https://github.com/urschrei/pypolyline

Fast Google Polyline encoding and decoding using a Rust binary
https://github.com/urschrei/pypolyline

computational-geometry cython gis google-maps google-polyline polyline rust

Last synced: 5 days ago
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Fast Google Polyline encoding and decoding using a Rust binary

• Host: GitHub
• URL: https://github.com/urschrei/pypolyline
• Owner: urschrei
• License: other
• Created: 2016-07-14T17:20:29.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2024-12-09T16:51:45.000Z (25 days ago)
• Last Synced: 2024-12-22T13:07:49.264Z (12 days ago)
• Topics: computational-geometry, cython, gis, google-maps, google-polyline, polyline, rust
• Language: Python
• Homepage: https://pypi.python.org/pypi/pypolyline
• Size: 1.12 MB
• Stars: 40
• Watchers: 4
• Forks: 2
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Citation: CITATION.cff

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README

        
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# Fast Google [Polyline](https://developers.google.com/maps/documentation/utilities/polylinealgorithm) Encoding and Decoding

## Installation

`pip install pypolyline`  

### Supported Python Versions

- Python 3.9

- Python 3.10

- Python 3.11

- Python 3.12

- Python 3.13

### Supported Platforms

- Linux (`manylinux*`-compatible, x86_64 and aarch64)

- macOS (x86_64 and arm64)

- Windows 64-bit

## Usage

Coordinates must be in (`Longitude, Latitude`) order

```python

from pypolyline.cutil import encode_coordinates, decode_polyline

coords = [

            [52.64125, 23.70162],

            [52.64938, 23.70154],

            [52.64957, 23.68546],

            [52.64122, 23.68549],

            [52.64125, 23.70162]

         ]

# precision is 5 for Google Polyline, 6 for OSRM / Valhalla

polyline = encode_coordinates(coords, 5)

# polyline is 'ynh`IcftoCyq@Ne@ncBds@EEycB'

decoded_coords = decode_polyline(polyline, 5)

```

## Error Handling

Failure to encode coordinates, or to decode a supplied Polyline, will raise a `RuntimeError` containing information about the invalid input.

## How it Works

FFI and a [Rust binary](https://github.com/urschrei/polyline-ffi)

## Is It Fast

…Yes.  

You can verify this by installing the `polyline` package, then running [`benchmarks.py`](benchmarks.py), a calibrated benchmark using `cProfile`.  

On an M2 MBP, The [pure-Python](https://pypi.org/project/polyline/) test runs in ~2500 ms, the [Flexpolyline](https://pypi.org/project/flexpolyline/) benchmark runs in ~1500 ms and The Rust + Cython benchmark runs in around 80 ms (30 x and 17.5 x faster, respectively).

## License

[The Blue Oak Model Licence 1.0.0](LICENCE.md)

## Citing `Pypolyline`

If Pypolyline has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing it as follows (example in APA style, 7th edition):

> Hügel, S. (2021). Pypolyline (Version X.Y.Z) [Computer software]. https://doi.org/10.5281/zenodo.5774925

In Bibtex format:

    @software{Hugel_Pypolyline_2021,

    author = {Hügel, Stephan},

    doi = {10.5281/zenodo.5774925},

    license = {MIT},

    month = {12},

    title = {{Pypolyline}},

    url = {https://github.com/urschrei/simplification},

    version = {X.Y.Z},

    year = {2021}

    }