# Introducing Heroku-Streamlit: Seamless Data Visualization

DevFeed: [Introducing Heroku-Streamlit: Seamless Data Visualization](<https://devfeed.tech/articles/introducing-heroku-streamlit-seamless-data-visualization-26454.md>)

Original publisher: [Read original article](<https://www.heroku.com/blog/introducing-heroku-streamlit-seamless-data-visualization/>)

Author: Anush DSouza

Published: 2025-05-01T08:00:09Z

Content type: release

Language: en

Sources: [Heroku](<https://devfeed.tech/sources/heroku.md>)

Topics: [Heroku](<https://devfeed.tech/topics/heroku.md>), [Streamlit](<https://devfeed.tech/topics/streamlit.md>), [Template](<https://devfeed.tech/topics/template.md>), [Python](<https://devfeed.tech/topics/python.md>), [web applications](<https://devfeed.tech/topics/web-applications.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Data visualization](<https://devfeed.tech/topics/data-visualization.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [data-analytics](<https://devfeed.tech/tags/data-analytics.md>), [data-visualization](<https://devfeed.tech/tags/data-visualization.md>), [deploy](<https://devfeed.tech/tags/deploy.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [developer-tools](<https://devfeed.tech/tags/developer-tools.md>), [dockerignore-usage](<https://devfeed.tech/tags/dockerignore-usage.md>), [getting-started](<https://devfeed.tech/tags/getting-started.md>), [heroku](<https://devfeed.tech/tags/heroku.md>), [news](<https://devfeed.tech/tags/news.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [prototyping](<https://devfeed.tech/tags/prototyping.md>), [python](<https://devfeed.tech/tags/python.md>), [streamlit](<https://devfeed.tech/tags/streamlit.md>), [web-applications](<https://devfeed.tech/tags/web-applications.md>)

## AI overview

Heroku announces Heroku-Streamlit, a ready-to-deploy template for deploying interactive Streamlit data visualization applications on Heroku. The template combines Heroku's cloud platform with Streamlit's Python framework and includes one-click deployment, sample Uber pickup data, customization options, and manual deployment instructions.

## Source excerpt

We're excited to announce the release of Heroku-Streamlit, a template that makes deploying interactive data visualization applications on Heroku simpler than ever before. Streamlit is an open-source app framework built for machine learning and data science projects. This Streamlit App brings together Heroku's scalable cloud platform and Streamlit's intuitive Python-based data application framework. Whether you're [...] The post Introducing Heroku-Streamlit: Seamless Data Visualization appeared first on Heroku.