ffnet is a fast and easy-to-use feed-forward neural network training solution for Python. You can use it to train, test, save, load, and use an artificial neural network with sigmoid activation functions. Any network connectivity without cycles is allowed (not only layered). Training can be performed with several optimization schemes, including genetic alorithm based optimization. There is access to exact partial derivatives of network outputs versus its inputs. Normalization of data is handled automatically by ffnet.
Freesteam is a library that allows you to calculate water and steam properties using the industry-standard IAPWS-IF97 steam tables. It is a library of C++ classes which can be integrated into your code. Plug-ins to allow freesteam to be integrated with spreadsheets and other applications are under development. The included unit tests assure compliance with published property values. IAPWS-95 (scientific use) correlations are also included and used as part of this validation.
g2 is an easy to use, portable and powerful 2D graphics library. It provides a comprehensive set of functions for simultaneous generation of graphical output on different types of devices. The following devices are currently supported: Postscript, X11, FIG (xfig), PNG, and JPEG using the gd library, and Win32. g2 is written in C (ANSI) and additionally has Fortran, Perl, and Python interfaces.
gEDA is a suite of electronic design automation (EDA) tools. Currently, the project offers a mature suite of free software applications for electronics design, including schematic capture, attribute management, bill of materials (BOM) generation, netlisting into over 20 netlist formats, analog and digital simulation, and printed circuit board (PCB) layout.