plateau
flat files, flat land
plateau is a Python library to manage (create, read, update, delete) large
amounts of tabular data in a blob store. It stores data as datasets, which
it presents as pandas DataFrames to the user. Datasets are a collection of
files with the same schema that reside in a blob store. plateau uses a metadata
definition to handle these datasets efficiently. For distributed access and
manipulation of datasets plateau offers a Dask interface.
Storing data distributed over multiple files in a blob store (S3, ABS, GCS, etc.) allows for a fast, cost-efficient and highly scalable data infrastructure. A downside of storing data solely in an object store is that the storages themselves give little to no guarantees beyond the consistency of a single file. In particular, they cannot guarantee the consistency of your dataset. If we demand a consistent state of our dataset at all times, we need to track the state of the dataset. plateau frees us from having to do this manually.
The plateau.io module provides building blocks to create and modify these
datasets in data pipelines. plateau handles I/O, tracks dataset partitions
and selects subsets of data transparently.
Installation
This project is managed by pixi. You can install the package in development mode using:
git clone https://github.com/data-engineering-collective/plateau
cd plateau
pixi run pre-commit-install
pixi run postinstall
pixi run test
Plateau is also available on PyPI and
can be installed through pip:
pip install plateau
Contributing
Find details on how to contribute here.
Release files for plateau 4.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| plateau-4.6.2.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| plateau-4.6.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.3 MB
Release files / plateau-4.6.2.tar.gz
| Download URL | plateau-4.6.2.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Sep 22, 2025.
Transparency logRelease files / plateau-4.6.2-py3-none-any.whl
| Download URL | plateau-4.6.2-py3-none-any.whl |
|---|---|
| Size | 138.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9c8bc8f9a97568a2516f90e7e35dafd01d2489ffb1b7ea35fc050d0650249dfd
|
|
BLAKE2b-256 checksum How to use checksums |
496424f665301f26f06db9cc10baf555b83752732ffeb192aeea12dabb28591b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Sep 22, 2025.
Transparency log
