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Streamlit's $35M Series B

66 点作者 TCR19大约 4 年前

14 条评论

mmq大约 4 年前
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.<p>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.<p>[1] <a href="https:&#x2F;&#x2F;polyaxon.com&#x2F;integrations&#x2F;streamlit&#x2F;" rel="nofollow">https:&#x2F;&#x2F;polyaxon.com&#x2F;integrations&#x2F;streamlit&#x2F;</a><p>[2] <a href="https:&#x2F;&#x2F;polyaxon.com&#x2F;docs&#x2F;intro&#x2F;quick-start&#x2F;deploying-ml-apps&#x2F;" rel="nofollow">https:&#x2F;&#x2F;polyaxon.com&#x2F;docs&#x2F;intro&#x2F;quick-start&#x2F;deploying-ml-app...</a>
aparsons大约 4 年前
From a lot of bittersweet experiences, I tend to be very wary of “drastically simple” API products. We often say APIs are forever - so it is so critical to build the right abstraction. When I saw the demo on their page, yes it’s magically (their words) simple, but it also smells strongly of an API that can start leaking as complexity rises.<p>Dave Cutler of NT fame used to say leaky abstractions are often worse than no abstractions, and early on, it’s often better to go with a lower-level API (for example, what Tensorflow did) because you can add a higher level one later (eg Keras) based on usage and reasonable defaults.<p>Heavy reliance on strings with logical meaning? Another strong smell.<p>Streamlit looks very accessible - which is amazing in this space, and I hope they do well - but my prediction is people will be importing “streamlit.v2” within two years.
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dbecker大约 4 年前
Streamlit is awesome.<p>It&#x27;s nicer than sending someone static results, and it isn&#x27;t much more effort.<p>And vastly better than sending a notebook to someone unless you expect them to modify the notebook a lot.<p>And learning time to make Streamlit useful for a small internal apps is probably ~15 minutes for most people.
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brianzelip大约 4 年前
Here&#x27;s an informing podcast episode with one of the Streamlit authors, <a href="https:&#x2F;&#x2F;talkpython.fm&#x2F;episodes&#x2F;show&#x2F;260&#x2F;from-basic-script-to-interactive-data-sci-app-with-streamlit" rel="nofollow">https:&#x2F;&#x2F;talkpython.fm&#x2F;episodes&#x2F;show&#x2F;260&#x2F;from-basic-script-to...</a>.
dougb5大约 4 年前
Cynical about frameworks but huge fan of this one. I find myself using Streamlit not just to communicate data analyses with other people, but also to explore the data myself, and even for projects I never intend to publish. Being able to produce an interactive visualization quickly and entirely from Python makes <i>so</i> much difference to my research productivity. I just hope the VC cash doesn&#x27;t complicate things.
everling大约 4 年前
Been using Streamlit at work for over a year. It&#x27;s great for quickly building internal apps where latency or styling is not a concern (though it is a lot prettier than notebooks).
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tylerjrichards大约 4 年前
I&#x27;ve been using Streamlit for the past year and am consistently shocked with how quickly the team ships what the community asks for (everything from secrets, to themes, to making developing on top of Streamlit easier with components, etc). Good for them!
sebringj大约 4 年前
Out of curiosity I saw what this product was about. It appears to be like a chatroom in the sense that its live but with an API or live application refresh where the programmer can write lines of code that immediately show app results. This is pretty cool but I don&#x27;t know if its a real product other than live coding interviews or the most intense pressure cooker of your manager having you do the TPS reports right now. If coupled with GPT3, however, it might be perfect, as you could just speak what you want and then it can output python that then updates this.
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tschellenbach大约 4 年前
Congrats Streamlit!
aoos大约 4 年前
Congrats! Been on my to-do to try Streamlit. What are companies mainly using it for?
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martingoodson大约 4 年前
Can somebody explain the advantage of Streamlit over sharing a Jupiter notebook with interactive widgets? Are data scientists sharing models and data a relevant use case?
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jeffo_rulez大约 4 年前
is it strange to anyone else how similar the logos for <a href="https:&#x2F;&#x2F;streamlit.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;streamlit.io&#x2F;</a> and <a href="https:&#x2F;&#x2F;getstream.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;getstream.io&#x2F;</a> are?
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byefruit大约 4 年前
Looks interesting but has anyone managed to find pricing anywhere?
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mrkramer大约 4 年前
I don&#x27;t get this product how is it any different than replit.com or they are competitors? Anyway good idea.