One of the best tools / libraries in the Data Science Arsenal.
September 01, 2022

One of the best tools / libraries in the Data Science Arsenal.

Tanner Ingalls | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Streamlit

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.


  • Incredibly Easy
  • Customizable
  • Quick and powerful


  • 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.
  • Incredibly Easy to Use and Learn
  • Gives end users an interface that's clean and doesn't require non-python work
  • Renders pages & data really quickly.
  • They've really thought through a ton of their features and provide help docs that are easy to get started.
  • I've scaled my team 2x since using Streamlit. We show off actual results that users can play with
  • We're building a customer facing page that we're going to monetize.
  • Incredible amounts of visibility into my team and what we're accomplishing.
I started using Streamlit when it first came out and thought it was really useful and powerful. A few years later and they've really hit their stride! The features / widgets / materials they provide have been well researched, well designed, and well implemented. I will take Streamlit to any future companies I go to as well as be a strong promoter wherever I'm currently at. It's free. It's easy to use. It is really powerful. Sure? You could go pay for a larger system but your Data Science team should be able to handle Streamlit easily. I'd argue a non-technical person spending a few weeks in python could pick up Streamlit really quickly.

Do you think Streamlit delivers good value for the price?


Are you happy with Streamlit's feature set?


Did Streamlit live up to sales and marketing promises?


Did implementation of Streamlit go as expected?


Would you buy Streamlit again?


- 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.


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