ScientificPython is an open source library of scientific tools for the Python programming language. Its development started in 1995.^[1]

It has not been updated since October 1, 2014.^[2]

The library includes

• mathematical tools like
  • Differentiation for functions of any number of variables up to any order
  • Numerical integration using the Romberg algorithm
  • Newton–Raphson for numerical root finding
  • Non-linear least squares fitting
• support for parallel computing
  • Bulk synchronous parallel
  • Message Passing Interface
• and several input/output interfaces, notably with
  • NetCDF files
  • Protein Data Bank files
  • Fortran-compatible text formatting
  • VRML for 3D visualizations

Qt and Tk widget toolkits are provided for building cross-platform graphical user interfaces.

ScientificPython is released under the CeCILL.

The main developer and maintainer of ScientificPython is Konrad Hinsen of Orléans University who uses it as a building block for his own research code, in particular the molecular modeling toolkit MMTK^[3] and the software nMoldyn that uses molecular dynamics trajectories to predict neutron scattering spectra.^[4][5] Outside this particular application context, most users are likely to prefer the package SciPy, which has seen a more dynamic evolution in the decade 2000–2010, involving several active developers.