Euclidean
Triangle Group Demo v.6.0
This simple demo allows the user to experiment with a wide variety of 2-dimensional triangle groups. In the process the users gains a direct experience the three different standard planar metric geometries -- euclidean, elliptic, and hyperbolic.
GeomSpace v.0.9b Alpha
GeomSpace is CAD-like software for Euclidean and non-Euclidean spaces. Create your univers of any dimension with this tool. GeomSpace is a browser for geometric space. You can build your own universe of any dimension and with any geometry.
Cyclidic Nets v.1.0
Easily extend circular nets to cyclidic nets. Cyclidic nets are a discretization of orthogonal nets, closely related to the discretization as circular nets. In Euclidean 3-space they discretize curvature line parametrized surfaces resp.
MacSwear v.1.0
A version of the classic worm game, played in non-Euclidean space - that is to say, on the surface of various three-dimensional shapes.
Kseg v.0.403
KSEG is a Free (GPL) interactive geometry program for exploring Euclidean geometry.
Suwako v.1.0
This is the extended euclidean algorithm implemented in haskell.
TopDrawer v.0.3.0
TopDrawer makes it easy to produce beautifully typeset Euclidean geometry diagrams.
NonEuclid v.6.0.290.11
NonEuclid is an Interactive Java Software for Creating Ruler and Compass Constructions in both the Poincaré Disk and the Upper Half-Plane Models of Hyperbolic Geometry.
GEUP v.4.0.6
GEUP is an interactive plane geometry program for math visualization and to perform dynamic math calculations.
Euclide v.0.6.6
Euclide is a dynamic geometry software, which tries to be as flexible as possible. You start by placing some free points, then you create objects using these points: lines, circles, line segment, circle arcs...
MVSP (Multi-Variate Statistical Package) v.3.21
The easy and inexpensive way to analyze your data. MVSP (Multi-Variate Statistical Package) is an inexpensive and easy-to-use software that performs a number of multivariate numerical analyses useful in many scientific fields.
KMeans v.1.0
Genetic marker data clustering made easy. K-Means clustering divides a number of objects into a a priori assigned number (k) of groups in such a way that the among-groups Sum of Squares is maximised.