Search Results for "coordinates"

QInterference can visualize batch of double slit experiments. It can also solve it in radial as well as Cartesian coordinates and moreover it can simulate functionality the phase-array radar with the main-bundle deflection.

HiPlot is an interactive visualization toolkit for exploring high-dimensional experiments, especially those produced during hyperparameter search or ablation studies. Its core view is a parallel-coordinates plot that lets you brush, filter, and highlight runs to spot trade-offs, correlations, and Pareto fronts at a glance. You can load results from simple CSV/JSON logs or programmatically push “experiments” with typed fields, metrics, and tags. The UI supports dynamic filtering, color mapping, and tooltip details so you can iteratively narrow to the most promising configurations. ...

...The Visualization of Protein-Ligand Graphs (VPLG) software package computes and visualizes protein graphs. It works on the super-secondary structure level and uses the atom coordinates from PDB files and the SSE assignments of the DSSP algorithm. VPLG is command line software. If you do not like typing commands, try our PTGL web server: http://ptgl.uni-frankfurt.de/

Vibeplot presents a new and attractive way to visualize vibrational analysis from density functional calculations (DFT). It is especially targeted at the chemists. The interface can either be scripted or used interactively with QVibeplot.

Geo-Spatial Data Viewer (GSDView) is a lightweight viewer for geo-spatial data and products. It is written in python and Qt4 and uses the GDAL library. GSDView is modular and has a simple plug-in architecture.

"Plot Extractor" allows manual extraction of point coordinates from an image. X and Y axes are manually defined by two points each. Axes need not be orthogonal and can be rotated compared to the image edges.

A user-friendly mathematical plotter. Its main purpose is displaying 2D/3D functions, defined in rectangular, polar and cylindrical coordinates, relations between variables, parametric curves/surfaces and vector fields. It is based on SDL and OpenGL

FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.