python-can: Supports many CAN bus interfaces (incl.be used with python-can to provide DBC decoding of raw CAN bus data streams KCD, SYM, ARXML), encoding/decoding of CAN frames and basic graphical plots. cantools: Like canmatrix, cantools enables loading of DBC files (and e.g.This module is used in our API and the asammdf API DBC files) for use in scripts or for exporting to other formats. canmatrix: This module lets you load CAN databases (e.g.real-time streaming of data via USB), in contrast to our Python API and the asammdf API (intended for processing log files): Note that most of the tools listed are intended for use with CAN bus interfaces (i.e. Other CAN bus Python toolsīelow we list a couple of other Python CAN tools that you may find useful. If in doubt which API to use, contact us. Similarly, the asammdf API also makes it easy to export data into MATLAB compatible formats. DBC decoded and/or concatenated MF4 log files. On the other hand, the asammdf API is better suited when your use case involves loading MF4 log files with CAN bus data and exporting the data into e.g. AWS Lambda: If you wish to set up automated processing of incoming log files from the CANedge2, we provide ready-to-use AWS Lambda ‘ARN layers' for enabling easy automation using our Python API.This also means that the tool is far heavier in terms of dependenices. Dependencies: The asammdf Python API enables a lot of features not included in our Python API.However, if you wish to compress and/or encrypt your log files, you cannot natively load these log files via the asammdf API, but instead you'll need to first use the ‘mdf2finalized' MF4 converter to get the files into the MF4 format Support for MF4/MFC/MFE/MFM: The asammdf API lets you natively load CANedge log files in the MF4 format.In contrast, our Python API is designed to enable time-based listing of log files across both local disk and S3 (for use with the CANedge2) Listing data: The asammdf API does not provide any methods for listing log files in a structured manner.This means that you can load log files, DBC decode them and get the output into pandas dataframes - similar to our Python API tools.įor many use cases, you can thus use the asammdf API, though there are some distinct advantages to our API if you're working with data from the CANedge: The asammdf Python API lets you perform all of the steps you can do through the asammdf GUI, but through Python scripts.
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