Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

About the offer:

Streamlit is an open-source Python library used for building interactive data science and machine learning web applications. It allows developers to create web-based applications that can display visualizations, charts, tables, and other data-driven elements in real-time. Streamlit provides a simple and intuitive interface that can be used to create data exploration dashboards, prototype machine learning models, and share data insights with others.

Who benefits from this offer:

Software Developers
Data Engineers
Data Scientists
Data Analyst
Organization based with data analytics and visualization.

What is included in this offer:

Streamlit offers a wide range of features that make it easy for data scientists and machine learning engineers to build interactive web applications quickly. Here are some of the key features of Streamlit:

Simple and intuitive interface: Streamlit has a user-friendly interface that makes it easy for developers to create web applications without requiring extensive coding knowledge.
Interactive widgets: Streamlit provides pre-built widgets for data visualization, input forms, and output displays, which can be easily incorporated into web applications.
Real-time updates: Streamlit allows developers to make real-time updates to their web applications as data changes, without requiring manual refreshes.
Integration with popular libraries: Streamlit supports integration with popular machine learning libraries like TensorFlow, PyTorch, and Scikit-learn, allowing developers to easily incorporate machine learning models into their web applications.
Fast prototyping: Streamlit is designed for fast prototyping, allowing developers to quickly build and iterate on their ideas.
Deployment options: Streamlit provides multiple deployment options, including on-premise deployment and cloud-based deployment using services like Heroku, AWS, and Google Cloud.
Collaboration tools: Streamlit allows developers to share their web applications with others and collaborate on projects using GitHub and other version control systems.

Technical Specifications:

Minimum memory: 8 GB
Minimum vCPU: 2 vCPUs
Operating System: Ubuntu 20.04
Storage: 6GB
Python: Currently Python 3.7, 3.8, 3.9, 3.10 and 3.11 are supported. Some plugins do not yet support Python 3.11.
Pip: version latest 23.0.1

Principles:

Embrace scripting With Streamlit's easy-to-use API, you can build a web application with just a few lines of code. As you save changes to the source file, the app updates automatically, allowing for a seamless iterative development process.
Weave in interaction In Streamlit, adding a widget is as simple as declaring a variable. There's no need to go through the complex process of writing a backend, defining routes, handling HTTP requests, connecting a frontend, or writing HTML, CSS, and JavaScript.
Deploy instantly Effortlessly share, manage and deploy your apps, directly from Streamlit. All for free!

Getting Started:

For further accessing the web-interface follow the steps:

SSH into VM(Virtual Machine)
Use this command: streamlit hello
navigate to the URL and access web-interface by http://ip-addr:8501

Streamlit packaged by Data Science DojoData Science Dojo

Streamlit packaged by Data Science Dojo

Data Science Dojo

Streamlit packaged by Data Science Dojo

Data Science Dojo

Streamlit packaged by Data Science Dojo
Data Science Dojo