# sobri909/LocoKit

Location, motion, and activity recording framework for iOS

Repository: https://github.com/sobri909/LocoKit
Canonical: https://ross.abutalabs.com/products/locokit
Homepage: https://www.bigpaua.com/locokit/
Language: Swift
License: LGPL-3.0
License Family: copyleft
Topics: ios, framework, swift, location, gps, corelocation, coremotion
Last push: 2025-03-25T07:17:54+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 13, release rhythm 8, longevity 100
- inputs: {"age_days": 3337, "days_push": 526, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1541, forks 104 (observed 2026-08-28T04:05:00.578668+00:00)

## What it is
LocoKit is a Swift framework for iOS that combines Core Location and Core Motion recording with machine learning based activity type detection. It provides filtered location/motion data, stationary/moving state detection, battery-efficient all-day recording, and optional high-level Path and Visit timeline items with local persistence.

## Use cases
- record gps location and motion data all day without draining the battery
- detect whether the user is walking, running, cycling, or driving
- distinguish transport modes like car, train, bus, or airplane
- build a timeline of visits and trips from raw location samples
- smooth and filter noisy core location data in an ios app
- persist location activity history locally between app sessions

## When to choose
- you are building an iOS app that needs continuous background location and activity tracking
- you want ML-based transport mode detection beyond what Core Motion provides
- you need battery-efficient all-day recording with automatic start/stop
- you want human-level visit and path timeline items instead of raw GPS points

## When to avoid
- you need location tracking on Android or cross-platform
- you only need simple one-shot location fixes without motion analysis
- your app is not on the iOS platform

## Facets
- artifact type: framework
- maturity: active
- function: machine-learning, sdk, geospatial
- domain: mobile-development, machine-learning
- platform: -
- tags: corelocation, coremotion, gps-tracking, activity-detection, timeline, battery-efficiency, maps, ios, swift, mobile

## Member repositories
- sobri909/LocoKit (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:00.578668+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:48.842541+00:00, confidence not recorded.
  - readme: https://github.com/sobri909/LocoKit (fetched 2026-08-28T04:05:00.578668+00:00, sha fb20e4c06bc6)
  - homepage: https://www.bigpaua.com/locokit/ (fetched 2026-08-29T11:32:13.118484+00:00, sha dabecc86157c)
  - site_page: https://www.bigpaua.com/locokit/docs (fetched 2026-08-29T11:32:13.121514+00:00, sha 6ce5da122309)
- Data as of 2026-08-30T08:39:29.467469+00:00.