One of the best tools / libraries in the Data Science Arsenal.
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.
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.
- 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?
Yes
Are you happy with Streamlit's feature set?
Yes
Did Streamlit live up to sales and marketing promises?
Yes
Did implementation of Streamlit go as expected?
Yes
Would you buy Streamlit again?
Yes
Comments
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