Streamlit is an open-source Python framework designed to simplify the creation of interactive web applications for data science and machine learning projects. It enables users to build and deploy data-driven apps with minimal coding, requiring no front-end web development experience. Streamlit supports integration with popular Python libraries such as pandas, NumPy, Matplotlib, and Plotly, facilitating rapid development of dashboards and analytical tools. Applications can be deployed locally or hosted on platforms like Streamlit Community Cloud or Snowflake.
Streamlit
Streamlit
Organization
Streamlit
Deployment Model
Hybrid
Agricultural Production Step
Data Processing and Analytics
End User
Developers
Category
Used for
All
TRL
7
Community Engagement
Very high
Number of Forks
3400
Country
Universal
Licence
Disclamer
While every effort has been made to accurately record the licensing status and all other information presented, this catalogue is provided for informational purposes only. The classifications and assessments presented in the catalogue, including technology readiness, connectivity requirements, AI characteristics, and optimization potential, have been developed by the OpenAgri partners based on publicly available information and do not imply validation or endorsement by the developers, maintainers, or organizations associated with the listed solutions. Users are strongly encouraged to verify these details-particularly the license terms and conditions-before adopting or integrating any solution, and to take special care when no explicit license is listed in the repository. The partners of the OpenAgri project make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability or suitability of the interactive catalogue or the information, products, services or related graphics contained in the catalogue for any purpose. Any reliance you place on such material is therefore strictly at your own risk.