Mito
Mito for Streamlit
  • Mito Documentation
  • Getting Started
    • Installing Mito
      • Fixing Common Install Errors
      • Installing Mito in a Docker Container
      • Installing Mito for Streamlit
      • Installing Mito for Dash
      • Installing Mito in a Jupyter Notebook Directly
      • Installing Mito in Vertex AI
      • Setting Up a Virtual Environment
  • Data Copilot
    • Data Copilot Core Concepts
    • Agent
    • Chat
    • Autocomplete
    • Smart Debugging
    • Configuration Options
    • AI Data Usage FAQ
  • Apps (Beta)
    • Mito Apps
  • Mito Spreadsheet
    • Core Concepts
    • Creating a Mitosheet
      • Open Existing Virtual Environments
    • Importing Data
      • Importing CSV Files
      • Importing from Excel Files
      • Importing Dataframes
      • Importing from a remote drive
      • Import: Generated UI from any Python Function
      • Importing from other sources
    • Graphing
      • Graph Creation
      • Graph Styling
      • Graph Export
    • Pivoting/Group By
    • Filter
      • Filter By Condition
      • Filter By Value
    • Mito AI
    • Summary Statistics
    • Type Changes
    • Spreadsheet Formulas
      • Custom Spreadsheet Functions
      • Formula Reference
      • Using VLOOKUP
    • Editing Individual Cells
    • Combining Dataframes
      • Merge (horizontal)
      • Concatenate (horizontal)
      • Anti-merge (unique)
    • Sort Data
    • Split Text to Columns
    • Deleting Columns
    • Deleting Rows
    • Column Headers
      • Editing Column Headers
      • Promote Row to Header
    • Deduplicate
    • Fill NaN Values
    • Transpose
    • Reset Index
    • Unpivot a Dataframe (Melt)
    • Formatting
      • Column Formatting
      • Dataframe Colors
      • Conditional Formatting
    • Exporting Data
      • Download as CSV
      • Download as Excel
      • Generate code to create Excel and CSV reports
    • Using the Generated Code
      • Turn generated code into functions
    • Changing Imported Data
    • Code Snippets
    • Custom Editors: Autogenerate UI from Any Function
    • Find and Replace
    • Bulk column header edits
    • Code Options
    • Scheduling your Automation
    • Keyboard Shortcuts
    • Upgrading Mito
    • Enterprise Logging
  • Mito for Streamlit
    • Getting Started with Mito for Streamlit
    • Streamlit Overview
    • Create a Mito for Streamlit App
    • API Reference
      • Understanding import_folder
      • RunnableAnalysis class
      • Column Definitions
    • Streamlit App Gallery
    • Experienced Streamlit Users
    • Common Design Patterns
      • Deploying Mito for Streamlit in a Docker Image
      • Using Mito for Final Mile Data Cleaning
  • Mito for Dash
    • Getting Started
    • Dash Overview
    • Your First Dash App with Mito
    • Mito vs. Other Dash Components
    • API Reference
      • Understanding import_folder
    • Dash App Gallery
    • Common Design Patterns
      • Refresh Sheet Data Periodically
      • Change Sheet Data from a Select
      • Filter Other Elements to Data Selected in Mito
      • Graph New Data after Edits to Mito
      • Set Mito Spreadsheet Theme
  • Tutorials
    • Pass a dataframe into Mito
    • Create a line chart of time series data
    • Delete Columns with Missing Values
    • Split a column on delimiter
    • Rerun analysis on new data
    • Calculate the difference between rows
    • Calculate each cell's percent total of column
    • Import multiple tables from one Excel sheet
    • Share Mito Spreadsheets Across Users
  • Misc
    • Release Notes
      • April 15 - Now Streaming (0.1.18)
      • March 21 - Smarter, Faster, Stronger Agents
      • February 25 - Agent Mode QoL Improvements
      • February 18 - Mito Agents
      • January 2nd - Inline Completions Arrive
      • December 6th - Smarter Workflow
      • November 27th - @ Mentions, Mito AI Server
      • November 4th, 2024 - Hello Mito AI
      • October 8, 2024 - JupyterLab 4
      • Aug 29th, 2024
      • June 12, 2024
      • March 19, 2024
      • March 13th, 2024
      • February 12th, 2024: Graphing Improvements
      • January 25th, 2024
      • January 5th, 2023: Keyboard Shortcuts
      • December 6, 2023: New Context Menu
      • November 28, 2023: Mito's New Toolbar
      • November 7, 2023: Multiplayer Dash
      • October 23, 2023: RunnableAnalysis class
      • October 16, 2023: Mito for Dash, Custom Editors
      • September 29, 2023: VLOOKUP and Find and Replace!
      • September 7, 2023
      • August 2, 2023: Mito for Streamlit!
      • July 10, 2023
      • May 31, 2023: Mito AI Recon
      • May 19, 2023: Mito AI Chat!
      • April 27, 2023: Generate Functions, Performance improvements, bulk column header transformations
      • April 18, 2023: Cell Editor Improvements, BYO Large Language Model, and more
      • April 10, 2023: AI Access, Excel-like Cell Editor, Performance Improvements
      • April 5, 2023: Range formulas, Pandas 2.0, Snowflake Views
      • March 29, 2023: Excel Range Import Improvements
      • March 14, 2023: Mito AI, Public Interface Versioning
      • February 28, 2023: In-place Pivot Errors
      • February 7, 2023: Excel-like Formulas, Snowflake Import
      • January 23, 2023: Excel range importing
      • January 8, 2023: Custom Code snippets
      • December 26, 2022: Code snippets and bug fixes
      • December 12, 2022: Group Dates in Pivot Tables, Reduced Dependencies
      • November 15, 2022: Filter in Pivot
      • November 9, 2022: Import and Enterprise Config
      • October 31, 2022: Replay Analysis Improvements
      • Old Release Notes
      • August 10, 2023: Export Formatting to Excel
    • Mito Enterprise Features
    • FAQ
    • Terms of Service
    • Privacy Policy
  • Mito
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On this page
  • Additional features in Mito Enterprise
  • Remote File System Access
  • Conditional Formatting
  • Custom Importers (database integration)
  • Custom Transformations
  • End-to-end Report Scheduling
  • Code Configuration Options
  • Admin Settings
  • Disable Telemetry
  • Enterprise Logging

