uvify 0.1.1

Get one-liner commands for faster python environment uv python manager.

Uvify

Faster python environments. Turn any GitHub repository or local directory to a uv command.

• uvify uses GitIngest and uv python manager.
• It creates python environments faster, and to build dockerfiles faster.

uv is by far the fastest python and package manager.

Source: https://github.com/astral-sh/uv

Command Line: Using uvify CLI locally

Dog Fooding - uvify on uvify:

uv run --with uvify uvify https://github.com/psf/requests | jq

[
  {
    "file": "pyproject.toml",
    "fileType": "pyproject.toml",
    "oneLiner": "uv run --python '3.10' python",
    "uvInstallFromSource": "uv run --with 'git+https://github.com/psf/requests' --python '3.10' python",
    "dependencies": [],
    "packageName": null,
    "pythonVersion": "3.10",
    "isLocal": false
  },
  {
    "file": "setup.py",
    "fileType": "setup.py",
    "oneLiner": "uv run --python '>=3.8.10' --with 'certifi>=2017.4.17,charset_normalizer>=2,<4,idna>=2.5,<4,urllib3>=1.21.1,<3,requests' python -c 'import requests; print(requests.__version__)'",
    "uvInstallFromSource": "uv run --with 'git+https://github.com/psf/requests' --python '>=3.8.10' python",
    "dependencies": [
      "certifi>=2017.4.17",
      "charset_normalizer>=2,<4",
      "idna>=2.5,<4",
      "urllib3>=1.21.1,<3"
    ],
    "packageName": "requests",
    "pythonVersion": ">=3.8",
    "isLocal": false
  }
]

Query specific fields:

Parse all python artifacts in repository:

uvify psf/requests
uvify https://github.com/psf/requests

Parse specific fields in the response

uvify psf/black | jq '.[] | {file: .file, pythonVersion: .pythonVersion, dependencies: .dependencies, packageName: .packageName}'

Use existing python repos with 'uv':

uvify psf/requests | jq '.[0].oneLiner'
"uv run --with 'git+https://github.com/psf/requests' --python '3.11' python"

Install a repository with 'uv' from github sources:

uvify psf/requests | jq '.[0].uvInstallFromSource'

List the dependencies.

uvify psf/requests | jq '.[].dependencies'
[
  "certifi>=2017.4.17",
  "charset_normalizer>=2,<4",
  "idna>=2.5,<4",
  "urllib3>=1.21.1,<3"
]

HTTP API: Using uvify with client/server architecture instead of CLI

# Run the server
uv run uvicorn src.uvify:api --host 0.0.0.0 --port 8000

# Using curl
curl http://0.0.0.0:8000/psf/requests | jq

# Using wget
wget -O-  http://0.0.0.0:8000/psf/requests | jq .oneLiner

Developing

# Install dependencies
uv venv
uv sync --dev
uv run pytest

# Install editable version locally
uv run pip install --editable .
uv run uvify psf/requests

# Run the HTTP API with reload
uv run uvicorn src.uvify:api --host 0.0.0.0 --port 8000 --reload 
curl http://0.0.0.0:8000/psf/requests | jq

Thanks

Thanks to the UV team and Astral for this amazing tool.