Streamlit Development
CommunityBuild & deploy interactive data apps on Snowflake.
Authorsfc-gh-dflippo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Developing, testing, and deploying interactive data applications, especially within a Snowflake environment, can involve complex setup, environment management, and ensuring compatibility between local and cloud execution. This skill streamlines the entire lifecycle of Streamlit app development on Snowflake.
Core Features & Use Cases
- Dual-Environment Compatibility: Seamlessly develop locally and deploy to Snowflake's native Streamlit environment using a unified connection pattern.
- Testing Integration: Support for unit tests with pytest and browser-based UI validation with Playwright MCP.
- Optimized Deployment: Leverage Snowflake CLI for efficient deployment and manage dependencies with Snowflake Anaconda packages.
- Use Case: Create a financial dashboard that allows users to interact with Snowflake data, deploy it directly to Snowflake for secure access, and ensure it's thoroughly tested for functionality and performance across all environments.
Quick Start
Install dependencies (pin Streamlit version to match Snowflake)
uv pip install --system -r requirements.txt
Run your Streamlit app locally
streamlit run app.py
Deploy to Snowflake using CLI
snow streamlit deploy --replace -c default
Dependency Matrix
Required Modules
streamlitsnowflake-snowpark-pythonpandas
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Streamlit Development Download link: https://github.com/sfc-gh-dflippo/snowflake-dbt-demo/archive/main.zip#streamlit-development Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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