JOELib/JOELib2 is a cheminformatics library which supports SMARTS substructure search, descriptor calculation, processing/filtering pipes, and conversion of different chemical file formats. It is written in 100% pure Java, and interfaces to external programs (e.g. Ghemical) are available.
Jmol is a Free, Open Source molecule viewer and editor. It is a collaboratively developed visualization and measurement tool for chemical scientists. Jmol is an active project, and there are new features being added to it on a daily basis. Users are encouraged to modify it to fit their needs and to contribute their changes to the project.
BALLView is an extensible viewer for bio-molecular structures. It provides all standard models and offers rich functionality for molecular modeling and simulation, including molecular mechanics methods (AMBER, CHARMM, and MMFF94 force fields), continuum electrostatics methods employing a Finite-Difference Poisson Boltzmann solver, secondary structure calculation, molecular editing and docking. Since BALLView is based on BALL (the Biochemical ALgorithms Library), it is easily extensible on the level of C++ code. In addition, it provides a Python interface with Integrated Development Environment features to allow interactive rapid prototyping.
The NCBI C++ Toolkit provides portable libraries and applications for assisting genetic science. These include libraries for networking, SQL and BerkeleyDB access, CGI and HTML handling, ASN.1 and XML handling, sequence alignment engines, sequence retrieval engines, BLAST database engines, FLTK and OpenGL graphics toolkits, and basic system utilities.
Cell Electrophysiology Simulation Environment is a framework to perform electrophysiological simulations. It can, for example, simulate cardiac myocyte electrical activity. It is useful for simulations of action potentials, individual ionic currents, and changes in ionic concentrations.
CGAL, the Computational Geometry Algorithms Library, is a large C++ library of geometric data structures and algorithms such as Delaunay triangulations, mesh generation, Boolean operations on polygons, and various geometry processing algorithms. CGAL is used in various areas: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, and numerical methods.