MF4 (MDF 4.x) is the open standard. It supports not just CAN, but also FlexRay, Ethernet, LIN, and XCP/CCP calibration data. It is self-describing and supports compression and digital signatures.
Converting Vector Binary Logging Format (BLF) files to the standardized Measurement Data Format 4 (MF4)
This script leverages the python-can library to read the BLF file and the asammdf library to write it as an MF4 file. The append method is highly intelligent, capable of handling raw bus traffic, error frames, and comments. For more advanced use cases involving DBC files for signal decoding, you can extend this script to decode the raw CAN data into physical signals before appending them to the MDF object.
What is the average of data you need to process? Share public link convert blf to mf4 new
BLF is robust but may lack the final index. Use blfrepair (from Vector tools) or asammdf ’s recovery mode:
BLF files are excellent for storing raw, uncompressed bus traffic. However, they lack the structural metadata required for quick data visualization and post-processing.
Depending on your technical setup, several industry-standard tools can handle this conversion: MF4 (MDF 4
with BLF('vehicle_data.blf') as blf: # Convert to MF4 structure mdf = MDF() for channel in blf.channels: mdf.append(blf.get_channel_data(channel))
Transitioning from BLF to MF4 is a necessary step in the maturity of automotive data analysis. While BLF remains a robust format for real-time logging, MF4 offers the standardization and scalability required for modern development environments. Whether you use the GUI capabilities of CANoe or the automation power of Python, converting your logs ensures your data remains accessible, portable, and ready for the future of mobility.
While BLF is a proprietary format used primarily by Vector tools like CANalyzer and CANoe, MF4 (ASAM MDF4) is an industry-standard format compatible with a wide range of analysis software, including MATLAB, Tableau, and various Python libraries. Converting Vector Binary Logging Format (BLF) files to
For developers building automated pipelines, Python is the tool of choice. The combination of the python-can library (for reading BLF) and asammdf (for creating MF4) provides a powerful, free, and cross-platform solution. Prerequisites First, install the required libraries via pip: pip install asammdf python-can Use code with caution. The Conversion Script
files. This is required to convert raw messages into human-readable signals. Import & Convert : Drag and drop your
As of 2026, the demand for workflows has increased to support high-throughput, AI-driven data analytics and digital twin environments. This guide explores the best methods to convert BLF to MF4, covering automated tools, Python libraries, and the benefits of the transition. Why Convert BLF to MF4?