NeoBase

Minimalist GeoBases implementation:

no dependencies
compatible with Python 3.11+, CPython and PyPy
one data source: opentraveldata
one Python module for easier distribution on clusters (like Hadoop)
faster load time (5x)
tested with pytest and tox
passes static typing checks with ty

>>> from neobase import NeoBase
>>> b = NeoBase()
>>> b.get('ORY', 'city_code_list')
['PAR']
>>> b.get('ORY', 'city_name_list')
['Paris']
>>> b.get('ORY', 'country_code')
'FR'
>>> b.distance('ORY', 'CDG')
34.87...
>>> b.get_location('ORY')
LatLng(lat=48.72..., lng=2.35...)

Installation

Use the Python package:

pip install neobase

Docs

Check out readthedocs for the API.

You can customize the source data when initializing:

with open("file.csv") as f:
    N = NeoBase(f)

Otherwise the loaded file will be the embedded one, unless the OPTD_POR_FILE environment variable is set. In that case, it will load from the path defined in that variable.

You can manually retrieve the latest data source yourself too, but you expose yourself to some breaking changes if they occur in the data.

from io import StringIO
from urllib.request import urlopen

from neobase import NeoBase, OPTD_POR_URL

data = urlopen(OPTD_POR_URL).read().decode('utf8')
N = NeoBase(StringIO(data))
N.get("PAR")

The reference date of validity can be changed as well:

N = NeoBase(date="2000-01-01")
N.get("AIY")  # was decommissioned in 2015

By default, the reference date will be set to today, unless the OPTD_POR_DATE environment variable is set. In that case, it will use that value.

You can customize the behavior regarding duplicates: points sharing the same IATA code, like NCE as airport and NCE as city. By default everything is kept, but you can set it so that only the first point with an IATA code is kept:

N = NeoBase(duplicates=False)
len(N)  # about 10,000 "only"

Note that you can use the OPTD_POR_DUPLICATES environment variable to control this as well: set it to 0 to drop duplicates.

Finally, you can customize fields loaded by subclassing.

class SubNeoBase(NeoBase):
    KEY = 0  # iata_code

    # Those loaded fields are the default ones
    FIELDS = (
        ("name", 6, None),
        ("lat", 8, None),
        ("lng", 9, None),
        ("page_rank", 12, lambda s: float(s) if s else None),
        ("country_code", 16, None),
        ("country_name", 18, None),
        ('continent_name', 19, None),
        ("timezone", 31, None),
        ("city_code_list", 36, lambda s: s.split(",")),
        ('city_name_list', 37, lambda s: s.split('=')),
        ('location_type', 41, None),
        ("currency", 46, None),
    )

N = SubNeoBase()

Command-line interface

You can query the data using:

python -m neobase PAR NCE

Tests

tox

A note about performance

The geographical operations like N.find_near("ORY", 100) or N.find_closest_from("ORY") perform a full scan of the data, and are not optimized (remember that this library has no dependencies, by design).

If you want a more efficient solution, you should use a spatial index like a BallTree, for example using scikit-learn:

import numpy as np
from sklearn.neighbors import BallTree
from neobase import NeoBase

N = NeoBase()

iata_codes = []
coords = []
for key in N:
    lat, lon = N.get_location(key)
    if lat is not None and lon is not None:
        iata_codes.append(N.get(key, "iata_code"))
        coords.append([np.radians(lat), np.radians(lon)])
coords = np.array(coords)

tree = BallTree(coords, metric="haversine")

def find_closest_with_balltree(coord):
    point = np.radians(coord)
    _, idx = tree.query([point], k=1)
    iata_code = iata_codes[idx[0][0]]
    return iata_code

paris = (48.8566, 2.3522)
print(find_closest_with_balltree(paris))  # <0.1ms
print(list(N.find_closest_from_location(paris)))  # ~30ms

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neobase-0.36.2.tar.gz (4.2 MB view details)

Uploaded Aug 18, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

neobase-0.36.2-py3-none-any.whl (4.2 MB view details)

Uploaded Aug 18, 2026 Python 3

File details

Details for the file neobase-0.36.2.tar.gz.

File metadata

Download URL: neobase-0.36.2.tar.gz
Upload date: Aug 18, 2026
Size: 4.2 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for neobase-0.36.2.tar.gz
Algorithm	Hash digest
SHA256	`123d0e4584342f320121f6917e8c57597568b51296f911289b3e5a9214579a36`
MD5	`71c7e03c998bca64573cff72569e5663`
BLAKE2b-256	`0c99090491eb3b8a1aeea8d910a1526ddc5f95cb1b666ef3015d5eebcc0868b5`

See more details on using hashes here.

Provenance

The following attestation bundles were made for neobase-0.36.2.tar.gz:

Publisher: python-package.yml on alexprengere/neobase

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: neobase-0.36.2.tar.gz
- Subject digest: 123d0e4584342f320121f6917e8c57597568b51296f911289b3e5a9214579a36
- Sigstore transparency entry: 2501116295
- Sigstore integration time: Aug 18, 2026
Source repository:
- Permalink: alexprengere/neobase@d8b212abe2eca7be074eb968671cd8bea49d05d0
- Branch / Tag: refs/tags/v0.36.2
- Owner: https://github.com/alexprengere
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: python-package.yml@d8b212abe2eca7be074eb968671cd8bea49d05d0
- Trigger Event: push