dataframely

`dataframely` — A declarative, 🐻‍❄️-native data frame validation library

🗂 Table of Contents

Introduction
Installation
Usage

📖 Introduction

Dataframely is a Python package to validate the schema and content of polars data frames. Its purpose is to make data pipelines more robust by ensuring that data meets expectations and more readable by adding schema information to data frame type hints.

💿 Installation

You can install dataframely using your favorite package manager, e.g., pixi or pip:

pixi add dataframely
pip install dataframely

🎯 Usage

Defining a data frame schema

import dataframely as dy
import polars as pl

class HouseSchema(dy.Schema):
    zip_code = dy.String(nullable=False, min_length=3)
    num_bedrooms = dy.UInt8(nullable=False)
    num_bathrooms = dy.UInt8(nullable=False)
    price = dy.Float64(nullable=False)

    @dy.rule()
    def reasonable_bathroom_to_bedroom_ratio(cls) -> pl.Expr:
        ratio = pl.col("num_bathrooms") / pl.col("num_bedrooms")
        return (ratio >= 1 / 3) & (ratio <= 3)

    @dy.rule(group_by=["zip_code"])
    def minimum_zip_code_count(cls) -> pl.Expr:
        return pl.len() >= 2

Validating data against schema

import polars as pl

df = pl.DataFrame({
    "zip_code": ["01234", "01234", "1", "213", "123", "213"],
    "num_bedrooms": [2, 2, 1, None, None, 2],
    "num_bathrooms": [1, 2, 1, 1, 0, 8],
    "price": [100_000, 110_000, 50_000, 80_000, 60_000, 160_000]
})

# Validate the data and cast columns to expected types
validated_df: dy.DataFrame[HouseSchema] = HouseSchema.validate(df, cast=True)

See more advanced usage examples in the documentation.

Download files

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

Source Distribution

dataframely-2.13.1.tar.gz (459.6 kB view details)

Uploaded Jul 15, 2026 Source

Built Distributions

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.

dataframely-2.13.1-cp310-abi3-win_amd64.whl (8.6 MB view details)

Uploaded Jul 15, 2026 CPython 3.10+Windows x86-64

dataframely-2.13.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.6 MB view details)

Uploaded Jul 15, 2026 CPython 3.10+manylinux: glibc 2.17+ x86-64

dataframely-2.13.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (8.0 MB view details)

Uploaded Jul 15, 2026 CPython 3.10+manylinux: glibc 2.17+ ARM64

dataframely-2.13.1-cp310-abi3-macosx_11_0_arm64.whl (7.6 MB view details)

Uploaded Jul 15, 2026 CPython 3.10+macOS 11.0+ ARM64

dataframely-2.13.1-cp310-abi3-macosx_10_12_x86_64.whl (8.2 MB view details)

Uploaded Jul 15, 2026 CPython 3.10+macOS 10.12+ x86-64

File details

Details for the file dataframely-2.13.1.tar.gz.

File metadata

Download URL: dataframely-2.13.1.tar.gz
Upload date: Jul 15, 2026
Size: 459.6 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for dataframely-2.13.1.tar.gz
Algorithm	Hash digest
SHA256	`2ed77e2789b9049ac94b531432691d5f1a2726cee76332b1a5ba61d73916d430`
MD5	`3d4f807dac21782a9ae43dead852312a`
BLAKE2b-256	`7ac5d54e038e16ea856fe9c3b76f44cd4064d8ab1d692915807982fd66492639`

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataframely-2.13.1.tar.gz:

Publisher: build.yml on Quantco/dataframely

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: dataframely-2.13.1.tar.gz
- Subject digest: 2ed77e2789b9049ac94b531432691d5f1a2726cee76332b1a5ba61d73916d430
- Sigstore transparency entry: 2173054119
- Sigstore integration time: Jul 15, 2026
Source repository:
- Permalink: Quantco/dataframely@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Branch / Tag: refs/tags/v2.13.1
- Owner: https://github.com/Quantco
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: build.yml@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Trigger Event: release

File details

Details for the file dataframely-2.13.1-cp310-abi3-win_amd64.whl.

