Also, many tools only talk SQL. Shillelagh was developed for Apache Superset, a powerful open source business intelligence web application, and allows it to query an infinitude of new data sources without having to change a single line of code in Superset. Source: almost 2 years ago

I'm adding this to Apache Superset today! Source: almost 2 years ago

I also like to do some data analysis on the side and recently ran across Apache Superset which describes itself as a "modern data exploration and data visualization platform". Coincidentally, Superset has a lot of Python code and can be deployed in containers (nine of them at current count!). - Source: dev.to / about 2 years ago

Please don't hesitate to like and bookmark this post, write a comment, and give a star to Cube and Superset on GitHub. I hope these tools would be a part of your toolkit when you decide to build a metrics store and a business intelligence application on top of it. - Source: dev.to / over 2 years ago

Discussion by kgabryje at apache / superset “feat(native-filters): add search all filter options #14710“. - Source: dev.to / almost 3 years ago

In our project, the change in question affected sixteen content types. Our method of documenting the content model using Mind Map diagrams in Miro meant that we could easily identify the types in question and their elements and codenames. So all we needed was a simple array of content type codenames. - Source: dev.to / about 2 years ago

In the last 24hrs I came across Mind Map, and I’m already mapping out everything that happened and every little story just waiting to be resolved. So far the service appears to be free and I really could not be happier with it. Source: about 2 years ago

Looks like miro (https://miro.com/mind-map/). Caught my eye too, looks very clean and straightforward. Source: about 3 years ago