unidep
Unified Conda and Pip requirements management.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- 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 · maintenance · safety
(unclear) — 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.
last release 2026-06-25 (50 days) · last repo commit 2026-06-26 · 243 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 79,053 downloads/mo, #14,386 on PyPI
Alternatives
Verify before relying
pip install unidep
# Create a requirements.yaml with both conda and pip packages
unidep install # Installs all dependencies from requirements.yaml or pyproject.toml- 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.
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 on this page. Verify before relying on it.
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
unidep on PyPI
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.
Requires Python 3.9 or later.
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.tomlVerify 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 the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagespackagingruamel.yamltomli |
| Maintenance | Actively maintained 50 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 79,053 / month, #14,386 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: unidep-3.4.2-py3-none-any.whl
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