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whereami 0.4.90

0

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: 5104, Watchers: 5104, Forks: 249, Open Issues: 15

The kootenpv/whereami repo was created 7 years ago and the last code push was 7 months ago.
The project is extremely popular with a mindblowing 5104 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
No  whereami  pypi packages just yet.

Errors

A list of common whereami errors.

Code Examples

Here are some whereami code examples and snippets.

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