First Datapane Plot.

If you prefer analysing with Python and SQL, you are in good hands. Datapane has an offer for you: “Flexibility with Joy”.

Everything is super strict and limited with BI reporting tools when you are creating a report. Especially a creative data report needs flexibility. Built-in solutions are not for everyone.

Using Python and SQL every day, we have a great open source and flexible reporting tool for teams. I like to ask questions, and I believe these questions could help us get more information about the product.

1. Do you need advanced analyses for your data science project?
2. Are you using different Python libraries for every project?
3. Is it importing to build reports from ad-hoc data sources?

There are some products in the market that you feel comfortable with when using it, and they offer options. When you are looking for a creative answer first thing that you need is flexibility.

Let’s start with a sample case; you can use any dataset or project whatever you have. I wanted to add to make it easier for you. You can see on the Github page if you want to give them a star.

import plotly.express as px