:warning: NOTE: I have limited to no time to work on this package these days!
I am looking for a maintainer to help with issues and updating/releasing the package. Please reach out via email at david@dtcooper.com if you have interest in helping.
If you're having trouble using this package for whatever reason, might we suggest using an alternative library: fitdecode by polyvertex.
Cheers,
David
Here's a Python library to parse ANT/Garmin .FIT
files.
pip install fitparse
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
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
.
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.
python3 scripts/generate_profile.py /path/to/fit_sdk.zip fitparse/profile.py
This project is licensed under the MIT License - see the LICENSE
file for details.