A better Python Notebook to scale and grow
Collaborate, develop and share your Python supercharged notebooks in a production-ready environment powered by Code, No-Code & AI.
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A better Python Notebook
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.
Connect people and insights
Transform traditional Python notebooks into interactive data applications. Easily share insights, foster collaboration, and drive action with a modern, data science-focused platform.
Data Pipelines
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.
Start coding right now
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.
Meet your new Super Powers.
MINEO expands traditional Jupyter Notebooks apps
into a powerful cloud platform to build and share data apps.
Supercharged Notebooks
Dashboards
Data Pipelines
MINEO Assistant
Design first
Data sources
Data Observability
Workbench
Manage your organization
Reproducible environments
Integrated Filesystem
Scalable platform
MINEO in action for Data Scientists.
Real examples of how MINEO can improve Data Science projects.
Face Recognition Demo
Dashboard that uses pre-trained facial recognition models to demonstrate the capabilities of local models integrated into dashboards.
Introduction to Scikit-Learn: Machine Learning with Python
An introduction to Machine Learning using the package scikit-learn with python.
Linguistic analysis of Moby Dick with NLTK
Linguistic analysis of Moby Dick with NLTK, Python and Mineo Widgets.
Access datasources from notebooks
Notebook that explains how to access datasources from notebooks.
Python Data Visualizations
A nice tutorial that explains how to use matplotlib, seaborn and pandas.
Unleashing the Power of Large Language Models (LLMs) on Consumer Hardware
This notebooks shows how to use a local instance of GPT2 model inside MINEO without any external service.
What our customers think about MINEO.
Explore your data, build, deploy and share data apps based on supercharged Python notebooks powered by Code, No-code & AI.
