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MinusX AI Data Scientist for Your Analytics Apps

MinusX
Freemium
From 49$

Home: https://minusx.ai

Social:
  • #Data Science
  • #Chrome Extension
  • #Analytics
  • #jupyter notebooks
  • #Metabase
  • #posthog

What is MinusX?

MinusX is an innovative Chrome Extension that transforms how users interact with their analytics applications. Acting as an AI data scientist, it seamlessly integrates with popular platforms like Jupyter, Metabase, Sheets, and PostHog, allowing users to explore data and generate insights using natural language commands.

The tool operates directly within existing analytics environments, executing actions by clicking and typing just as a human would. With capabilities ranging from generating hypotheses to manipulating data, MinusX enhances data analysis workflows while maintaining context awareness to choose the most appropriate actions for each situation.

Features

  • Natural Language Processing: Generate hypotheses and manipulate data using conversational commands
  • Tool Integration: Works within existing analytics platforms like Jupyter, Metabase, PostHog, and Sheets
  • Quick Access: Command palette accessible through ⌘+k shortcut
  • Interactive Selection: Select specific areas to ask questions or request modifications
  • Context Awareness: Maintains understanding of the current application environment
  • Notebook Compatibility: Modify and extend existing Jupyter notebooks

Use Cases

  • Data analysis and exploration
  • Generating insights from datasets
  • Automated hypothesis testing
  • Data manipulation and transformation
  • Interactive data visualization
  • Notebook modification and extension

FAQs

  • Is minusx a new platform?
    No, MinusX works in your existing analytics tools like Jupyter notebooks, Metabase, etc. Given an instruction, MinusX operates the app - by clicking and typing, just like you would - to analyze your data and answer queries.
  • How is my data handled?
    All metadata is stored on your browser, including table schemas, code, queries, and a sample of query outputs. This is used to set the context for your instruction and sent to the LLM.
  • Which models do you support?
    Currently we support Claude Sonnet 3.5, GPT-4o and GPT-4o mini. We are also working on a way to let you choose your own models as well as bring your own models.

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