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  1. Misc

Mito Enterprise Features

Features that are unique to Mito Enterprise help drive Python adoption and allow you to integrate Mito into existing enterprise infrastructure.

PreviousAugust 10, 2023: Export Formatting to ExcelNextFAQ

Last updated 1 year ago

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Additional features in Mito Enterprise

Mito Enterprise features are not included in Mito open source. These features are designed for large orginizations that want to integrate Mito with their infrastructure in order to more effectively drive large-scale python adoption

Remote File System Access

Mito Enterprise allows users to import from remote drives on Mac, Windows, and Linux, making it easier for users to import CSV and Excel files from shared company folders.

Importing from a remote drive is particularly useful when a file is kept up to date by several team members. Importing directly from the remote drive means users don't need to coordinate with their local copy of the file before using it in Mito.

Remove drive file access is available for Mito Enterprise users through the

Conditional Formatting

Conditional formatting makes it easy to highlight certain values in your data. For example, an analyst could use conditional formatting to highlight MoM returns above 5% in green so that the most outlier values stand out when their manager reviews the data.

Crucially, users can export this conditional formatting directly to Excel, allowing Mito Enterprise users to create fully presentation-ready Excel reports with Mito.

Custom Importers (database integration)

Figuring out how to access data in an enterprise is a major blocker for analysts to get started building a Python automation. Even after having the correct permissions, analysts might spend a few weeks figuring out which tables contain the data they need.

Custom importers allow the data experts in your organization to write Python functions that query commonly used data. Mito automatically turns these Python functions into a UI that spreadsheet users can interact with to import their data.

Custom Transformations

Sheet Function Extensions

With Mito Enterprise, you can add custom functions directly into the spreadsheet. Those custom functions will be treated as first class formulas just like the SUM or IF fucntion are currently. That means they'll have in-app documentation, syntax support, etc.

These custom functions can hook up to APIs, access internal systems, or do anything else you'd do in Python!

Custom Editors Extensions

Extend the Mito spreadsheet with internal Python functions that operate on dataframes. Just like with custom importers and spreadsheet functions, Mito will seamlessly integrate these editors into the spreadsheet UI so users can take advantage of Python code written specifically for them without having to search through a catalog of Python scripts.

End-to-end Report Scheduling

After completing their analysis in Mito, users can schedule the analysis to execute through a Github Action on some consistent time-interval. This feature is currently in Beta.

Code Configuration Options

Code configuration options let you turn the Mito generated code into a function that works for your data processing pipeline. Set the function paramater names, import required modules, etc.

Doing so means you can plug and play the Mito generated code into your automation pipeline without additional script processing.

Admin Settings

Mito Enterprise is designed to be configurable to your needs. As such, admin settings allow for:

  1. Disabling / hiding any specific feature

  2. Setting a custom support email

  3. Setting default code configuration options

  4. Bring your own custom LLM

  5. Other common admin settings

Disable Telemetry

Mito Enterprise is, by default, entirely local. No data leaves the system it is installed on.

Mito open source collects basic telemetry data for product improvements.

Enterprise Logging

Mito Enterprise allows you to bring your own logging server. This means that you can track and understand the usage of Mito and Python in your orginization, and improve your Python adoption strategies as a result.

standard Mito file import flow.
Conditional Formatting
Import: Generated UI from any Python Function
Custom Spreadsheet Functions
Custom Editors: Autogenerate UI from Any Function
Scheduling your Automation
Code Options
Enterprise Logging