VibeFoundry IDE

A local desktop IDE for data analysis.

Features

  • Local File Management - Browse and manage your project files
  • Script Runner - Run Python scripts locally with auto-preview of outputs
  • Data Preview - View CSV, Excel, and image files directly in the IDE
  • Auto-generated metadata - Per-folder schema digest for input/output data

Installation

# Install the package
pip install -e .

# Build the frontend
cd frontend && npm install && npm run build && cd ..

Usage

# Launch the IDE
vibefoundry

# Or specify a project folder
vibefoundry /path/to/project

Development

# Run frontend dev server
cd frontend && npm run dev

# Run backend separately
python -m vibefoundry.server

Publishing

The publish flow reads the PyPI token from .env (gitignored):

PYPI_TOKEN=pypi-...

.env is expected to be present in the project root — publish.sh sources it automatically. Bump the version and ship:

./publish.sh 0.1.307

Architecture

  • frontend/ - React-based UI (Vite + React)
  • src/vibefoundry/ - Python backend (FastAPI)
    • server.py - Main API server
    • watcher.py - File change detection
    • runner.py - Script execution
    • metadata.py - Metadata generation

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.8.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for vibefoundry from gravatar.com vibefoundry

Credits

Author: VibeFoundry

License

MIT License (MIT)

Requires

Python >=3.9

Provides Extra

dev

Tags

ide data-science scripts codespace

Classifiers

Report project as malware

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Source Distribution

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  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

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  • Uploaded using Trusted Publishing? No
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