JiTCODE stands for just-in-time compilation for ordinary differential equations and is an extension of SciPy’s ODE <http://docs.scipy.org/doc/scipy/reference/generated/scipy.integrate.ode.html> (scipy.integrate.ode). Where SciPy’s ODE takes a Python function as an argument, JiTCODE takes an iterable (or generator function) of SymPy <http://www.sympy.org/> expressions, which it translates to C code, compiles on the fly, and uses as the function to feed into SciPy’s ODE. If you want to integrate delay or stochastic differential equations, check out JiTCDDE <http://github.com/neurophysik/jitcdde>, or JiTCSDE <http://github.com/neurophysik/jitcsde>, respectively.

• Documentation <http://jitcode.readthedocs.io> – Read this to get started and for reference. Don’t miss that some topics are addressed in the common JiTC*DE documentation <http://jitcde-common.readthedocs.io>.

• Paper <https://doi.org/10.1063/1.5019320>_ – Read this for the scientific background. Cite this (BibTeX <https://raw.githubusercontent.com/neurophysik/jitcxde_common/master/citeme.bib>_) if you wish to give credit or to shift blame.

• Issue Tracker <http://github.com/neurophysik/jitcode/issues>_ – Please report any bugs here. Also feel free to ask for new features.

• Installation instructions <http://jitcde-common.readthedocs.io/#installation>_. In most cases, pip3 install jitcode or similar should do the job.

This work was supported by the Volkswagen Foundation (Grant No. 88463).