Installation

We recommend that you install mdtraj with conda.

$ conda install -c https://conda.binstar.org/omnia mdtraj

You can install also mdtraj with pip, if you prefer.

$ pip install mdtraj

Supported Platforms

Currently, we test and run mdtraj with Python 2.7, 3.3 and 3.4 on

  • OS X 10.10 Yosemite
  • x86-64 Ubuntu 12.04 LTS, 14.04 LTS
  • x86-64 CentOS 5.x, 6.x
  • 32-bit Python on 64-bit Windows Server 2012

Dependencies

To use mdtraj, the following libraries and software will need to be installed.

Linux, Mac OS X or Windows operating system
We develop mainly on 64-bit Linux and OS X machines. We make our best effort to support Windows where possible.
Python >= 2.6
The development package (python-dev or python-devel on most Linux distributions) is recommended.
NumPy >= 1.6.0
Numpy is the base package for numerical computing in python.

Optional packages:

SciPy >= 0.12.0
We use scipy for loading and saving AMBER netcdf formatted trajectories.
Pandas >= 0.9.0
Some functionality, including mol2 parsing, requires pandas.
PyTables >= 2.4.0
Working with HDF5 formatted trajectories requires the PyTables package.

Testing Your Installation

Running the tests is a great way to verify that everything is working. The test suite uses nose, which you can pick up via pip if you don’t already have it.

pip install nose

Then, to run the tests, execute the command

nosetests mdtraj -v

Compiling From Source (Expert)

To compile MDTraj from source, you’ll need cython, numpy, and an appropriate compiler toolchain for your platform. For linux and OS X, we support the gcc and clang compilers. For Windows, we support Microsoft Visual Studio 2008 and Visual Studio 2010. The mingw compiler toolchain is unsupported.

Versions