Powerful Python notebooks for learning
Teach and learn data science with supercharged Python notebooks in a scalable and reproducible environment.
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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.
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.
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
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 Education.
Real examples of how MINEO can improve Education in Data Science.
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.
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.