File metadata

Download URL: dataframely-2.13.1-cp310-abi3-win_amd64.whl
Upload date: Jul 15, 2026
Size: 8.6 MB
Tags: CPython 3.10+, Windows x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for dataframely-2.13.1-cp310-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`e86bf0fa03af1450da3c42a410d2acd322109de0eca596ffd7109934ba957896`
MD5	`c4b3973ee54e4f4be08b12fcf15e2460`
BLAKE2b-256	`9bfc0312c7f875c99e5a3ad19991a8faf3bd32624ec681dfbf4916eeffb70a29`

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataframely-2.13.1-cp310-abi3-win_amd64.whl:

Publisher: build.yml on Quantco/dataframely

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: dataframely-2.13.1-cp310-abi3-win_amd64.whl
- Subject digest: e86bf0fa03af1450da3c42a410d2acd322109de0eca596ffd7109934ba957896
- Sigstore transparency entry: 2173054139
- Sigstore integration time: Jul 15, 2026
Source repository:
- Permalink: Quantco/dataframely@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Branch / Tag: refs/tags/v2.13.1
- Owner: https://github.com/Quantco
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: build.yml@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Trigger Event: release

File details

Details for the file dataframely-2.13.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

Download URL: dataframely-2.13.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Upload date: Jul 15, 2026
Size: 8.6 MB
Tags: CPython 3.10+, manylinux: glibc 2.17+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for dataframely-2.13.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`812dd8000a8c5ffa7d468d5a6592c20f8b7ad65c8c3385b2a1b52d71f24bbaa7`
MD5	`20ad778e1cbbeb0b4aed82d43dc98df2`
BLAKE2b-256	`c2f4d77b7c025c521f0a3f6d8fed0dd0294a662db2f7d13efdfe82552c6c3b82`

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataframely-2.13.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: build.yml on Quantco/dataframely

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: dataframely-2.13.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Subject digest: 812dd8000a8c5ffa7d468d5a6592c20f8b7ad65c8c3385b2a1b52d71f24bbaa7
- Sigstore transparency entry: 2173054150
- Sigstore integration time: Jul 15, 2026
Source repository:
- Permalink: Quantco/dataframely@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Branch / Tag: refs/tags/v2.13.1
- Owner: https://github.com/Quantco
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: build.yml@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Trigger Event: release

File details

Details for the file dataframely-2.13.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

Download URL: dataframely-2.13.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Upload date: Jul 15, 2026
Size: 8.0 MB
Tags: CPython 3.10+, manylinux: glibc 2.17+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for dataframely-2.13.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`ab83500dda4095772f8b57de42a259a608aff37bd4fc2be35af8f5b8c79f9737`
MD5	`59484c6718c9f4177a4dbb6fea979f26`
BLAKE2b-256	`52c9f24553f1184b18611d7ffe8e35f1dcb30c0f5cbd6ccce04aecd539be3759`

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataframely-2.13.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl:

Publisher: build.yml on Quantco/dataframely

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: dataframely-2.13.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Subject digest: ab83500dda4095772f8b57de42a259a608aff37bd4fc2be35af8f5b8c79f9737
- Sigstore transparency entry: 2173054166
- Sigstore integration time: Jul 15, 2026
Source repository:
- Permalink: Quantco/dataframely@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Branch / Tag: refs/tags/v2.13.1
- Owner: https://github.com/Quantco
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: build.yml@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Trigger Event: release

File details

Details for the file dataframely-2.13.1-cp310-abi3-macosx_11_0_arm64.whl.

File metadata

Download URL: dataframely-2.13.1-cp310-abi3-macosx_11_0_arm64.whl
Upload date: Jul 15, 2026
Size: 7.6 MB
Tags: CPython 3.10+, macOS 11.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for dataframely-2.13.1-cp310-abi3-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`94f031c787c9216c156cd85b5053639b2bd0fc624fd485e1fd56b4b35bd2a416`
MD5	`5ffd91fa224fe0332f1f65d6ac1d2959`
BLAKE2b-256	`6811530dbb48093994f1f0a2d042937523d50df720ffad8d973c84798021e376`

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataframely-2.13.1-cp310-abi3-macosx_11_0_arm64.whl:

Publisher: build.yml on Quantco/dataframely

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: dataframely-2.13.1-cp310-abi3-macosx_11_0_arm64.whl
- Subject digest: 94f031c787c9216c156cd85b5053639b2bd0fc624fd485e1fd56b4b35bd2a416
- Sigstore transparency entry: 2173054128
- Sigstore integration time: Jul 15, 2026
Source repository:
- Permalink: Quantco/dataframely@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Branch / Tag: refs/tags/v2.13.1
- Owner: https://github.com/Quantco
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: build.yml@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Trigger Event: release

File details

Details for the file dataframely-2.13.1-cp310-abi3-macosx_10_12_x86_64.whl.

