---
id: pip-tools
version: "7.6.1"
license: BSD
license_treatment: permissive
maintenance: active
---

# pip-tools — pip-tools keeps your pinned dependencies fresh.

License: permissive · Maintenance: active · Downloads: 17.4M/mo

## What it is and what it does

pip-tools is a pair of command-line utilities—pip-compile and pip-sync—that solve the problem of keeping Python dependencies both explicitly pinned for reproducibility and automatically updated. pip-compile reads your high-level dependency declarations (from pyproject.toml, setup.py, setup.cfg, or requirements.in) and resolves them into a locked requirements.txt with all transitive dependencies pinned to specific versions, annotated with their dependency chains. pip-sync then installs or removes packages to match that locked file exactly.

The package is designed for teams building production Python applications where deterministic, repeatable builds are essential. It supports modern packaging standards and legacy setuptools configurations. It can selectively upgrade specific packages or all packages at once, and preserves existing pins unless explicitly told to upgrade, keeping your lock file stable across runs.

Use it for:

- Generate a locked requirements.txt from pyproject.toml for a Django application to ensure CI/CD builds are deterministic.
- Upgrade a single dependency while keeping all others pinned, then sync the environment to match.
- Compile optional dependencies into separate lock files for different deployment contexts.
- Pin transitive dependencies in an open-source package's CI to prevent unexpected breakage from upstream updates.
- Manage requirements across multiple Python versions by running pip-compile in each version's virtual environment.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

pip-tools provides command-line tools to compile and manage pinned Python package dependencies, ensuring reproducible and deterministic builds by resolving transitive dependencies into locked requirement files.

Yes. pip-tools is a mature, actively maintained standard for dependency pinning in Python projects. It has zero known vulnerabilities, low install friction, permissive licensing, and broad Python version support. Use it if you need reproducible builds or want to lock transitive dependencies; skip it only if you're using a different lock-file tool or have no reproducibility requirements.

## Install

pip install pip-tools
uv add pip-tools
poetry add pip-tools

## Installing pip-tools

Before you install: Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release (2 days old) and strong community engagement (8009 GitHub stars). Depends on standard packaging tools (build, click, pip, setuptools, wheel) that are typically already present in development environments.

License in practice: BSD permissive license allows unrestricted use, modification, and distribution in both open-source and proprietary projects with minimal obligations.

Quickstart:

pip install pip-tools
pip-compile requirements.in
pip-sync requirements.txt

Requires Python 3.9 or later; must be installed in each project's virtual environment.

Verify before relying:

- Whether pip-compile handles all edge cases with conditional dependencies and environment markers as documented.
- Performance characteristics when resolving large dependency trees or monorepo structures.
- Full feature set and limitations of the hashing functionality mentioned in the description excerpt.

## Package facts

- License: BSD (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 17.4M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

pin python dependencies, lock requirements file, compile dependencies, deterministic builds, pip-compile pip-sync, dependency resolver, requirements management, dependency-management, reproducible-builds

[View on SkillFed](https://skillfed.io/packages/pip-tools) · [View on PyPI](https://pypi.org/project/pip-tools/)