|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Metamapper||60||6 months ago||1||September 01, 2020||17||bsd-2-clause||Python|
|Metamapper is a data discovery and documentation platform for improving how teams understand and interact with their data.|
|Clinical DNA Sequencing Analysis and Data Warehouse|
|Cous||4||11 years ago||Python|
|Counting on US (winner of ``NYC Health 2.0 Big Data Code-a-Thon''.)|
|Djangowarehouse||4||3 years ago||Python|
|Create a datawarehouse using Django: serializers, ORM, slowly changing dimensions ...|
Metamapper is an open-source metadata management platform that aims to make it easier to share data and its context across your organization. It's a self-updating data catalog complete with full-text search, an integrated commenting system, and much more.
Growing organizations rely on data and analytics to drive decisions. With the emergence of tools like Airflow and companies like Segment and Fivetran, it's never been easier to get data into your warehouse.
But with all of this data comes a lot of noise. It can become difficult to keep track of things like business purpose and/or timeliness of your data, amongst other things. Plus, writing and maintaing that sort of documentation is just plain boring.
Metamapper aims to automate those boring documentation tasks and reduce the time that data engineers spend answering redundant questions. Just connect your data warehouse and Metamapper will periodically scan the datastore and maintain a commentable data catalog that can be viewed by your team via the UI.
Think of it as Google for your data warehouse – perform a search and it'll find the data that best fits your needs.
Here are a few features of Metamapper:
You can try out a default version of Metamapper with sample data using Docker and Docker-Compose.
Clone the repository:
git clone [email protected]:getmetamapper/metamapper.git
From the repository root:
docker-compose -f docker-quickstart.yml up
Head to http://localhost:5555 to view the Metamapper UI. Try searching for "clickstream events" and see what happens!
Use our pre-baked Docker images. Detailed setup instructions can be found here: getmetamapper/metamapper-setup
Metamapper currently supports automatic crawling and indexing of these database management systems with plans to add more in the near future.