Graph Plot

Datascape is a 2D linear data plot and browse tool for Win32. It offers many powerful features for graph presentation of scientific data by infinite zooming and various plot styles. It can also plot a mathematical expression dynamically...

Powerful graphing ActiveX control to create graphs in a huge range of styles. Great for scientific or technical graphs. Do a graph with just a few lines of code. Manipulate the layout at runtime. Multiple graphs. Drag, zoom and scroll. Much more.

Chart java applet software to generate dynamic charts and graphs - bar, line, pie, stacked and grouped charts in 2D and 3D with a wide range of parameters and chart types.

Chart java application software to generate dynamic charts and graphs within JSP, servlets or java applications - bar, line, pie, stacked and grouped charts in 2D and 3D with a wide range of parameters and chart types.

GraphSight Junior is an easy to use freeware handy 2D math-graphing program. It was originally designed to help students and teachers satisfy their day-after-day math plotting needs. It makes it easy to plot common Y(X) = F(X) graphs.

Rt-Plot is a tool to generate Cartesian X/Y-plots from scientific data. You can enter and calculate tabular data. View the changing graphs, including linear and non linear regression, interpolation, differentiation and integration, during entering.

The selection of components to generate two dimensional cartesian plots with: unlimited number of axis (secondary axis), automatic scaling, automatic zooming, unlimited number of series, manifold line and point styles...

QPlot allows you view or digitize scatter data Visualize scatter data starting from your NotePad; Online data coordinates tracking by mouse ; Support extracting data value from existing or published graph, ex. PDF or Word file; It's light-weight, 1MB

Don't spent hours writing a program for some programmable calculator while MtrxCal can perform the same calculations with just a few simple lines. Don't waste time trying to find the right maximum and minimum values for plotting your functions.

Curve fitting (fit), nonlinear regression, treatment of data, basic statistics, error propagation, 2D and 3D graphs, confidence band, uncertainty, error bars, extrapolation, chi-square, correlation coefficient tests, covariance matrix, math tools.