Alejandro Martinez 67136b3cdf Enable Python DPs use Metadata in automatic mode (#4336)
Data Processors running on import are applied before the activity
is added to RideCache and metrics are computed, this behavior is
by design, likely to optimize resource usage on bulk import.
So activityMetrics API is not available; a new getTag API was
added for this case and setTag/delTag/hasTag changed to work
in this context too.
When the Python fix is executed on activities already in the cache
either via Edit menu, Filters or other Python Fix changes are
notified via the corresponding RideItem.
Fixes #4095
[publish binaries]
2023-03-05 16:26:25 -03:00
2021-10-06 11:01:04 +01:00
2018-06-02 11:01:43 +01:00
2019-03-12 19:16:22 +00:00
2022-10-30 12:16:46 -03:00
2021-11-08 17:05:21 +00:00

GoldenCheetah

About

GoldenCheetah is a desktop application for cyclists and triathletes and coaches, providing a rich set of tools and models to analyse, track and predict performance, optimise aerodynamics and train indoors.

GoldenCheetah integrates with most popular cloud services like Strava and Todays Plan, imports data from bike computers, imports downloads from any website like TrainingPeaks and Garmin and will also connect to smart trainers using ANT+ and Bluetooth.

GoldenCheetah is free for everyone to use and modify, released under the GPL v2 open source license with pre-built binaries for Mac, Windows and Linux.

Installing

Golden Cheetah install and build instructions are documented for each platform;

INSTALL-WIN32 For building on Microsoft Windows

INSTALL-LINUX For building on Linux

INSTALL-MAC For building on Apple OS X

macOS and Linux: Build Status

Windows: Build status

Coverity Status

Official release builds, snapshots and development builds are all available from http://www.goldencheetah.org

NOTIO Fork

If you are looking for the NOTIO fork of GoldenCheetah it can be found here: https://github.com/notio-technologies/GCNotio

Languages
Standard ML 68.3%
C++ 28.1%
C 2.7%
Yacc 0.2%
QMake 0.2%
Other 0.1%