic graph drawing has many important applications in software engineering, database and web design, networking, and in visual interfaces for many other domains. Graphviz is open ... [More] source graph visualization software. It has several main graph layout programs. See the gallery for some sample layouts. It also has web and interactive graphical interfaces, and auxiliary tools, libraries, and language bindings. [Less]

593K lines of code

0 current contributors

3 days since last commit

419 users on Open Hub

Very High Activity
I Use This



  Analyzed about 24 hours ago

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number ... [More] capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. NumPy is licensed under the BSD license, enabling reuse with few restrictions. [Less]

398K lines of code

219 current contributors

2 days since last commit

337 users on Open Hub

Very High Activity
I Use This
Licenses: No declared licenses



  Analyzed about 7 hours ago

gnuplot plots 2d and 3d graphs, from a data file or with a formula. It has an interactive mode with online help, or it can be used non-interactively. gnuplot does function fitting to data sets, and it does output to many terminals, among which are PostScript, X11 display, PNG, and GIF (via the old gd library).

196K lines of code

11 current contributors

about 24 hours since last commit

169 users on Open Hub

Moderate Activity
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Licenses: No declared licenses



  Analyzed almost 3 years ago

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different ... [More] implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. [Less]

790K lines of code

12 current contributors

about 3 years since last commit

156 users on Open Hub

Activity Not Available
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GNU Octave


  Analyzed almost 3 years ago

Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments. It may also be used as a batch-oriented language.

1.18M lines of code

71 current contributors

almost 3 years since last commit

133 users on Open Hub

Activity Not Available
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CLISP - an ANSI Common Lisp


  Analyzed 3 days ago

GNU CLISP is an ANSI Common Lisp implementation with an interpreter, compiler, debugger, object system (CLOS, MOP), sockets, fast bignums, arbitrary precision floats, and foreign language interface which runs on most UNIXes and Win32.

762K lines of code

0 current contributors

over 4 years since last commit

55 users on Open Hub

I Use This

Maxima GPL CAS based on DOE-MACSYMA


  Analyzed about 2 months ago

Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, and sets, lists, vectors, matrices, and tensors. Maxima yields high ... [More] precision numeric results by using exact fractions, arbitrary precision integers, and variable precision floating point numbers. Maxima can plot functions and data in two and three dimensions. The Maxima source code can be compiled on many systems, including Windows, Linux, and MacOS X. The source code for all systems and precompiled binaries for Windows and Linux are available at the SourceForge file manager. [Less]

1.48M lines of code

19 current contributors

about 2 months since last commit

53 users on Open Hub

Activity Not Available
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Sage: Open Source Mathematics Software


  Analyzed over 2 years ago

Sage is mathematical software, very much in the same vein as MATLAB, MAGMA, Maple, and Mathematica. Unlike these systems, every component of Sage is GPL-compatible. The interpretative language of Sage is Python, a mainstream programming language. Use Sage for studying a huge range of mathematics ... [More] , including algebra, calculus, elementary to very advanced number theory, cryptography, numerical computation, commutative algebra, group theory, combinatorics, graph theory, and exact linear algebra. It is available for download from sagemath.org and its mirrors in source or binary form. If you have any questions and/or problems please report them to the Google groups sage-devel or sage-support. You can also drop by in #sagemath on freenode IRC. [Less]

779K lines of code

162 current contributors

over 2 years since last commit

52 users on Open Hub

Activity Not Available
I Use This



  Analyzed about 8 hours ago

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system (CAS) while keeping the code as simple as possible in order to be comprehensible and easily extensible. SymPy is written entirely in Python and does not require any external libraries, except optionally for plotting support.

515K lines of code

174 current contributors

about 14 hours since last commit

38 users on Open Hub

Very High Activity
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  Analyzed 2 months ago

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. * It supports tiny & large dense, and sparse matrices, fully integrated with one another. * It has no dependency and no binary to compile or link-to. * It takes full advantage of ... [More] expression templates to provide a great API, and enable many optimizations including temporary removal, and intelligent explicit vectorization (SSE, AVX, AltiVec, and NEON). * Performance is on par with the best BLAS implementations. * It provides linear solvers comparable to LAPACK as well as sparse direct and iterative methods with preconditioners. * It keeps in mind the real needs of applications, for example the geometry features needed for 3D graphics. [Less]

542K lines of code

41 current contributors

3 months since last commit

35 users on Open Hub

Activity Not Available
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Licenses: lgpl3, mozilla_p...