Powerful Python notebooks for learning

Teach and learn data science with supercharged Python notebooks in a scalable and reproducible environment.

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Trusted by

MIOTILogo of the Universidad Complutense de Madrid.Universidad de AlicanteLREC

Empowering Education

Our commitment to Students and Teachers

At MINEO, we believe in fostering the next generation of data enthusiasts. That's why we're proud to offer our Professional account, completely free of charge, to all students and teachers.

Dive deep into the world of data apps, harness the power of Python notebooks, and elevate your learning or teaching experience. With MINEO, you're not just building data apps; you're shaping the future. Join us in our mission to make data science accessible to everybody.

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Data science notebook

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 support.


Start coding right now

Skip the configuration of large installation environments on your computer like Anaconda and get straight to the content in a reproducible environment based on Docker images that works in any browser.

Data Pipeline

Your class, your rules

Stress-free class management with file-level permissions, detailed access logs, bulk content actions, and project templates for preset permissions.


Integrated FileSystem

A widely available file system of up to 10TB to store all your content without the need for third-party services integrated directly in your notebooks without requiring external services or mount units.

Meet your new Super Powers.

MINEO expands traditional Jupyter Notebooks apps
into a powerful cloud platform to build and share data apps.

Supercharged Notebooks
Build and deploy supercharged Python Notebooks powered by Code, No-code & AI.
Dashboards icon
Convert Python notebooks into beautiful dashboards powered by Code, No-code & AI.
Data pipelines
Data Pipelines
Run python notebooks with your desired frequency or combine multiple notebooks to create pipelines.
MINEO Assistant
Streamline data apps with AI-powered code guidance, insightful data interpretation, and advanced text editing.
Design first
Adjust and perfect every design detail of the notebooks, from colors and sizes to paddings and backgrounds.
Data sources
Connect MINEO to databases and files using just the credentials.
Data Observability
Measure and track the quality of your data using machine learning 🤖 and custom business rules.
MINEO Workbench provides an easy way to build SQL queries and analyse your data without any development time.
Manage your organization
Manage your entire organisation with fine-grained permissions (ACL) in one platform.
Reproducible environments
Run your data apps in dockerized environments with support for the installation of any package you like.
Integrated Filesystem
Organise your data and files with a full-featured file system accessible from notebooks.
Scalable platform
Dynamic scaling of your resources, providing environments for any size including GPUs.

MINEO in action for Education.

Real examples of how MINEO can improve Education in Data Science.


A tiny vision language model that kicks ass and runs anywhere

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Face Recognition Demo

Dashboard that uses pre-trained facial recognition models to demonstrate the capabilities of local models integrated into dashboards.

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The Weather Notebook

Dashboard using OpenWeather API that show the weather in real time.

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Clustering exploration

An overview of different clustering algorithms

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Image Generation

Image Generation web app powered by Stable Diffusion models.

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Audio Generation with Bark

Audio Generation Data App with Bark.

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Introduction to Scikit-Learn: Machine Learning with Python

An introduction to Machine Learning using the package scikit-learn with python.

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Linguistic analysis of Moby Dick with NLTK

Linguistic analysis of Moby Dick with NLTK, Python and Mineo Widgets.

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Webscraping with Python

Tutorial of how to autoscrape a website with autoscraper package.

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Access datasources from notebooks

Notebook that explains how to access datasources from notebooks.

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COVID-19 Visualization & Prediction

Prediction and visualization of COVID-19 global pandemy.

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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.

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