What is Streamlit?
Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. Prototype quickly with hot-reloading, so your app updates live as you edit and save your file. Try it now: ⬇️ $pip install streamlit $streamlit hello
Pros & Cons
Pros
- Custom web apps
- Easy prototyping
- Easy to use
- Fast deployment
- Data presentation
- Fast performance
- No frontend/backend separation
- No need for HTML/CSS
- Powerful
- RAD tool
- Safe and secure
- Vibrant community
Tool Details
| Categories | No-code Platforms, AI Infrastructure Tools |
|---|---|
| Website | streamlit.io |
| Became Popular | October 4, 2019 |
| Platforms | Web |
| Social |
Recent Reviews (7)
Streamlit is a fantastic platform, and we're thrilled that our open-source Python tools integrate seamlessly with it. This integration has brought us a vibrant community of users who have inspired us with their creations, provided invaluable feedback, and allowed us to easily test advanced use cases. Many of these features are now available in our new tool, thanks to the inspiration and insights from the Streamlit community.
A game-changer for Python apps. It made it sooo easy to build my app.
It provides me webpage smoothly and beautiful UI experience.
A godsend. Our company's developing a local-first note taking app with a strong focus on NLP. We're training classifiers and taggers on all kinds of notes. For this purpose, we're developing a custom labelling pipeline, which up until yesterday was a CLI. After snooping around for a GUI solution that would match our requirements, I stumbled on Streamlit and it's pretty much everything we could hope for. In literally a good day of work, I have a little web app which non techie collaborators can use for labelling our data. Bravo!
I think Streamlit is a great tool for building and sharing data apps. It's easy to use, even for people who don't have a lot of experience with front-end development. You can create beautiful, custom web apps in just a few minutes, and you can deploy them to the cloud with just a click. I've used Streamlit to build a few different data apps, and I've been really impressed with how easy it is to use. I've also been impressed with the community of Streamlit users. There are a lot of helpful people in the community who are willing to share their knowledge and help each other out. Overall, I think Streamlit is a great tool for anyone who wants to build and share data apps. It's easy to use, powerful, and has a great community. Here are some of the things I like about Streamlit: It's easy to use. Even if you don't have a lot of experience with front-end development, you can create beautiful, custom web apps in just a few minutes. It's powerful. Streamlit can be used to build a wide variety of data apps, from simple dashboards to complex machine learning models. It's fast. Streamlit apps are built in pure Python, so they're fast and efficient. It's deployable. Streamlit apps can be deployed to the cloud with just a click. It has a great community. There are a lot of helpful people in the Streamlit community who are willing to share their knowledge and help each other out.
Excellent tool to present and work with data easily, without worrying about layouts, css or HTML at all. It's also perfect to build a quick web interface to a python script.
Great and fast way to build and deploy apps using the python library. Also safe and secure which meets data needs
Frequently Asked Questions about Streamlit
When did Streamlit become popular?
Streamlit became popular around October 4, 2019.
What are the main advantages of using Streamlit?
The top advantages of Streamlit include: custom web apps, easy prototyping, easy to use, fast deployment, data presentation.
What is Streamlit's overall user rating?
Streamlit has an overall rating of 4.9/5 based on 9 user reviews.
What type of tool is Streamlit?
Streamlit belongs to the following categories: No-code Platforms, AI Infrastructure Tools.
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