File metadata

Download URL: dataframely-2.13.1-cp310-abi3-macosx_10_12_x86_64.whl
Upload date: Jul 15, 2026
Size: 8.2 MB
Tags: CPython 3.10+, macOS 10.12+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for dataframely-2.13.1-cp310-abi3-macosx_10_12_x86_64.whl
Algorithm	Hash digest
SHA256	`5bc5c063fb47cabf84aef3655650456ac1fafd7d267b83d8ea2de54cb9b863ce`
MD5	`f32282e414548c55669245c77d367560`
BLAKE2b-256	`89b39ec8f1f6d234a77ef959a7c902f3cdff1911b27dede40d6efa94de5280df`

See more details on using hashes here.

Provenance

The following attestation bundles were made for dataframely-2.13.1-cp310-abi3-macosx_10_12_x86_64.whl:

Publisher: build.yml on Quantco/dataframely

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: dataframely-2.13.1-cp310-abi3-macosx_10_12_x86_64.whl
- Subject digest: 5bc5c063fb47cabf84aef3655650456ac1fafd7d267b83d8ea2de54cb9b863ce
- Sigstore transparency entry: 2173054159
- Sigstore integration time: Jul 15, 2026
Source repository:
- Permalink: Quantco/dataframely@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Branch / Tag: refs/tags/v2.13.1
- Owner: https://github.com/Quantco
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: build.yml@e4353e757b23e717534fe3778be7d0135ae1c3f4
- Trigger Event: release

Release history Release notifications | RSS feed

3.0.0

Jul 31, 2026

2.13.2

Jul 22, 2026

This release

2.13.1

Jul 15, 2026

2.13.0

Jul 7, 2026

2.12.0

Jul 7, 2026

2.11.0

Jul 1, 2026

2.10.1

May 27, 2026

2.9.1

Apr 14, 2026

2.9.0

Apr 13, 2026

2.8.2

Mar 31, 2026

2.8.1

Mar 30, 2026

2.8.0

Mar 23, 2026

2.7.0

Feb 6, 2026

2.6.0

Jan 19, 2026

2.5.1

Jan 16, 2026

2.5.0

Jan 14, 2026

2.4.0

Dec 23, 2025

2.3.1

Dec 10, 2025

2.3.0

Dec 10, 2025

2.2.0

Dec 5, 2025

2.1.0

Nov 13, 2025

2.0.0

Oct 27, 2025

1.14.0

Oct 9, 2025

1.13.0

Sep 26, 2025

1.12.1

Sep 23, 2025

1.12.0

Sep 15, 2025

1.11.0

Sep 9, 2025

1.10.0

Sep 5, 2025

1.9.0

Aug 20, 2025

1.8.2

Aug 9, 2025

1.8.1

Aug 8, 2025

1.8.0

Aug 8, 2025

1.7.6

Jul 25, 2025

1.7.5

Jul 15, 2025

1.7.4

Jul 11, 2025

1.7.3

Jul 11, 2025

1.7.2

Jul 10, 2025

1.7.1

Jul 9, 2025

1.7.0

Jul 9, 2025

1.6.0

Jun 23, 2025

1.5.0

Jun 13, 2025

1.4.0

May 21, 2025

1.3.1

May 12, 2025

1.3.0

May 9, 2025

1.2.1

Apr 26, 2025

1.2.0

Apr 24, 2025

1.1.0

Apr 22, 2025

1.0.0

Apr 17, 2025

0.0.0

Mar 14, 2025

dataframely 2.13.1

dataframely — A declarative, 🐻‍❄️-native data frame validation library

🗂 Table of Contents

📖 Introduction

💿 Installation

🎯 Usage

Defining a data frame schema

Validating data against schema

Project links

Key dates

Owner

Credits

GitHub Statistics

Requires

Provides Extra

Classifiers

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Release history Release notifications | RSS feed

`dataframely` — A declarative, 🐻‍❄️-native data frame validation library