One of the best tools / libraries in the Data Science Arsenal.
Use Cases and Deployment Scope
Our Data Science team has built an entire multi-page reporting dashboard for the executive team to analyze all of their metrics (and we've started including machine learning models in the pages) in a really short amount of time. When a new report / metric page is needed, we can completely deliver (using Streamlit) in a day or two max. That's with authentication, logging, design, computing and testing.
We've also built a few integrations with access to our internal databases that allow a non-technical person to query a database themselves, in a simple manner and get answers they're looking for. One of our Customer Success agents wanted a joined file from multiple different databases and be able to download it whenever she wanted. Not knowing SQL or anything, she has a user interface that allows her to select checkboxes and build the query she wants without having any technical knowledge.
Pros
- Incredibly Easy
- Customizable
- Quick and powerful
Cons
- Recent Security issues (they quickly released an update to combat this though...)
- Requires a bit of HTML knowledge to really customize. If you're going quick, you don't need HTML though. Streamlit commands will pump your page out fast.
Likelihood to Recommend
- Don't want to pay Tableau $1,000 / seat? Use Streamlit
- Want fully custom views and navigation? Use Streamlit
- Want access to Machine Learning and not just your dev team? Use Streamlit
- Want to keep things internal and secure? Use Streamlit
- Want your Data Science team to be able to crank out projects quickly? Use Streamlit
- Sick of Jupyter Notebooks and Business Leaders not understanding them? Use Streamlit
Our D.S. strategy has moved completely to delivering pages in Streamlit. I can hand an executive a Jupyter notebook and it'll get lost in translation. I can give them sign-in access to a page and they can answer all of their own "What-If?" questions! We've used Streamlit to productize our Data Science and Machine Learning capabilities.
