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https://github.com/streamlit/streamlit
Streamlit — A faster way to build and share data apps.
https://github.com/streamlit/streamlit
data-analysis data-science data-visualization deep-learning developer-tools machine-learning python streamlit
Last synced: 20 days ago
JSON representation
Streamlit — A faster way to build and share data apps.
- Host: GitHub
- URL: https://github.com/streamlit/streamlit
- Owner: streamlit
- License: apache-2.0
- Created: 2019-08-24T00:14:52.000Z (almost 5 years ago)
- Default Branch: develop
- Last Pushed: 2024-05-11T01:39:24.000Z (24 days ago)
- Last Synced: 2024-05-11T05:45:41.901Z (24 days ago)
- Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, machine-learning, python, streamlit
- Language: Python
- Homepage: https://streamlit.io
- Size: 368 MB
- Stars: 32,013
- Watchers: 313
- Forks: 2,798
- Open Issues: 795
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS
- Security: SECURITY.md
Lists
- awesome-stars - streamlit/streamlit - Streamlit — The fastest way to build data apps in Python (Python)
- awesome-production-machine-learning - Streamlit - Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file. (Industry Strength Visualisation)
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- my-awesome-stars - streamlit
- awesome-production-machine-learning - Streamlit - Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file (Industrial Strength Visualisation libraries)
- awesome-starred - streamlit - Streamlit — The fastest way to build data apps in Python (Python)
- Awesome-AIML-Data-Ops - Streamlit - Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file (Visualisation libraries)
- awesome-streamlit - GitHub/streamlit/streamlit
- awesome-machine-learning - Streamlit
- awesome-production-machine-learning - Streamlit - Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file (Industrial Strength Visualisation libraries)
- awesome-stars - streamlit/streamlit - Streamlit — A faster way to build and share data apps. (Python)
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- awesome-python-machine-learning-resources - GitHub - 23% open · ⏱️ 25.08.2022): (Others)
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- AiTreasureBox - streamlit/streamlit - 06-02_32506_3](https://img.shields.io/github/stars/streamlit/streamlit.svg)|Streamlit — A faster way to build and share data apps.| (Repos)
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- awesome-stars - streamlit/streamlit - Streamlit — A faster way to build and share data apps. (Python)
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- awesome-list - Streamlit - The fastest way to build data apps in Python. (Data Visualization / Data Management)
- awesome-stars - streamlit/streamlit - Streamlit — The fastest way to build data apps in Python (Python)
- awesome - streamlit - Streamlit — The fastest way to build data apps in Python (TypeScript)
- awesome-sciml - streamlit/streamlit: Streamlit — The fastest way to build data apps in Python
- awesome-starred - streamlit/streamlit - Streamlit — A faster way to build and share data apps. (python)
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- my-awesome - streamlit/streamlit - analysis,data-science,data-visualization,deep-learning,developer-tools,machine-learning,python,streamlit pushed_at:2024-05 star:32.5k fork:2.8k Streamlit — A faster way to build and share data apps. (Python)
- awesome-stars - streamlit/streamlit - Streamlit — A faster way to build and share data apps. (Python)
- trackawesomelist - streamlit (⭐31k) - A framework which lets you build dashboards, generate reports, or create chat apps in minutes. (Recently Updated / [Apr 15, 2024](/content/2024/04/15/README.md))
- awesome-stars - streamlit/streamlit - Streamlit — The fastest way to build data apps in Python (Python)
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README
# Welcome to Streamlit 👋
**A faster way to build and share data apps.**
Streamlit lets you turn data scripts into shareable web apps in minutes, not weeks. It’s all Python, open-source, and free! And once you’ve created an app you can use our [Community Cloud platform](https://streamlit.io/cloud) to deploy, manage, and share your app.
## Installation
Open a terminal and run:
```bash
$ pip install streamlit
$ streamlit hello
```If this opens our sweet _Streamlit Hello_ app in your browser, you're all set! If not, head over to [our docs](https://docs.streamlit.io/library/get-started) for specific installs.
The app features a bunch of examples of what you can do with Streamlit. Jump to the [quickstart](#quickstart) section to understand how that all works.
## Quickstart
### A little example
Create a new file `streamlit_app.py` with the following code:
```python
import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)
```Now run it to open the app!
```
$ streamlit run streamlit_app.py
```### Give me more!
Streamlit comes in with [a ton of additional powerful elements](https://docs.streamlit.io/library/api-reference) to spice up your data apps and delight your viewers. Some examples:
Input widgets
Dataframes
Charts
Layout
Multi-page apps
Fun
Our vibrant creators community also extends Streamlit capabilities using 🧩 [Streamlit Components](http://components.streamlit.app).
## Get inspired
There's so much you can build with Streamlit:
- 🧬 [Science & technology apps](https://streamlit.io/gallery?category=science-technology)
- 💬 [NLP & language apps](https://streamlit.io/gallery?category=nlp-language)
- 👀 [Computer vision apps](https://streamlit.io/gallery?category=computer-vision-images)
- 🏦 [Finance & business apps](https://streamlit.io/gallery?category=finance-business)
- 🗺 [Geography & society apps](https://streamlit.io/gallery?category=geography-society)
- and more!**Check out [our gallery!](https://streamlit.io/gallery)** 🎈
## Community Cloud
Deploy, manage and share your apps for free using our [Community Cloud](https://streamlit.io/cloud)! Sign-up [here](https://share.streamlit.io/signup).
## Resources
- Streamlit [docs](https://docs.streamlit.io), [community forum](https://discuss.streamlit.io) and [blog](https://blog.streamlit.io).
- Extend Streamlit's capabilities by installing or creating your own [Streamlit Components](http://components.streamlit.app/).
- Help others find and play with your app by using the Streamlit GitHub badge in your repository:
```markdown
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](URL_TO_YOUR_APP)
```
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/streamlit/roadmap)## License
Streamlit is completely free and open-source and licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.