MINEO takes Jupyter notebooks to the next level by adding production-grade features such as: layouts, no-code widgets, integrated SQL/data sources, versioning, collaboration tools, integrated filesystems, detailed permissions and AI.
Transform traditional Python notebooks into interactive data applications. Easily share insights, foster collaboration, and drive action with a modern, data science-focused platform.
Automate and streamline your workflows with Python-based data pipelines that leverage the power of notebooks. Combine one or more notebooks to create ETL Pipelines based on your existing Python libraries.
Skip the configuration of large installation environments on your computer like Anaconda and get straight to the content in reproducible environments based on Docker images accessible with just a browser and GPU-ready.
MINEO expands traditional Jupyter Notebooks apps
into a powerful cloud platform to build and share data apps.
Real examples of how MINEO can improve Data Science projects.
Dashboard that uses pre-trained facial recognition models to demonstrate the capabilities of local models integrated into dashboards.
An introduction to Machine Learning using the package scikit-learn with python.
Linguistic analysis of Moby Dick with NLTK, Python and Mineo Widgets.