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Production grade data ops platform for your data apps

Mineo is the platform to explore your data, build and deploy Python-powered supercharged notebooks. It also monitors the quality of your data using machine learning ๐Ÿค–.

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A better Python Notebook

Mineo takes Python notebooks to the next level by adding production-grade features such as:

  • Switchable layout modes: Notebook, Dashboard and Mobile.
  • No code Widgets (SQL Query, Graphics, Tables, KPIs, Title, Images and Forms) to explore and interact with your content without programming.
  • First class editor, with auto indent, code completition, command palette and variable inspector.
  • Integrated SQL Data sources to access databases (PostgreSQL, MySQL, Oracle, SQLServer, AWS RedShift, Clickhouse, ...) and files (CSV) directly in streaming.
  • Compatible with Jupyter notebooks. Import your existing notebooks from .ipynb or export from mineo to other apps.
  • Built-in version control system.
  • Ability to share and work collaboratively thanks to Comments and Tasks.
  • Integrated filesystem to store your data up to 10TB.
  • Ability to export your notebook to PDF.
  • Support for project wide variables.
  • Support for Python blocks, Markdown, LaTeX and Widgets.
  • Detailed logs and permissions (view, view code, execute) at user/group level. Perfect for delivering results with notebooks.
  • Automatic code generation ๐Ÿค– powered by OpenAI.
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Start coding right now

Skip the installation of large installation environments on your computer like anaconda and get straight to the content in a reproducible environment that works even in mobile devices.

  • Notebooks in your browser. Run your notebooks directly on our scalable SaaS platform that scales with your demands. From small environments to large requirements of RAM, CPU or GPUs.
  • Use pre-built Docker images to ensure you have the exactly environment you want.
  • Mineo provides a Linux-based environment for installing packages directly on your notebook using standard tools such as apt, pip or git.
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Data pipelines

Automate and streamline your workflows with Python-based data pipelines that leverage the power of notebooks.

  • Compose pipelines based on multiple notebooks.
  • Ability to schedule pipelines at your desired frequency.
  • Support for injecting variables for each step and sending emails with the results of a pipeline.
  • Support for detailed logs and custom docker images.
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Interactively explore your data sources without spending development time or writing complex SQL.

  • Interactive query editor based on drag-and-drop components.
  • Supported Data sources: databases: PostgreSQL, MySQL, Oracle, SQLServer, AWS RedShift, Clickhouse and CSV files.
  • Support for built-in SQL functions.
  • Export results to CSV & SQL.
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Integrated FileSystem

A widely available file system of up to 10TB to store all your content without the need for third-party services.

  • Common actions such as Copy, Move, Rename, Clone... supported
  • Ability to export folders and contents to ZIP and vice versa.
  • File editor for text files (Text, Markdown, CSV, Python)
  • End-user friendly access with customisable icons and views.
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Data Observability

Establish processes to measure and track the quality of your data over the time using machine learning ๐Ÿค–

Supported data trackers:

  • Expected rows (forecast) vs actual.
  • Schema changes.
  • Distribution of the data.
  • Asserts (based on SQL).
  • Calculated variables (forecast and user-defined ranges).
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Manage your project

Manage your project and organisation down to the last detail. Deliver results with notebooks.

  • Define permissions at user or group level for every resource.
  • Ability to set detailed file level permissions (view, edit, create)
  • Global look and feel configuration and data formats.
  • Detailed logs and statistics to control and view accesses to your content
  • Public mode to share content with just the link.
Get started for free ๐Ÿš€

Mineo in action for Enterprise


Data ops made for you

Supercharged Notebooks
Build and deploy supercharged Python notebooks powered by no-code widgets.
Data Pipelines
Run python notebooks with your desired frequency or combine multiple notebooks to create pipelines.
Data observability
Measure and track the quality of your data using machine learning ๐Ÿค– and custom business rules.
Mineo Workbench provides an easy way to build SQL queries and analyse your data without any development time.
Data sources
Connect Mineo to standard data sources using just the credentials.
Manage your organization
Manage your entire organisation with fine-grained permissions (ACL) in one platform.
Reproducible environments
Run your notebooks in a containerised environment with support for the installation of any package you like.
Integrated FileSystem
Organise your data and files with a full-featured file system.
Scalable platform
Dynamic scaling of your resources, providing workers for any size, including GPUs.
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