Apache Superset

1

Evidence.dev

Full fledged BI tools like Superset and Metabase are amazing for their intended use cases. But they may be an overkill if your primary use case is to infrequently build semi-interactive reports for non-technical end-users and your use cases are are mostly covered by standard graphs & tables. Esp. So if you are familiar with SQL and have access to the underlying data source. Two nifty utilities I have found to be very useful for latter kind of use cases are SQLPage and Evidence. They make it very convenient to whip out some SQL and convert that to a neat professional looking web ui that can be forwarded to an end user. In case of Evidence it is a statically generated site, and in case of SQLPage it is a web app that connects to a live database. SQLPage: https://sql.ophir.dev/ Evidence: <a href="https://evidence.dev">https://evidence.dev</a>.

#Business Intelligence #Reporting Platform #Reporting & Dashboard 11 social mentions

2

Apache Superset

#Data Analysis And Visualization #Business Intelligence #Data Dashboard 51 social mentions

3

Seaborn

If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful. I see these products as tools for data visualization and reporting i.e. Presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics. I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy. For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability. Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/). The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.

#Development #Data Science And Machine Learning #Technical Computing 32 social mentions

Full fledged BI tools like Superset and Metabase are amazing for their intended use cases. But they may be an overkill if your primary use case is to infrequently build semi-interactive reports for non-technical end-users and your use cases are are mostly covered by standard graphs & tables. Esp. So if you are familiar with SQL and have access to the underlying data source. Two nifty utilities I have found to be very useful for latter kind of use cases are SQLPage and Evidence. They make it very convenient to whip out some SQL and convert that to a neat professional looking web ui that can be forwarded to an end user. In case of Evidence it is a statically generated site, and in case of SQLPage it is a web app that connects to a live database. SQLPage: https://sql.ophir.dev/ Evidence: <a href="https://evidence.dev">https://evidence.dev</a>.

#Developer Tools #Javascript UI Libraries #GUI Frameworks 17 social mentions

5

Embeddable

It’s still pretty new but build by an experienced team. It’s commercial software though. https://embeddable.com/.

#Embedded Analytics #Dashboard Software #Data Visualization 1 social mentions