Skip to main content

publicdata-au

Query and download Australian government open data from publicdata.au. publicdata.au republishes datasets that governments already publish under open licences, keeps every version at a URL that never changes, and serves each one in ten formats with a query API.

This package works for every dataset the site serves, named by its slug, so a dataset added to the site needs no new release.

pip install publicdata-au            # queries and downloads, no dependencies
pip install "publicdata-au[pandas]"  # adds read() into a pandas DataFrame

Find a dataset

import publicdata_au as pd_au

pd_au.datasets("road crashes")  # slug, title, publisher, licence and page of each match
pd_au.versions("au-road-deaths")  # every version kept, newest first

Query rows and totals

from publicdata_au import gte, in_

deaths = pd_au.rows(
    "au-road-deaths",
    {"state": in_("QLD", "NSW"), "year": gte(2020)},
    select=["state", "year", "road_user"],
    order="year.desc",
    all=True,
)
deaths.version  # the version the rows came from
deaths.attribution  # the attribution the publisher's licence requires
deaths.to_pandas()

pd_au.aggregate("au-road-deaths", group="state", metric="count", where={"year": 2025})

A plain value must match exactly, a list matches any of its values and None matches a blank or suppressed cell. The filters are eq, neq, gt, gte, lt, lte, like, ilike, in_, is_null and not_.

Without version= an answer comes from the newest version and changes when the publisher releases again. Pass a date from versions() for an answer that never changes.

Whole tables

df = pd_au.read("au-road-deaths")  # needs the [pandas] extra
df.attrs["publicdata"]  # the version, licence and attribution the file itself carries
pd_au.download(
    "au-road-deaths", "csv"
)  # parquet, csv, csv.gz, json, ndjson, sqlite, xlsx, arrow, geojson, gpkg

Files have no rate limit. The query API allows 60 requests in 10 seconds from one address, and this package waits and retries when it answers 429.

Licence and attribution

The data is under each publisher's own licence, which requires the attribution string that every answer carries. Please also name publicdata.au and link to the version you used. publicdata.au is an independent republication, and the publishers have not endorsed it.

The package itself is under the MIT licence.

Metadata

Release files for publicdata-au 0.1.0

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

Source distribution (sdist)

Source distribution for publicdata-au 0.1.0
File Size Uploaded
publicdata_au-0.1.0.tar.gz 9.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for publicdata-au 0.1.0
File Interpreter ABI Platform
publicdata_au-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 17.5 kB

Release files / publicdata_au-0.1.0.tar.gz

Download URL publicdata_au-0.1.0.tar.gz
Size 9.7 kB
Tags Source
SHA-256 checksum
How to use checksums
7bbbf15b71ac0304fadc515ec2a3ef351f6a3bca07f13a34dad611392cd6a95b
BLAKE2b-256 checksum
How to use checksums
60a8426cc81c950ee9d98d69609a9d3da2d263833e829fe66a6e000b77f4de6a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.

Transparency log

Release files / publicdata_au-0.1.0-py3-none-any.whl

Download URL publicdata_au-0.1.0-py3-none-any.whl
Size 7.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2080da911f48fb1d321c7200632d56bb01103c04db73909e1297e725443d5b24
BLAKE2b-256 checksum
How to use checksums
1d47f5bc37baa679196b21b11783e99cbd5eb17b840a17a2ad80391ceb2b7204
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 1, 2026.

Transparency log

Release history Release notifications | RSS feed

0.4.0

2 release files

0.3.0

2 release files

0.2.0

2 release files

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page