We present \texttt{DiffFx}, an open-source toolkit for audio effects research. The toolkit provides differentiable audio effects processors built in PyTorch for seamless integration into deep learning training frameworks. It can be used for multiple purposes, including mixing and mastering, style transfer of audio effects, audio effects parameter matching. The code is available at \url{https://github.com/ytsrt66589/diffFx-pytorch}.