---
id: unidep
version: "3.4.2"
license: unclear
license_treatment: unclear
maintenance: active
---

# unidep — Unified Conda and Pip requirements management.

License: unclear · Maintenance: active · Downloads: 79.1K/mo

## What it is and what it does

UniDep is a CLI tool and build-system plugin that consolidates Conda and Pip dependency specifications into a single source of truth. Instead of maintaining separate `requirements.txt`, `environment.yaml`, and `pyproject.toml` files, you write dependencies once in either `requirements.yaml` or `pyproject.toml`, and UniDep generates platform-specific lock files, Conda environments, and pip requirement files on demand.

It integrates with Setuptools and Hatchling to handle local dependencies in monorepos, supports platform selectors for OS-specific packages, and can generate `conda-lock.yml`, `pixi.toml`, and pinned `requirements.txt` files. The tool is designed to reduce the friction of juggling multiple package managers and dependency formats, particularly in projects that need both Python packages (from PyPI) and system-level or scientific packages (from Conda channels).

Use it for:

- Manage monorepos where multiple sub-packages share dependencies and need consistent lock files across all platforms.
- Projects requiring both PyPI packages and Conda packages (e.g., scientific computing with compiled libraries) without maintaining separate dependency files.
- Generate fully pinned `conda-lock.yml` or `requirements.txt` from a single declarative source for reproducible CI/CD builds.
- Specify platform-specific dependencies (e.g., different packages for macOS, Linux, Windows) in one file.
- Integrate dependency management into build workflows via Setuptools or Hatchling without external configuration files.

## Worth the install?

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

UniDep unifies Conda and Pip dependency management by reading from a single `requirements.yaml` or `pyproject.toml` file and generating pinned lock files, environment configurations, and handling both Python and non-Python package installation.

Yes, with conditions. UniDep is actively maintained, has low install friction, and solves a real problem for projects mixing Conda and Pip dependencies. However, the license status is unclear—verify the actual license in the repository before adopting in a commercial or restricted context. If you manage monorepos or need cross-platform dependency pinning, it is worth evaluating.

## Install

pip install unidep
uv add unidep
poetry add unidep

## Installing unidep

Before you install: Low friction: pure Python wheel with only three runtime dependencies (packaging, ruamel.yaml, tomli). Active maintenance with a release 50 days ago and 243 repository stars.

License in practice: License status is unclear—no SPDX identifier or raw license text is recorded in the package metadata. Verify the actual license before adopting in a commercial or restricted context.

Quickstart:

pip install unidep

# Create a requirements.yaml with both conda and pip packages
unidep install  # Installs all dependencies from requirements.yaml or pyproject.toml

Requires Python 3.9 or later.

Verify before relying:

- Whether the unclear license is documented in the repository or GitHub releases.
- Whether conda and mamba are required or optional for unidep's core functionality.
- Performance characteristics when handling large monorepos or complex dependency graphs.

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 79.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

conda pip unified dependency management, requirements.yaml monorepo dependencies, conda-lock pip-compile integration, cross-platform dependency resolution, python non-python package management, environment.yaml generator, pixi.toml from requirements, dependency-management, monorepo-friendly, conda-pip-bridge

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