coquibot/coqui-toolkit-python-env

Python virtual environment and dependency management toolkit for Coqui — create, inspect, install, and remove venvs using pip, conda, or uv

Maintainers

Package info

github.com/carmelosantana/coqui-toolkit-python-env

pkg:composer/coquibot/coqui-toolkit-python-env

Statistics

Installs: 0

Dependents: 0

Suggesters: 0

Stars: 0

Open Issues: 0

v0.1.0 2026-04-08 23:37 UTC

This package is auto-updated.

Last update: 2026-04-08 23:38:59 UTC


README

Manage Python virtual environments and dependencies through Coqui. Supports pip (venv), conda, and uv backends.

Installation

composer require coquibot/coqui-toolkit-python-env

Coqui discovers the toolkit automatically via composer.json metadata.

Requirements

  • PHP 8.4+
  • Python 3.8+ (system-installed)
  • One or more Python environment backends:
    • venv + pip — included with Python (default)
    • condaMiniconda or Anaconda
    • uvAstral's uv (fast alternative)

Tools

Tool Description
python_env_detect Scan a project directory for dependency files, existing environments, and system tools
python_env_create Create a new virtual environment (venv, conda, or uv)
python_env_status Check environment health: Python version, pip version, package count, CUDA support
python_env_install Install packages from names, requirements.txt, pyproject.toml extras, or conda env files
python_env_list List installed packages in table, freeze, or JSON format
python_env_run Execute inline Python code, scripts, or modules inside the environment
python_env_remove Delete an environment with safety confirmations

Typical Workflow

1. python_env_detect  → Scan the project, find dependency files
2. python_env_create  → Create a .venv in the project directory
3. python_env_install → Install dependencies from requirements.txt or pyproject.toml
4. python_env_status  → Verify everything is working
5. python_env_run     → Execute code or scripts

Backend Comparison

Feature venv + pip conda uv
Speed Moderate Slow Very fast
Python version management No Yes Yes
Non-Python packages (C libs) No Yes No
GPU/CUDA packages Via index URL Native Via index URL
Disk usage Low High Low
Best for General projects Scientific/ML Modern Python

Examples

Standard Python Project (requirements.txt)

python_env_detect(project_path: "/path/to/project")
python_env_create(project_path: "/path/to/project")
python_env_install(project_path: "/path/to/project", requirements_file: "requirements.txt")

Project with pyproject.toml and Extras

python_env_detect(project_path: "/path/to/jasper")
python_env_create(project_path: "/path/to/jasper")
python_env_install(project_path: "/path/to/jasper", requirements_file: "pyproject.toml")
python_env_install(project_path: "/path/to/jasper", requirements_file: "pyproject.toml[dev,test]")

GPU/CUDA Project (PyTorch)

python_env_create(project_path: "/path/to/project")
python_env_install(
    project_path: "/path/to/project",
    packages: ["torch", "torchvision"],
    index_url: "https://download.pytorch.org/whl/cu121"
)
python_env_install(project_path: "/path/to/project", requirements_file: "requirements.txt")

Conda Environment from environment.yml

python_env_create(project_path: "/path/to/project", backend: "conda")
python_env_install(project_path: "/path/to/project", requirements_file: "environment.yml", backend: "conda")

Using uv for Fast Installs

python_env_create(project_path: "/path/to/project", backend: "uv")
python_env_install(project_path: "/path/to/project", requirements_file: "requirements.txt", backend: "uv")

Parameters Reference

python_env_detect

Parameter Type Required Description
project_path string Yes Absolute path to the project directory

python_env_create

Parameter Type Required Default Description
project_path string Yes Absolute path to the project directory
backend enum No venv venv, conda, or uv
python_version string No Python version for conda/uv (e.g. 3.11)
env_name string No .venv Environment directory name

python_env_status

Parameter Type Required Default Description
project_path string Yes Absolute path to the project directory
env_name string No .venv Environment directory name

python_env_install

Parameter Type Required Default Description
project_path string Yes Absolute path to the project directory
packages array No List of package specifiers (e.g. ["numpy>=1.26", "pandas"])
requirements_file string No Path to requirements.txt, pyproject.toml, or environment.yml
backend enum No pip pip, conda, or uv
env_name string No .venv Environment directory name
index_url string No Custom package index (e.g. PyTorch CUDA wheels)

python_env_list

Parameter Type Required Default Description
project_path string Yes Absolute path to the project directory
format enum No table Output format: table, freeze, or json
outdated bool No false Show only packages with available updates
filter string No Filter packages by name substring
env_name string No .venv Environment directory name

python_env_run

Parameter Type Required Default Description
project_path string Yes Absolute path to the project directory
code string No Inline Python code to execute
script string No Path to a .py script (relative to project)
module string No Module to run (e.g. pytest, http.server)
args string No Additional CLI arguments
timeout number No 30 Execution timeout in seconds
env_name string No .venv Environment directory name

python_env_remove

Parameter Type Required Default Description
project_path string Yes Absolute path to the project directory
env_name string No .venv Environment directory name
confirm bool Yes Must be true to proceed

Development

composer install
composer test
./vendor/bin/phpstan analyse

License

MIT