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Dia loads and saves diagrams in a custom XML format which is, by default, gzipped to save space. It can print large diagrams spanning multiple pages [ 4 ] and can also be scripted using the Python programming language .
PlantUML is an open-source tool allowing users to create diagrams from a plain text language. Besides various UML diagrams, PlantUML has support for various other software development related formats (such as Archimate, Block diagram, BPMN, C4, Computer network diagram, ERD, Gantt chart, Mind map, and WBD), as well as visualisation of JSON and YAML files.
Mathics, an open-source implementation of the Mathematica programming language; Matplotlib, providing MATLAB-like plotting and mathematical functions (using NumPy). NumPy, a language extension that adds support for large and fast, multi-dimensional arrays and matrices; Plotly is a scientific plotting library for creating browser-based graphs.
Supports following UML diagrams: Use case diagram, Sequence diagram, Collaboration diagram, Class diagram, Statechart diagram, Activity diagram, Component diagram, Deployment diagram and Package diagram Rational Rose XDE: No Unknown Unknown Unknown Unknown Unknown Unknown Rational Software Architect: Yes Yes Yes Unknown
Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]
Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Processes of making a programming language may differ from developer to developer; however, here is a general process of how one might create a programming language, which includes common concepts: Design: Design aspects are considered, such as types, syntax, semantics, and library usage to develop a language. [10]
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.