namur 2.0.0

Asynchronous Python client for the open datasets of Namur (Namen - Belgium).

About

A python package with which you can retrieve data from the Open Data Platform of Namur via their API. This package was initially created to only retrieve parking data from the API, but the code base is made in such a way that it is easy to extend for other datasets from the same platform.

Installation

pip install namur

Datasets

You can read the following datasets with this package:

• Parking / Parking - Emplacements

Example

import asyncio

from namur import ODPNamur, ParkingType


async def main() -> None:
    """Show example on using the API of Namur."""
    async with ODPNamur() as client:
        parkings = await client.parking_spaces(
            limit=10, parking_type=ParkingType.NORMAL
        )
        print(parkings)


if __name__ == "__main__":
    asyncio.run(main())

Complete parking collections

Use parking_collection() when a consumer needs the whole selected parking dataset. The existing parking_spaces(limit=...) method remains available for capped queries.

async with ODPNamur() as client:
    collection = await client.parking_collection(ParkingType.PMR, max_records=10000)
    for record in collection.records:
        print(record.spot_id, record.source_attributes)

Every successful ParkingCollection uses the same result fields:

The client checks page sizes, reported counts and nonblank unique original identifiers across every page. It compares the dataset processing revision before and after collection and retains original source fields in each record's source_attributes. A valid empty selection returns a complete collection with zero records. Source errors, missing revision metadata, changing counts or revisions, incomplete pages and invalid or duplicate records raise an exception instead of returning a partial collection.

max_records is a safety ceiling, never a truncation limit. It must be a positive integer (not a boolean) at most 10,000, matching the supported Opendatasoft search range. A larger selection raises ODPNamurResultsError; an invalid ceiling raises ValueError before any request.

These checks detect observed inconsistencies. Namur does not provide a transactional snapshot token: an unchanged processing timestamp cannot prove that records were immune to concurrent source updates.

Use cases

NIPKaart.nl

A website that provides insight into where disabled parking spaces are, based on data from users and municipalities. Operates mainly in the Netherlands, but also has plans to process data from abroad.

Contributing

This is an active open-source project. We are always open to people who want to use the code or contribute to it.

We've set up a separate document for our contribution guidelines.

Thank you for being involved! 😍

Setting up development environment

The simplest way to begin is by utilizing the Dev Container feature of Visual Studio Code or by opening a CodeSpace directly on GitHub. By clicking the button below you immediately start a Dev Container in Visual Studio Code.

This Python project relies on uv as its dependency manager, providing comprehensive management and control over project dependencies. You need at least:

• Python 3.12+
• uv

Installation

Install all packages, including all development requirements:

uv sync --locked

uv creates a project virtual environment in .venv and installs the locked dependencies.

Prek

This repository uses the prek framework, all changes are linted and tested with each commit. To setup the prek check, run:

uv run prek install

And to run all checks and tests manually, use the following command:

uv run prek run --all-files

Testing

It uses pytest as the test framework. To run the tests:

uv run pytest

To update the syrupy snapshot tests:

uv run pytest --snapshot-update

License

MIT License

Copyright (c) 2022-2026 Klaas Schoute

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.