mvexel

Ronde: privacy policy

Ronde is a personal Android app (phone and Wear OS watch) that plays planned workouts from intervals.icu and uploads the recordings back to intervals.icu.

• What it accesses: with your permission (OAuth scopes CALENDAR:READ and ACTIVITY:WRITE) Ronde reads your planned workouts and uploads activities you record with it.
• Where data goes: only between your phone, your watch and intervals.icu. Ronde has no server of its own, no analytics, no ads, and shares nothing with third parties.
• What is stored: your intervals.icu access token, encrypted with the Android Keystore on your phone; synced workouts and your recordings, on your phone and watch.
• Removing access: log out in Ronde, or revoke the app at https://intervals.icu/settings/apps. Uninstalling the app deletes everything it stored.
• Contact: Martijn van Exel, via https://github.com/mvexel.

mvexel

-- Define shops table
local shops = osm2pgsql.define_table({
    name = 'shops',
    ids = {
        type = 'any',
        id_column = 'osm_id',
        type_column = 'osm_type'
    },
    columns = {
        {

mvexel

-- Define shops table
local poi = osm2pgsql.define_table({
    name = 'poi',
    ids = {
        type = 'any',
        id_column = 'osm_id',
        type_column = 'osm_type'
    },
    columns = {{
        column = 'name',

mvexel

#!/usr/bin/env python

# Load taginfo CSVs and generate mappings.json

import json
import httpx

TAGINFO_PRIMARY_KEYS_URL = "https://taginfo.openstreetmap.org/api/4/key/values?key={key}&filter=all&lang=en&sortname=count&sortorder=desc&rp=100&page=1"
TAGINFO_COMBINATIONS_URL = "https://taginfo.openstreetmap.org/api/4/tag/combinations?key={key}&value={value}&filter=all&sortname=to_count&sortorder=desc&rp=19&page=1"

mvexel

mvexel

D SELECT
      confidence_bucket,
      place_count,
      ROUND(100.0 * place_count / SUM(place_count) OVER (), 2) AS percentage,
      ROUND(100.0 * SUM(place_count) OVER (ORDER BY confidence_bucket DESC) / SUM(place_count) OVER (), 2) AS pct_at_or_above
  FROM (
      SELECT
          FLOOR(confidence * 10) / 10 AS confidence_bucket,
          COUNT(*) AS place_count
      FROM read_parquet('s3://overturemaps-us-west-2/release/2025-10-22.0/theme=places/type=place/*')

mvexel

#!/usr/bin/env python3
"""
Photo sorting script that organizes photos by camera/model and then by year/month
based on EXIF data.
"""

import os
import shutil
import argparse
import logging

mvexel

import csv
import requests

mr_challenge_list_endpoint = "https://maproulette.org/api/v2/challenges?limit={limit}&page={page}"
mr_challenge_endpoint = "https://maproulette.org/api/v2/challenge/{id}"
page = 0
limit = 100

instr_list = []

mvexel

#!/bin/bash
DIR=~/osm/data/us-cities/
for city in austin charlotte chicago columbus dallas denver fort_worth houston indianapolis jacksonville los_angeles new_york_city philadelphia phoenix san_antonio san_diego san_francisco san_jose seattle washington_dc; do
    echo "Processing $city (file $DIR${city}.osm.pbf)"
    osmium tags-filter --overwrite -o $DIR${city}-just-freeways.osm.pbf $DIR${city}.osm.pbf w/highway=motorway,motorway_link,trunk,trunk_link
    osmium cat --overwrite -o $DIR${city}-just-freeway-nodes.osm.pbf $DIR${city}-just-freeways.osm.pbf -t node
done

mvexel

{
  "extracts": [
    {
      "output": "new_york_city.osm.pbf",
      "output_format": "pbf",
      "description": "New York City, NY",
      "bbox": {
        "left": -74.2591,
        "bottom": 40.4774,
        "right": -73.7004,