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Free and open-source software portal; Pyspread is a non-traditional spreadsheet.Cells in pyspread's grid accept expressions in the Python programming language. [2] A cell can return any Python object, which allows calculations with vectors, matrices, fractions, arbitrary precision numbers and symbols.
NetworkX, an open source Python library for studying complex graphs. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements). yEd, a free Java-based graph editor, supports import from and export to GML.
This is a list of software to create any kind of information ... 2D graphs Archim: drawing 2D and 3D graphs: ... Python library for computer algebra and symbolic ...
SciDAVis can generate different types of 2D and 3D plots (such as line, scatter, bar, pie, and surface plots) from data that is either imported from ASCII files, entered by hand, or calculated using formulas. [2]
ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.
Gramps, formerly GRAMPS (an acronym for Genealogical Research and Analysis Management Programming System), [2] is a free and open-source genealogy software. [9] It is developed in Python using PyGObject and utilizes Graphviz to create relationship graphs.
Networkx is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks; Graph-tool is a python module for efficient analysis of graphs. Its core data structures and algorithms are implemented in C++, with heavy use of Template metaprogramming, based on the Boost Graph Library.
Many spreadsheet, drawing, and desktop publishing programs allow you to create graphs and export them as images. gnuplot can produce a wide variety of charts and graphs; see samples with source code at Commons. In Python using matplotlib ; The R programming language can be used for creating Wikipedia graphs.