There are 1 repository under pip-tools topic.
A lightweight wrapper for pip to support requirements.txt, Pipenv and Poetry lock files or converting them to pip-tools compatible output. Designed for containerized Python applications but not limited to them.
hatch plugin to use pip-compile (or uv) to manage project dependencies and lockfiles
Manage Python environments in Zsh, with uv or pip-tools
Workflow tool for uv, similar to Pipenv.
"Python packaging: lo estás haciendo mal"
Simple python virtual environment and dependences manager wrapping `piptools` and `virtualenv`
pip-tools plugin for edgetest
automated script that installs Python packages efficiently, checking for existing installations and applying fixes if needed. It supports Termux and Linux-based systems, ensuring a smooth setup for developers.
Use pip-tools (https://github.com/jazzband/pip-tools) to compile a requirements.in folder into proper pinned dependencies.
Python project template with a starting structure, CI/CD. linting, testing, and code coverage analysis
A minimal Docker image that provides a Python environment with pip-tools in order to lock requirements files.
Deployment scripts for Python, Docker, AWS, Kubernetes
A pre-commit plugin that syncs the pre-commit package versions with the versions generated by pip-tools
Build system designed to streamline data projects on macOS.
A tool to update Python package dependencies across multiple file formats.
🐳 Docker images containing tools Python 2.7 and 3.12.
User registration API. Using FastAPI, PostgreSQL, Celery + RabbitMQ, Docker Compose, environment-based configuration, dependency injections, exception handling, and pytest for unit, integration and e2e coverage.
A Docker-based template for reproducible Python research, integrating pip‑tools dependency pinning, pytest, and Codecov reporting
Demonstrate publishing a basic importable Python package to TestPyPI and PyPI.
Conda-piptools makes your Conda environment and Python package management easier.
Tool for upgrading all global pip packages using just one command.
A GUI app to view and remove pip installed packages
Template for managing Python dependencies with "pip-tools". Automates virtual environments and syncs dependencies. 🚀
pip interactive shell for create,upload,package,etc.,