whereami 0.4.90
Uses WiFi to tell you where you are
whereami is a Python library that leverages the power of machine learning and WiFi signals to predict your location. It's a cross-platform solution that works on OSX, Windows, and Linux. The library uses sklearn's RandomForest for learning and prediction, making it capable of distinguishing between small distances, such as different rooms in a house or different seats in a room. The library provides a simple interface for training the model on different locations and predicting the current location.
Stars: 5108, Watchers: 5108, Forks: 246, Open Issues: 15The kootenpv/whereami
repo was created 8 years ago and the last code push was 10 months ago.
The project is extremely popular with a mindblowing 5108 github stars!
How to Install whereami
You can install whereami using pip
pip install whereami
or add it to a project with poetry
poetry add whereami
Package Details
- Author
- Pascal van Kooten
- License
- MIT
- Homepage
- https://github.com/kootenpv/whereami
- PyPi:
- https://pypi.org/project/whereami/
- GitHub Repo:
- https://github.com/kootenpv/whereami
Classifiers
- Software Development
- Software Development/Libraries
- Software Development/Libraries/Python Modules
- System/Software Distribution
- System/Systems Administration
- Utilities
Related Packages
Errors
A list of common whereami errors.
Code Examples
Here are some whereami
code examples and snippets.