I have written some open-source software, some to scratch an itch, and some as part of my research.

Currently Active Projects


NGLess is a domain specific language for Next-Generation Sequencing (NGS) processing, with a focus on metagenomics.

More information:

License: MIT.


mahotas is a computer vision package for Python. It operates on numpy arrays. It is implemented in C++ as it has a strong efficiency focus.

License: MIT.


Jug is a task based framework for running embarassingly parallel code in Python. You can also think of it as a light-weight python-based map-reduce environment.

License: MIT.


Imread serves to read and save image files to and from numpy arrays.

License: MIT.

Reproducible Research

I have also made some code available for reproducible research.

Dormant Projects

These are projects that work but which I am not too interested in pursuing right now, but which I might revive in the future.

Pymorph: Python Morphology Toolbox

This is a Python image morphology toolbox which I have adopted (i.e., taken over maintaining). This works, but I am not adding any more functionality.

Includes basic operations such as - erode - dilate - open - tophat opening - watershed - …

License: BSD.


Milk is a Pythonic machine learning toolkit

License: MIT.


NGH is an NGS package for Haskell

License: MIT.


Hex is a TeX engine in Haskell. It currently does not do much, but it is progressing. The goal is a full reimplementation.

License: GPL.

ncreduce: No Copy Reduce Operations for Numpy

This improves on the speed of reduce-type operations in numpy. The code works great for its purpose, and I still resort to it everytime that ndarray.sum shows up in my profiles as a time hog (surprisingly often). However, it is too large (the binary is huge).

I learned a lot about numpy’s internals while doing it and I developed this technique for writing fast clean C++ to work on numpy code.

License: GPL.


This used ImageMagick to read images. It has been superceded by imread.


This is the system behind this website. It is a django based content managed system, where all the content is stored on flat text files. I use git to manage those text files and publish on the website.

License: Affero GPL.

Bits & Pieces

These are little projects that are helpful, but not part of anything larger.

FASTA Python Reader

Parses FASTA files in Python. As a major feature, it correctly handles comments (which many programmes do not). As a major mis-feature, it was one of the first Python classes that I wrote and it shows.

License: MIT