conda-pack
Package conda environments for redistribution
Decision gist · record as of 2026-08-14
Yes. conda-pack is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem in conda-based deployment workflows. It is permissively licensed and supports current Python versions. Install it if you need to distribute conda environments across machines or into restricted environments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an active conda installation to pack existing environments; the tool itself is Python-based but operates on conda environments.
- Low install friction with a single runtime dependency (setuptools).
- Active maintenance with a recent release 59 days ago and ongoing repository activity; last commit on 2026-08-10 indicates current development.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is a permissive license with minimal restrictions—you can use, modify, and distribute conda-pack freely in commercial and private projects provided you include the license notice.
last release 2026-06-16 (59 days) · last repo commit 2026-08-10 · 575 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 159,874 downloads/mo, #10,686 on PyPI
Alternatives
Verify before relying
pip install conda-pack
from conda_pack import pack_conda
pack_conda(name='my-env', output='my-env.tar.gz')- Whether the package supports packing conda environments created with mamba or other conda-compatible managers.
- Performance characteristics when packing very large environments (size, time, memory usage).
- Compatibility guarantees when unpacking on different operating systems or architectures.
What it is and what it does
conda-pack is a command-line tool that bundles a conda environment into a portable, compressed archive suitable for deployment to machines where conda may not be installed. It solves the problem of environment consistency across development, testing, and production by capturing the exact state of an environment—all dependencies, versions, and configurations—and making it relocatable.
The tool is typically used in deployment pipelines, containerization workflows, or when distributing reproducible computational environments to collaborators or production systems. It depends only on setuptools and integrates with the conda ecosystem, making it a lightweight addition to existing conda-based workflows.
Use it for
- Package a data science environment with specific library versions for deployment to a production server without conda.
- Create portable environments for sharing reproducible research or analysis workflows with collaborators.
- Bundle Python environments for deployment in restricted environments where conda installation is not permitted.
- Simplify CI/CD pipelines by pre-packing tested environments instead of rebuilding them on each deployment.
- Archive development environments for long-term reproducibility or compliance documentation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
conda-pack is actively maintained, has low install friction, carries no known vulnerabilities, and solves a real problem in conda-based deployment workflows. It is permissively licensed and supports current Python versions. Install it if you need to distribute conda environments across machines or into restricted environments.
Install
conda-pack on PyPI
Before you install
Low install friction with a single runtime dependency (setuptools). Active maintenance with a recent release 59 days ago and ongoing repository activity; last commit on 2026-08-10 indicates current development.
Requires an active conda installation to pack existing environments; the tool itself is Python-based but operates on conda environments.
License in practice
BSD-3-Clause is a permissive license with minimal restrictions—you can use, modify, and distribute conda-pack freely in commercial and private projects provided you include the license notice.
Quickstart
pip install conda-pack
from conda_pack import pack_conda
pack_conda(name='my-env', output='my-env.tar.gz')Verify before relying
- Whether the package supports packing conda environments created with mamba or other conda-compatible managers.
- Performance characteristics when packing very large environments (size, time, memory usage).
- Compatibility guarantees when unpacking on different operating systems or architectures.
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagesetuptools |
| Maintenance | Actively maintained 59 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 159,874 / month, #10,686 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Software Development :: Build ToolsTopic :: System :: Archiving :: PackagingTopic :: System :: Software Distribution |
Evidence: conda_pack-0.9.2-py3-none-any.whl
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See also relenv · venv-pack · ensureconda · virtualenv-clone · lifelines · pyproject2conda · cf-units · distribute · conda-package-handling · arch