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dataqual
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dataqual

PyPI·Infrastructure

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 SourceMIT
CLI
D
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. dataqual is an open-source project aimed at data engineers. The project is open source (MIT). dataqual is available on the command line.

Behind dataqual is rizalcodes, and the product 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.

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

Tags

data-qualitycsv-auditingexcel-auditingpostgresql-auditingcli-tool

Built with & integrations

Runs on
CLI

Trust & compliance

LicenseMIT
Verified signals
✓ HTTPS✓ Open Source✓ Free tier✓ GitHub✓ Active maintenance

Recent events

Latest indexed changes and source events

  1. IndexedJul 17, 12:46 AM

    dataqual verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

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 should use dataqual?
dataqual is an open-source project built for data engineers.
Does dataqual have a free plan?
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?
PulseGate's liveness checks currently classify dataqual as active. The GitHub repository shows 2 commits in the last 90 days.
What tools are similar to dataqual?
Similar tools tracked by PulseGate include data-detective-toolkit, data-hygiene-auditor, and gchq-data-quality.data-detective-toolkitdata-hygiene-auditorgchq-data-quality
Who develops dataqual?
dataqual is developed by rizalcodes.
How long has dataqual been around?
dataqual first shipped in 2026.

At a glance

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

Developer

rizalcodes
Solo developer
↗ GitHub

Open source

View on GitHub →
⭐ Stars
0
🍴 Forks
0
Open issues
0
Last commit
2w ago
Commits 90d
2
Contributors
1
Authorship
Solo
Default branch
main

Live coverage

Confidence
Low · 64
Indexed
Jul 17, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
2w ago
Identity audit (9)
Entity ID
cmro7wdyc05vjv6ggc6n3vgos
Slug
dataqual-pypi-org
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 17, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 17, 2026
Canonical URL
https://pypi.org/project/dataqual

Similar apps

Other apps tracked under the same category.

  • data-detective-toolkit
    pypi.org
  • data-hygiene-auditor
    github.com
  • gchq-data-quality
    pypi.org
  • dq-doctor
    pypi.org
  • dqtui
    github.com
  • dataset-inspector
    github.com