A step-by-step guide to improve data quality. Download new eBook ▶

A step-by-step guide which will teach you how to • Organize a data quality project
• Measure the data quality with KPIs
• Monitor and improve quality over time

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Documentation

Any problems with DQO?

Want to report failures or bugs in our platform?
There are two ways to let us know.

Use our Issue Tracker on Github

or

Leave your mail so we can contact you

You can also write to us directly
support@dqops.com.

Leave your mail so we can contact you

You can also write to us directly
support@dqops.com

ready to get started?

DQO is an open-source data quality platform that works both locally or in the cloud.
You can install DQO locally in 30 seconds.

Start from pip

				
					python -m pip install --user dqops
python -m dqops

Learn more >

Run in docker

				
					docker run -v .:/dqo/userhome dqops/dqo

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Compile directly from GitHub

				
					Linux/MacOs  
> git pull dqops/dqo 
> ./dqo   
Windows
> git pull dqops/dqo
> dqo.cmd

				
					Linux/MacOs              Windows
> git pull dqops/dqo     > git pull dqops/dqo
> ./dqo                  > dqo.cmd

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Any problems with DQO?

Want to report failures or bugs in our platform? There are two ways to let us know.

Use our Issue Tracker on Github

or

or

Leave your mail so we can contact you

Leave your mail so we can contact you

ready to get started?

DQO is an open-source data quality platform that works both locally or in the cloud. You can install DQO locally in 30 seconds.

Learn more >

Learn more >

Learn more >

SOLUTIONS FOR

PRODUCT

COMPANY

NEWSLETTER

Your Privacy

Want to report failures or bugs in our platform?
There are two ways to let us know.

DQO is an open-source data quality platform that works both locally or in the cloud.
You can install DQO locally in 30 seconds.