Welcome to asammdf’s documentation!

asammdf is a fast parser/editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF (Measurement Data Format) files.

asammdf supports both MDF version 3 and 4 formats.

asammdf works on Python 2.7, and Python >= 3.4

Project goals

The main goals for this library are:

  • to be faster than the other Python based mdf libraries
  • to have clean and easy to understand code base


  • create new mdf files from scratch

  • append new channels

  • read unsorted MDF v3 and v4 files

  • filter a subset of channels from original mdf file

  • cut measurement to specified time interval

  • convert to different mdf version

  • export to Excel, HDF5, Matlab and CSV

  • merge multiple files sharing the same internal structure

  • read and save mdf version 4.10 files containing zipped data blocks

  • full support (read, append, save) for the following map types (multidimensional array channels):

    • mdf version 3 channels with CDBLOCK

    • mdf version 4 structure channel composition

    • mdf version 4 channel arrays with CNTemplate storage and one of the array types:

      • 0 - array
      • 1 - scaling axis
      • 2 - look-up
  • add and extract attachments for mdf version 4

  • files are loaded in RAM for fast operations

  • handle large files (exceeding the available RAM) using load_measured_data = False argument

  • extract channel data, master channel and extra channel information as Signal objects for unified operations with v3 and v4 files

  • time domain operation using the Signal class

    • Pandas data frames are good if all the channels have the same time based
    • usually a measurement will have channels from different sources at different rates
    • the Signal class facilitates operations with such channels

Major features not implemented (yet)

  • for version 3

    • functionality related to sample reduction block (but the class is defined)
  • for version 4

    • handling of bus logging measurements
    • handling of unfinnished measurements (mdf 4)
    • full support mdf 4 channel arrays
    • xml schema for TXBLOCK and MDBLOCK
    • partial conversions
    • event blocks


asammdf uses the following libraries

  • numpy : the heart that makes all tick
  • numexpr : for algebraic and rational channel conversions
  • matplotlib : for Signal plotting
  • wheel : for installation in virtual environments

optional dependencies needed for exports

  • pandas : for DataFrame export
  • h5py : for HDF5 export
  • xlsxwriter : for Excel export
  • scipy : for Matlab .mat export


asammdf is available on

pip install asammdf


asammdf relies heavily on dict objects. Starting with Python 3.6 the dict objects are more compact and ordered (implementation detail); asammdf uses takes advantage of those changes so for best performance it is advised to use Python >= 3.6.

Indices and tables