Streamlit's $35M Series B

Congrats as well!

We've been loving it for making internal point-and-click tools + external project starters (ex: tutorials, solution engineering, ..).

Today, if you and your users are coding-heavy for data flows (dataset -> pydata wrangling/ml/... -> ui), jupyter notebooks are #1, and if you're in bigco, maybe say databricks notebooks as #2. However, most operational users really want an interactive point-and-click dashboard UI. Tableau and friends don't make as much sense in the pydata world, mostly for simpler SQL-only flows, and the existing python dashboarding tools (voila, panels, plotly, ...) have been too much work, esp. when sharing.

I've been liking Streamlit as it's pretty opinionated + prestyled (less work!), simple interaction model (accessible!), etc. It clearly can be better, but is already so much more accessible than our experiences with other tools here.

As some examples:

* We've been building https://github.com/graphistry/graph-app-kit for people building mini graph apps (one-click self-hosted launch via docker + st dashboard + graphistry viz + optional graph db connectors + optional graph compute tools).

* We're releasing 2-3 more integration + tutorial sets this month, where they're both notebook modes + dashboard modes.

* We just ran a hackathon for the same w/ the TigerGraph team: https://tigergraph-web-app-hack.devpost.com/

* projectdomino.org uses it internal for anti-misinfo dashboard tools. Our devs/data sci/some advanced osint researchers are fine w/ nb's, but everyone else needs dashboard UIs.

I'm excited to see what 2021 + 2022 bring here, and esp. if they can keep increasing accessibility all the way to no-code!

I use it internally to show interactive results and explain stats concepts to PMs/Eng, so for example I was trying to explain exactly how increased sample sizes change the confidence intervals around a binomial proportion as the proportion changes from .5 -> 1, and then relate that to how much it costs for the business, etc. So I made a Streamlit app in a few minutes, and let them interact with it.

Oh that's interesting. Hadn't thought about that direction, but would be super useful for us internally

Streamlit is such a nice product. When iterating on an ML product and trying to give other users a quick and an easy way to interact with a model, Streamlit should be one of the first option to think of.

Integrating with Streamlit[1] was also very simple, in our case, we only had to expose how we serve Tensorboards and Notebooks on our platform, and we created a couple of tutorials[2] to show how to host an app. Several of our users started using it after that as the default way for sharing interactive and customizable dashboards on their Kubernetes clusters.

[1] https://polyaxon.com/integrations/streamlit/

[2] https://polyaxon.com/docs/intro/quick-start/deploying-ml-app...

is it strange to anyone else how similar the logos for https://streamlit.io/ and https://getstream.io/ are?