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Buildout vs conda-lock

Buildout

buildout.org

conda-lock

conda.github.io

Side by side

FigureBuildoutconda-lock
Price from—Free
Free plan—Yes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published01
Spec score · Python Package Managers7.7 (#15)8.0 (#9)
InstallationThe recommended installation method is pip inside a virtual environment, using `pip install zc.buildout`.The project documents installation through pip, conda, and mamba, and recommends isolated installs with pipx or condax to reduce dependency-conflict risk.
PurposeBuildout automates software assembly, including running build tools and applying software and templates to generate configuration files and scripts.conda-lock is a lightweight library for generating fully reproducible lockfiles for conda environments.

Plans

Buildout

No plans published.

Buildout pricing →

conda-lock

  • Free and open sourceFree

conda-lock pricing →

In their own words

Buildout

Buildout has no write-up on Specifiction yet; its figures are above.

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conda-lock

conda-lock is a lightweight library for producing reproducible lockfiles for conda environments. It solves dependencies separately for each target platform, allowing installations from generated lockfiles to avoid running the conda solver. Inputs can come from environment.yml, conda-build meta.yaml, or pyproject.toml dependency specifications. Its default unified lockfile covers multiple platforms and can be rendered into other lockfile formats. Documented target examples include Linux, macOS, Windows, and additional Linux architectures. The project describes use alongside conda, mamba, pip, Docker, and pixi, and provides installation routes through pip, conda, and mamba; pipx or condax are recommended for isolated installation. Mixed conda-and-pip locking is experimental. Channel access supports token or basic authentication, with environment-variable substitution for credentials. The unified lockfile can omit raw credential-bearing channel URLs when it matches credential portions to environment variables, although rendered explicit lockfiles may contain substituted variables. Private pip repository support is limited to legacy PyPI repositories using basic authentication. The software is MIT-licensed and free.

Visit conda.github.io