fit

fitparse

Python library to parse ANT/Garmin .FIT files

Showing:

Popularity

Downloads/wk

0

GitHub Stars

547

Maintenance

Last Commit

5mos ago

Contributors

22

Package

Dependencies

0

License

MIT License Copyright (c) 2011-2020, David Cooper <david@dtcooper.com> Copyright (c) 2017-2020, Carey Metcalfe <carey@cmetcalfe.ca> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Categories

Readme

python-fitparse

Here's a Python library to parse ANT/Garmin .FIT files. Build Status

Install from PyPI:

pip install fitparse

FIT files

  • FIT files contain data stored in a binary file format.
  • The FIT (Flexible and Interoperable Data Transfer) file protocol is specified by ANT.
  • The SDK, code examples, and detailed documentation can be found in the ANT FIT SDK.

Usage

A simple example of printing records from a fit file:

import fitparse

# Load the FIT file
fitfile = fitparse.FitFile("my_activity.fit")

# Iterate over all messages of type "record"
# (other types include "device_info", "file_creator", "event", etc)
for record in fitfile.get_messages("record"):

    # Records can contain multiple pieces of data (ex: timestamp, latitude, longitude, etc)
    for data in record:

        # Print the name and value of the data (and the units if it has any)
        if data.units:
            print(" * {}: {} ({})".format(data.name, data.value, data.units))
        else:
            print(" * {}: {}".format(data.name, data.value))

    print("---")

The library also provides a fitdump script for command line usage:

$ fitdump --help
usage: fitdump [-h] [-v] [-o OUTPUT] [-t {readable,json}] [-n NAME] [--ignore-crc] FITFILE

Dump .FIT files to various formats

positional arguments:
  FITFILE               Input .FIT file (Use - for stdin)

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose
  -o OUTPUT, --output OUTPUT
                        File to output data into (defaults to stdout)
  -t {readable,json}, --type {readable,json}
                        File type to output. (DEFAULT: readable)
  -n NAME, --name NAME  Message name (or number) to filter
  --ignore-crc          Some devices can write invalid crc's, ignore these.

See the documentation for more: http://dtcooper.github.io/python-fitparse

Major Changes From Original Version

After a few years of laying dormant we are back to active development! The old version is archived as v1-archive.

  • New, hopefully cleaner public API with a clear division between accessible and internal parts. (Still unstable and partially complete.)

  • Proper documentation! Available here.

  • Unit tests and example programs.

  • (WIP) Command line tools (eg a .FIT to .CSV converter).

  • Component fields and compressed timestamp headers now supported and not just an afterthought. Closes issues #6 and #7.

  • FIT file parsing is generic enough to support all types. Going to have specific FitFile subclasses for more popular file types like activities.

  • (WIP) Converting field types to normalized values (for example, bool, date_time, etc) done in a consistent way, that's easy to customize by subclassing the converter class. I'm going to use something like the Django form-style convert_<field name> idiom on this class.

  • The FIT profile is its own complete python module, rather than using profile.def.

    • Bonus! The profile generation script is less ugly (but still an atrocity) and supports every ANT FIT SDK from version 1.00 up to 5.10.
  • A working setup.py module. Closes issue #2, finally! I'll upload the package to PyPI when it's done.

  • Support for parsing one record at a time. This can be done using <FitFile>.parse_one() for now, but I'm not sure of the exact implementation yet.

Updating to new FIT SDK versions

python3 scripts/generate_profile.py /path/to/fit_sdk.zip fitparse/profile.py

License

This project is licensed under the MIT License - see the LICENSE file for details.

Rate & Review

Great Documentation0
Easy to Use0
Performant0
Highly Customizable0
Bleeding Edge0
Responsive Maintainers0
Poor Documentation0
Hard to Use0
Slow0
Buggy0
Abandoned0
Unwelcoming Community0
100