Parse a magnet URI and return an object of keys/values

MIT License

magnet-uri

SpriteKit Floating Bubble Picker (inspired by Apple Music) 🧲

Magnetic


Description


One-Tap Sensor Logger in Your Pocket with Watch, Streaming, Bluetooth, Rule Engine & Crowd-Source StudySensor Logger collects, records and displays data from a range of sensors on iPhone, Apple Watch, iPad and AirPods â including accelerometer, gyroscope, GPS, audio, camera and Bluetooth devices. You can log device properties such as screen brightness, battery and network state. Select and preview desired sensors in a few taps. A single tap initiates the recording function, which works even when the app is in the background. View and manage recordings within the app via interactive plots. The app supports many export formats, including Zipped CSV, JSON, Excel, KML and SQLite. For advanced use cases, you can stream data via HTTP, resample measurements from multiple sensors, create Studies to collect data from other users systematically and write custom automation rules based on sensor, time and location.Sensor Logger is designed for researchers, educators, and anyone interested in collecting or monitoring sensors on their smartphone. It serves as the ultimate toolbox for exploring various fields, including physics, science, technology, engineering, and mathematics (STEM).Main Features- One-tap logging- Background recording- Recordings on interactive plots- Stream data via HTTP- Intelligent, custom rule engine- Zipped CSV, JSON, Excel, KML & SQLite exports- Resample and aggregate measurements- Enable & disable specific sensors- Scan and log nearby Bluetooth devices- Add timestamp-synchronised annotations during recording- Adjust sampling frequency for sensor groups- Custom recording workflow- Raw and calibrated measurements available- Live plots and readings for sensors- Organise, sort and filter recordings- Control & track recording session from Watch- Bulk export & delete recordings- Resources to help you analyse your data- Data stays on-device and privateStudies & Sensor Logger Cloud- Create Studies to collect data from other Sensor Logger users.- When a Study is activated, the exact sensor configuration, as prescribed by the investigator, is used to ensure data collection consistency.- Study participants can seamlessly upload their recordings to a secure cloud.- Create custom questionnaires, filled out by the participants.- Create Studies with clear data usage descriptions, privacy statements and contacts to ensure compliance.- Keep track of participant count, recording number, and other statistics.Optional Paid Features (Plus, Pro & Ultimate)- No limitations on the number of stored recordings- Additional export formats- Combined CSV export- Customise recording workflow- Advanced sensor configurations- Custom naming templates- Theme and icon customisations- Unlimited number of simultaneously toggled Bluetooth sensors and no limit on the minimum RSSI- Create larger Studies with more participants- More allocated storage for Studies using Sensor Logger Cloud- Email support- Advanced study customisation, including creating custom accompanying questionnaires and custom Study IDSupported Measurements- Device Acceleration (Accelerometer; Raw & Calibrated)- Gravity Vector (Accelerometer)- Device Rotation Rate (Gyroscope)- Device Orientation (Gyroscope; Raw & Calibrated)- Magnetic Heading (Magnetometer; Raw & Calibrated)- Barometric Altitude (Barometer)- GPS Coordinate, Altitude, Speed & Heading- Audio (Microphone)- Loudness (Microphone)- Camera Images (Front & Back)- Camera Video (Front & Back)- Pedometer- Heart Rate (Requires watch)- Wrist Motion (Requires watch)- Annotations (Timestamp and text)- Device battery level and state- Device screen brightness level- Nearby Bluetooth beacons (advertised data)- Headphone Motion (AirPods)- NetworkNote that heart rate logging requires integration with the Health app on the watch. Permission to access the heart rate from HealthKit on the watch is needed for the app to log the measurements.Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/




GNU General Public License v3.0

gyroflow

Mount a torrent (or magnet link) as a filesystem in real time using torrent-stream and fuse. AKA MAD SCIENCE!

torrent-mount

AS560 Micropython library for reading this magnetic sensor

AS5600

Simple access to the g-force linear acceleration, gauss magnetic and dps angular rate sensors of the LSM9DS0 through I2C.

magnet-uri

Magnetic

gyroflow

torrent-mount

AS5600

micropython-lsm9ds0