parquity is an open-source project built for data engineers and Python developers.

Does parquity have a free plan?

Yes — parquity is open source under the MIT license and free to use.

What platforms does parquity run on?

parquity runs on the command line. It can also be self-hosted.

Is parquity still active?

The GitHub repository shows 7 commits in the last 90 days.

What are alternatives to parquity?

Similar projects tracked by PulseGate include Flyworks Test Runner, Fucini Coverage Studio Pro, and Smart QA AI.

Who develops parquity?

parquity is developed by sovsparrow.

How long has parquity been around?

parquity first shipped in 2026.

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parquity

Name: parquity
Author: sovsparrow

PyPIInfrastructure

parquity is an MIT-licensed Python package for finding and reproducing semantic disagreements between Parquet engines. It helps developers test interoperability and create reproducible cases for engine behavior differences.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

4 features

parquity sits in PulseGate's Testing & QA category. It focuses on identifying and reproducing semantic incompatibilities between Parquet engines. It is built as an open-source project for data engineers and Python developers. parquity is open source under the MIT license. It runs on the command line, and it can be self-hosted.

sovsparrow builds and maintains parquity, and it first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Key capabilities include engine comparison, semantic disagreement detection, and reproduction cases.

Summary written by a language model from the project’s public pages.

Engine comparison
Semantic disagreement detection
Reproduction cases
Parquet interoperability testing

Built with & integrations

Connectors

github

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed8 Aug · 23:22 UTC
parquity verified via PyPI Bulk Enumerator
Source: PyPI Bulk Enumerator · Open

Frequently asked questions about parquity

What is parquity?: Parquity focuses on identifying and reproducing semantic incompatibilities between Parquet engines. It is catalogued under Testing & QA on PulseGate.
Who is parquity for?: parquity is an open-source project built for data engineers and Python developers.
Does parquity have a free plan?: Yes — parquity is open source under the MIT license and free to use.
What platforms does parquity run on?: parquity runs on the command line. It can also be self-hosted.
Is parquity still active?: The GitHub repository shows 7 commits in the last 90 days.
What are alternatives to parquity?: Similar projects tracked by PulseGate include Flyworks Test Runner, Fucini Coverage Studio Pro, and Smart QA AI.Flyworks Test Runner Fucini Coverage Studio Pro Smart QA AI
Who develops parquity?: parquity is developed by sovsparrow.
How long has parquity been around?: parquity first shipped in 2026.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 8 Aug 2026
Built for: data engineers and Python developers
Model: Open source
Solves: Identifying and reproducing semantic incompatibilities between Parquet engines.

Registered as

GitHub: sovsparrow/parquity
PyPI: parquity

Developer

sovsparrow

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 8 Aug 2026
Commits 90d: 7
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 8 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 8 Aug 2026

Identity audit (13)

Slug: parquity-pypi-org
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 8 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 8 Aug 2026
Canonical URL: https://pypi.org/project/parquity

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