Streamlit is an excellent choice for developing data-driven business applications because it provides a simple and intuitive way to create interactive and customizable data visualizations. With Streamlit, you can easily build and deploy data applications that allow your users to explore and analyze complex data sets in real-time.
Streamlit’s powerful Python-based framework allows you to quickly prototype and iterate on your data applications, making it an ideal choice for businesses that need to move quickly and stay ahead of the competition. Additionally, Streamlit’s open-source nature means that you can leverage a vast community of developers and contributors to extend and customize your data applications to meet your specific business needs.
Whether you’re building a data dashboard, a machine learning model, or a custom data visualization, Streamlit provides the tools and flexibility you need to create powerful and engaging data-driven business applications.
Why you should work with Streamlit?
- Streamlit is an open-source framework, which means that you have complete control over your code and can customize your data applications to meet your specific business needs.
- Streamlit provides a simple and intuitive way to create interactive and customizable data visualizations
- Streamlit allows you to quickly prototype and iterate on your data applications, making it an ideal choice for businesses that need to move quickly and stay ahead of the competition.
- Streamlit provides a Python-based framework, which means that you can leverage the vast ecosystem of Python libraries and tools to extend and customize your data applications.
- Streamlit allows you to easily build and deploy data applications on a variety of platforms, including desktop, web, and mobile.
- You don’t need to build data models inside the application, Streamlit uses the underlying data source, whether it is a database or a API.
Interested in taking your Streamlit development to the next level ?
Here are 3 different option that we provide
1. STREAMLIT INSIDE SNOWFLAKE
What will you get ?
- CI/CD pipeline for your Streamlit apps, yaml file
- Instructions
- 3 hour workshop for getting started with Streamlit on Snowflake
- Managed environment for deployments
- Default Streamlit app for listing all the Streamlit apps in environment
Consultation type: Fixed price
2. STREAMLIT WITH AZURE WEB APP / CONTAINER APP
What will you get ?
- Streamlit in Snowflake features
- Terraform for Azure resources
- Microsoft Entra login / AAD or AAD B2c
- Business case works how to use Streamlit
Consultation type: Fixed price
3. CUSTOM SOLUTION
What will you get ?
- Streamlit development when you are using Private link
- Consultation about Streamlit and usage options
- Any Public cloud options Azure, AWS & GCP
- Migration option options from other BI solutions(Power bi, Tableau, Looker etc. )
- Streamlit best practices and governance
- Data collaboration with Streamlit, write back options
- Row level security and Snowflake roles
Consultation type: Time & Material
Conditions:
- Streamlit inside Snowflake:
Snowflake account
Github account
- Streamlit web app
Azure account
Service principal per resource group
Github/Azure Devops
- Custom Solution
Time dedicated