dataqual is an open-source project built for data engineers.

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

What platforms does dataqual run on?

dataqual runs on the command line.

Is dataqual still active?

The GitHub repository shows 2 commits in the last 90 days.

What are alternatives to dataqual?

Similar projects tracked by PulseGate include data-detective-toolkit, open-data-quality, and data-hygiene-auditor.

dataqual is developed by rizalcodes.

When did dataqual launch?

dataqual first shipped in 2026.

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dataqual

Name: dataqual
Author: rizalcodes

PyPIInfrastructure

dataqual is an open-source command-line tool that audits CSV, Excel, and PostgreSQL datasets for common data quality issues such as missing values, duplicates, type mismatches, and outliers. It helps data engineers and analysts maintain clean and reliable data pipelines.

Open SourceMITCLI

Visit PyPI

Overview

7 features

dataqual sits in PulseGate's CLI tools & terminal category. It focuses on ensuring data quality by detecting errors and inconsistencies in tabular datasets. It is built as an open-source project for data engineers. The project is open source (MIT). It ships for the command line.

It is developed by rizalcodes, and it first shipped in 2026. The project is developed in the open on GitHub with 2 commits in the last 90 days. Among its 7 catalogued features are CSV auditing, excel auditing, and postgreSQL auditing.

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

CSV auditing
Excel auditing
PostgreSQL auditing
Missing value detection
Duplicate detection
Type mismatch detection
Outlier detection

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Jul · 00:46 UTC
dataqual verified via PyPI Bulk Enumerator
Source: PyPI Bulk Enumerator · Open

Frequently asked questions about dataqual

What is dataqual?: Dataqual focuses on ensuring data quality by detecting errors and inconsistencies in tabular datasets. It is catalogued under CLI tools & terminal on PulseGate.
Who is dataqual for?: dataqual is an open-source project built for data engineers.
Is dataqual free?: Yes — dataqual is open source under the MIT license and free to use.
What platforms does dataqual run on?: dataqual runs on the command line.
Is dataqual still active?: The GitHub repository shows 2 commits in the last 90 days.
What are alternatives to dataqual?: Similar projects tracked by PulseGate include data-detective-toolkit, open-data-quality, and data-hygiene-auditor.data-detective-toolkit open-data-quality data-hygiene-auditor
Who makes dataqual?: dataqual is developed by rizalcodes.
When did dataqual launch?: dataqual first shipped in 2026.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 17 Jul 2026
Built for: data engineers
Model: Open source
Solves: Ensuring data quality by detecting errors and inconsistencies in tabular datasets.

Registered as

GitHub: rizalcodes/dataqual
PyPI: dataqual

Developer

rizalcodes

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 15 Jul 2026
Commits 90d: 2
Contributors: 1
Authorship: Solo
Default branch: main

Index record

Indexed: 17 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 17 Jul 2026

Identity audit (12)

Slug: dataqual-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Jul 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.
Canonical URL: https://pypi.org/project/dataqual

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