MEOS (Mobility Engine, Open Source) is a C library which enables the manipulation of temporal and spatio-temporal data based on MobilityDB's data types and functions.

PyMEOS is a library built on top of MEOS that provides all of its functionality wrapped in a set of Python classes.

For the PyMEOS CFFI library, the middle layer between MEOS and PyMEOS, see the PyMEOS CFFI repository.

Usage

Installation

You can install PyMEOS (pymeos and pymeos-cffi) using pip, conda, or from sources.

Using pip

pip install pymeos

PyMEOS wheel should be compatible with any system, but it is possible that the pre-built distribution is not available for PyMEOS CFFI for some OS/Architecture.

Using conda

PyMEOS is also available on the conda-forge channel. To install it, first add the conda-forge channel to your conda configuration:

conda config --add channels conda-forge
conda config --set channel_priority strict

Then, you can install PyMEOS using the following command:

conda install conda-forge::pymeos

Source installation

For detailed instructions on how to install PyMEOS from sources, see the installation page in the PyMEOS Documentation.

Sample code

IMPORTANT Before using any PyMEOS function, always call pymeos_initialize. Otherwise, the library will crash with a Segmentation Fault error. You should also always call pymeos_finalize at the end of your code.

from pymeos import pymeos_initialize, pymeos_finalize, TGeogPointInst, TGeogPointSeq

# Important: Always initialize MEOS library
pymeos_initialize()

sequence_from_string = TGeogPointSeq(
    string='[Point(10.0 10.0)@2019-09-01 00:00:00+01, Point(20.0 20.0)@2019-09-02 00:00:00+01, Point(10.0 10.0)@2019-09-03 00:00:00+01]')
print(f'Output: {sequence_from_string}')

sequence_from_points = TGeogPointSeq(instant_list=[TGeogPointInst(string='Point(10.0 10.0)@2019-09-01 00:00:00+01'),
                                                   TGeogPointInst(string='Point(20.0 20.0)@2019-09-02 00:00:00+01'),
                                                   TGeogPointInst(string='Point(10.0 10.0)@2019-09-03 00:00:00+01')],
                                     lower_inc=True, upper_inc=True)
speed = sequence_from_points.speed()
print(f'Speeds: {speed}')

# Call finish at the end of your code
pymeos_finalize()

Output: [POINT(10 10)@2019-09-01 01:00:00+02, POINT(20 20)@2019-09-02 01:00:00+02, POINT(10 10)@2019-09-03 01:00:00+02]
Speeds: Interp=Step;[17.84556057812839@2019-09-01 01:00:00+02, 17.84556057812839@2019-09-03 01:00:00+02]

For more examples and use-cases, see PyMEOS Examples repository

Documentation

Visit our ReadTheDocs page for a more complete and detailed documentation, including an installation manual and several examples.

Metadata

Release files for pymeos 1.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pymeos 1.1.5
File	Size	Uploaded
pymeos-1.1.5.tar.gz	87.9 kB	Aug 14, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for pymeos 1.1.5
File	Interpreter	ABI	Platform	Reset
pymeos-1.1.5-py3-none-any.whl 128.6 kB Aug 14, 2025	Python 3	none	any	Details

Total release size: 216.5 kB

Release files / pymeos-1.1.5.tar.gz

Download URL	pymeos-1.1.5.tar.gz
Size	87.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`e950a417da2d877111e98b2d77bb4c85167af19275b50560e351f9bf59bdfd70`
BLAKE2b-256 checksum How to use checksums	`61b74d53f826360cf282ef57d19fcc1d239b01db785580af4da8cef644ac2dcc`
Upload date	Aug 14, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/MobilityDB/PyMEOS
Publishing commit: github.com/MobilityDB/PyMEOS/tree/68dde315da9fe20bf10e3de03de2496e07000b63

Workflow

Publishing configuration: github.com/MobilityDB/PyMEOS/blob/68dde315da9fe20bf10e3de03de2496e07000b63/.github/workflows/release_and_publish.yml
Publishing logs: github.com/MobilityDB/PyMEOS/actions/runs/16965769143/attempts/1

Artifact

Subject: pymeos-1.1.5.tar.gz
SHA-256 checksum: e950a417da2d877111e98b2d77bb4c85167af19275b50560e351f9bf59bdfd70 Verifying attestations

Release files / pymeos-1.1.5-py3-none-any.whl

Download URL	pymeos-1.1.5-py3-none-any.whl
Size	128.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`f967e0364b91c1eabd61e37705181c1047a1d213e6c5d57f0165e91bbb4e3b16`
BLAKE2b-256 checksum How to use checksums	`673b9a0c40cd5398b12d8bd35c87f8cc2294bf6883459f162d151a027506606f`
Upload date	Aug 14, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/MobilityDB/PyMEOS
Publishing commit: github.com/MobilityDB/PyMEOS/tree/68dde315da9fe20bf10e3de03de2496e07000b63

Workflow

Publishing configuration: github.com/MobilityDB/PyMEOS/blob/68dde315da9fe20bf10e3de03de2496e07000b63/.github/workflows/release_and_publish.yml
Publishing logs: github.com/MobilityDB/PyMEOS/actions/runs/16965769143/attempts/1

Artifact

Subject: pymeos-1.1.5-py3-none-any.whl
SHA-256 checksum: f967e0364b91c1eabd61e37705181c1047a1d213e6c5d57f0165e91bbb4e3b16 Verifying attestations