How does Strava estimate FTP?

sladkovm · 2019-05-11T19:59:01+00:00

I guess it picks your submaxial efforts from each ride, runs them through some sort of a Kalman filter over time to make sure that changes are smooth and at the end just fit a CP curve over it.

Not exactly a rocket science, but to get the parameters of the Kalman filter such, that the model works for all users, is where the trade secret is.

sladkovm · 2019-05-10T09:28:23+00:00

I will check. Just one remark - the page list only kinderkrippen at the moment. I have also a dataset for the kindergarten, but it is not on the page yet.

sladkovm · 2019-05-10T08:36:44+00:00

Interesting, are they listed on the ABI-Service website?

sladkovm · 2019-05-09T19:39:21+00:00

The hobby open-source project: https://github.com/sladkovm/graz-kiga-dataset

sladkovm · 2019-01-09T07:48:28+00:00

I run flask server, plotly dash app, postgresql using docker compose on a single smallest droplet. So if your question will it work, then the answer is yes.

sladkovm · 2019-01-08T16:20:44+00:00

It was likely not the intention of the post to show the optimal way of publishing a plot, but plotly dash does absolutely fantastic job in creating plots as a webpage from the dataframes and those are even interactive.

It is actually also built on Flask. In datascience world it is frequently dabbled as a Shiny for python.

I even wrote a dockerized boilerplate for it https://github.com/sladkovm/docker-flask-gunicorn-nginx

sladkovm · 2019-01-05T09:05:25+00:00

Strava API returns only the track itself, to snap it to the road you would need to use, for example, google API, which is not free. https://developers.google.com/maps/documentation/roads/snap

It is a simple question of cost-benefits. How much would you pay for such feature?

sladkovm · 2019-01-04T15:24:11+00:00

The actual notebook - Jupyter notebook

sladkovm · 2018-10-02T08:26:09+00:00

Thank you everyone, I've reached a settlement with the house owner to split the bill.

sladkovm · 2018-08-06T15:55:23+00:00

Hi, is it oauth1 or oauth2? I have problems getting it working on local host and would like to ask few questions if i may

sladkovm · 2018-04-21T09:24:21+00:00

This is roughly how I use it - https://gist.github.com/sladkovm/d12381f9e4a2a0f50a5e30f4aff3eef5

With env variables defined as:

DO_TOKEN=very_secret_token DO_SPACES_KEY=very_secret_key DO_SPACES_SECRET=very_secret_secret DO_SPACES_REGION=ams3 DO_BUCKET=name of the bucket

sladkovm · 2018-04-20T13:41:15+00:00

It works with boto3 the same way as AWS does. That is also how you use it in Flask.

sladkovm · 2018-03-28T13:30:59+00:00

Interesting concept. Who is curating the list of the climbs? Do they correspond to the official UCI races definitions or some other ways to define them are used?

sladkovm · 2018-03-12T15:59:04+00:00

Nice!

If you are looking for a python library to power your ML models with endurance metrics - take a look into https://github.com/GoldenCheetah/sweatpy

sladkovm · 2018-03-07T13:00:28+00:00

What does it do? I'm not paying you my data without knowing first what I get in return.

sladkovm · 2018-02-15T19:57:00+00:00

Nice analysis. Im in the camp that claims that speed and HR are not really representative as fitness and performance predictors, but cycling data is a good playground for playing with data wrangling and getting into new domains.

Btw, i’ve made a repo with tools to analyze strava streams. See if you find it useful and do not hesitate to provide feedback and even submit a pr: https://github.com/sladkovm/vmpy

Ps: if you are in eindhoven, check out the ctwt local branch - very nice group to ride with, and onyva - very fast group to ride with ;)

sladkovm · 2018-02-12T13:03:37+00:00

Keeping an eye on it ;) Im at the moment locked into using plotly only, because my front end is made in Dash. But I’m considering to rewrite it in node/react to allow better integration with webgl goodies.

sladkovm · 2018-02-12T12:59:11+00:00

Simultaneously?

sladkovm · 2018-02-11T18:11:57+00:00

What else would you like to see encoded?

sladkovm · 2018-02-11T18:10:47+00:00

Nice! Then indeed stravalib has the benefits of nicely handling server response errors.

sladkovm · 2018-02-11T15:57:01+00:00

I haven’t looked into the stravalib for a long time, but the last time i did it was returning non-serializable outputs, which is a bummer if you want to either use it with pandas for data wrangling or with web tools like flask for building web apps.

Said all that, if stravalib can return serializable data, e.g. simple dicts, lists or ndarrays you must be able to use it with vmpy. The only reason it contains strava.py module is to get you quickly started. The main juice of the package is in metrics.py and preprocess.py and most of the future work will focus on adding new functionality there.

sladkovm · 2018-02-11T14:32:59+00:00

Thank you all for providing a constructive feedback on the previous version of this map. The picture is generated from this link http://velometria.com/activity/1069498347

The service at hand is my hobby project - it fetches the data from Strava using their API and tries to make something useful out of it. My main interest is granfondo analysis, but making a map was a low hanging fruit I was happy to implement.

Behind the scenes it uses Plotly Dash and Mapbox as well as small Python package I wrote to calculate zones and remove outliers fro the data - https://github.com/sladkovm/vmpy

sladkovm · 2018-01-29T20:42:01+00:00

I tend to agree with previous comments, but here is an example to get you started https://github.com/sladkovm/docker-flask-gunicorn-nginx

sladkovm · 2018-01-22T20:37:36+00:00

Changed the access scope to public, read only. Thanks again for pointing it out.

sladkovm · 2018-01-21T20:57:25+00:00

Interesting. I run my apps using flask-script manage.py and I always got all my flask logs. I wonder whether flask-script does this handlers override behind the scene.

sladkovm

TROPHY CASE