https://github.com/databricks-solutions/databricks-apps-examples
Features Databricks Apps examples that are built by Databricks field personnel. Meant to act as points-of-inspiration and points-of-implementation for a variety of use-cases for customers.
https://github.com/databricks-solutions/databricks-apps-examples
apps templates
Last synced: 4 months ago
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Features Databricks Apps examples that are built by Databricks field personnel. Meant to act as points-of-inspiration and points-of-implementation for a variety of use-cases for customers.
- Host: GitHub
- URL: https://github.com/databricks-solutions/databricks-apps-examples
- Owner: databricks-solutions
- License: other
- Created: 2024-10-17T15:14:25.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-01-11T16:48:45.000Z (5 months ago)
- Last Synced: 2026-01-11T19:45:52.237Z (5 months ago)
- Topics: apps, templates
- Language: Python
- Homepage: https://www.databricks.com/product/databricks-apps
- Size: 5.22 MB
- Stars: 17
- Watchers: 4
- Forks: 12
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
- Security: SECURITY.md
- Notice: NOTICE.md
Awesome Lists containing this project
- awesome-databricks-apps - Databricks Apps Examples - Focused example apps illustrating common patterns (auth, env vars, Genie, warehouses). (Official Templates & Samples)
README
# Databricks Apps Examples
## Background
[Click here](https://www.youtube.com/watch?v=Equ7PBeM-Mw) for a walkthrough of Databricks Apps!
Databricks Apps provides a new modality of serving data and AI applications on the Databricks Intelligence Platform. In general, application-views are particularly impactful to businesses because they truly _democratize data intelligence_. Meaning, even the _least technical_ of business analysts are able to unlock the full value of their organization's data stack with the power of slick, frontend applications.
Databricks Apps (on release in October 2024) support a variety of Python data application frameworks, including:
- Flask
- Dash
- FastAPI
- Gradio
- Streamlit
- _and many more..._
## What is this repository?
Databricks staffs over 2,000 talented, technical Solution Architects with a variety of expertises. Our Solution Architects will place their most interesting, compelling, and implementable applications here so that you, the Databricks user, can easily access and try them out on your end.
## Important notices
This repository can _only_ accept contributions directly from Databricks field personnel. If you are a customer looking to contribute, please reach out to your Databricks representative, or to **cal.reynolds@databricks.com** if you don't have a representative. They will ensure that your submission meets our acceptance criteria, and will publish the contribution for you (_crediting you for your work of course_).
#### Acceptance criteria:
1. All Databricks Apps submitted _must use either synthetic data or fully-open sourced datasets (with proper licensing notices included)_.
2. All Databricks Apps submitted _must include a notice in their README files with any and all third-party, open-sourced packages that they utilized._ Third-party packages should be credited in the following format:
---
© 2024 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below.
| library | description | license | source |
|----------------------------------------|-------------------------|------------|-----------------------------------------------------|
| gradio | Python library for creating customizable UI components for ML models | Apache 2.0 | https://github.com/gradio-app/gradio |
| dash | Framework for building analytical web applications | MIT | https://github.com/plotly/dash |
| streamlit | Framework for creating data apps with minimal code | Apache 2.0 | https://github.com/streamlit/streamlit |
| plotly | Interactive graphing library for Python | MIT | https://github.com/plotly/plotly.py |
| flask | Lightweight WSGI web application framework | BSD 3-Clause | https://github.com/pallets/flask |
| fastapi | Modern, fast web framework for building APIs with Python | MIT | https://github.com/tiangolo/fastapi |
| langchain | Framework for developing applications powered by language models | MIT | https://github.com/langchain-ai/langchain |
| langgraph | Library for building stateful applications with LLMs | MIT | https://github.com/langchain-ai/langgraph |
| werkzeug | WSGI web application library (Flask dependency) | BSD 3-Clause | https://github.com/pallets/werkzeug |
| jinja2 | Template engine for Python (Flask dependency) | BSD 3-Clause | https://github.com/pallets/jinja |
| pydantic | Data validation using Python type annotations (FastAPI dependency) | MIT | https://github.com/pydantic/pydantic |
| starlette | Lightweight ASGI framework (FastAPI dependency) | BSD 3-Clause | https://github.com/encode/starlette |
| httpx | Modern HTTP client for Python (FastAPI dependency) | BSD 3-Clause | https://github.com/encode/httpx |
| uvicorn | Lightning-fast ASGI server (FastAPI dependency) | BSD 3-Clause | https://github.com/encode/uvicorn |
Databricks support doesn't cover this content. For questions or bugs, please open a github issue and the team will help on a best effort basis.
---
## Questions and issues
Please file an issue on this repository when and if you run into errors with the deployed applications. Thanks!