CentauroDB
Pydantic-native storage for time-series and evolving data models. SQLite + PostgreSQL, schema evolution without migrations, built-in Polars DataFrames.
📖 Documentation
Everything is at cdb-nuxt.vercel.app — quickstart, guides, API reference, design notes.
Install
pip install centaurodb
Taste
from centaurodb import Engine, Collection, CentauroModel
class Book(CentauroModel):
__centauro_name__ = "book"
title: str = ""
rating: float = 0.0
books = Collection(Engine("library.db"), "library")
books.write_object(Book(title="Dune", rating=4.8))
for book in books.read_objects(Book.fields.rating > 4.5):
print(book.title, book.rating)
Adding a field to a model never requires a migration — give it a
default value and old rows keep loading. Time-series are first-class:
TimeSeriesCollection reads back as a Polars DataFrame via .df.
License
MIT — see LICENSE. Release history in CHANGELOG.md.
1 maintainer
Metadata
1 maintainer
Release files for centaurodb 0.10.0
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| File | Size | Uploaded | Provenance | Actions |
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| centaurodb-0.10.0-py3-none-any.whl | Python 3 | none | any | Details for centaurodb-0.10.0-py3-none-any.whl |
Total release size: 135.1 kB
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