Production grade platform for your data apps

Explore your data, build, deploy and share data apps based on Python supercharged notebooks in a production-ready environment powered by Code, No-Code & AI.

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Turn your Notebooks into beautiful Dashboards

Build beautiful Dashboard using Python Notebooks and share them as live documents or beautiful dashboards thanks to Data Sources, Code, No-Code & AI.

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

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.

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 Enterprise.

Real examples of how MINEO can improve Data Science projects.

Embeddings visualizer

Visualize and interact with embeddings.

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RAG (Retrieval augmented generation)

RAG allows to incorporate custom knowledge into Large Language Models. Experiment this technology with Langchain.

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Charge Monitoring

A data app that manages an electric charger grid network

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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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Nasdaq stocks dashboard

Dashboard using yahoo finance data that shows the evolution of nasdaq stock market.

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SEO Analyzer

Dashboard that analyzes the SEO of a website using the pyseoanalyzer Python package.

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Retail sales forecast

Forecasting of retail sales including treating holidays and anomalies.

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Sprint planning

Dashboard using matplotlib to visualize that show how to manage an agile project.

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Production chain dashboard

Dashboard to visualize the performance of a production line.

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Access datasources from notebooks

Notebook that explains how to access datasources from notebooks.

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