Evaluation & Testing

Dingo

A Comprehensive Data Quality Evaluation Tool

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Dingo is an open-source tool designed to evaluate the quality of data in various datasets. It helps developers and data scientists ensure that their data meets high standards for accuracy, completeness, and consistency.

Dingo stands out as a comprehensive, open-source solution for evaluating the quality of datasets, offering customizable checks and detailed reporting.

When it fits — and when it doesn’t

A good fit for

  • Developers working on projects that require high-quality, consistent data inputs

  • Data scientists who need to validate the integrity of their datasets before analysis

Look elsewhere if

  • Projects requiring real-time data quality monitoring and correction

  • Teams with limited technical expertise in setting up and configuring self-hosted tools

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary development and maintenance focus is on Python, with other languages having minimal or no official support

What it does well

  • Automated data quality checks

  • Customizable evaluation metrics

  • Comprehensive reporting and visualization

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Dingo

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
Get the badge

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Dingo — tracked on AI Navigator

Markdown

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