Tools developed by me:
A website that lists Mathematical Events, Jobs, News, Calls, and research tools - releasing soon, currently shows preview only.
Other useful Tools:
A Python library for symbolic mathematics — performs algebraic simplification, calculus, equation solving, and symbolic linear algebra. Integrates seamlessly with Jupyter for research and teaching.
Run MATLAB directly in your browser. Perform numerical analysis, visualization, and simulation without local installation. Integrates with MATLAB Drive and MathWorks Cloud.
A powerful free diagramming tool for creating flowcharts, mind maps, UML diagrams, and network schematics. Integrates with Google Drive, GitHub, and other platforms — ideal for visualizing mathematical models and workflows.
Open-source computing platform for automated finite element analysis. Widely used for PDE modeling, scientific computing, and inverse problems with a clean Python interface.
NumPy provides fast and memory-efficient multi-dimensional arrays, linear algebra routines, Fourier transforms, and random number capabilities. It forms the foundation of the scientific Python ecosystem.
SciPy builds on NumPy to provide a rich library for scientific and engineering computations — including optimization, integration, interpolation, signal processing, and statistics.
Freely accessible database of mathematical literature with millions of entries, MSC classifications, and expert reviews. An essential reference for mathematical research.