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conda-lock vs Mamba

conda-lock

conda.github.io

Mamba

mamba.readthedocs.io

Side by side

Figureconda-lockMamba
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
API—Yes
Self-hosted—Yes
Plans published11
Spec score · Python Package Managers8.0 (#9)8.8 (#2)
InstallationThe project documents installation through pip, conda, and mamba, and recommends isolated installs with pipx or condax to reduce dependency-conflict risk.The docs recommend installing Mamba through the Miniforge distribution, which comes with conda-forge preconfigured, and also document Miniforge Docker images.
Purposeconda-lock is a lightweight library for generating fully reproducible lockfiles for conda environments.Mamba is a fast, robust, cross-platform package manager that manages conda environments.

Plans

conda-lock

  • Free and open sourceFree

conda-lock pricing →

Mamba

  • MambaFree

Mamba pricing →

In their own words

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

Mamba

Mamba manages conda environments across Linux, macOS, Windows, API, and self-hosted setups. It creates and activates environments, installs packages, and runs commands inside them. It works with conda packages and supports most conda commands; its parallel downloads and libsolv solver speed package resolution. The framework includes the mamba command-line interface, the libmamba C++ library, micromamba, and Python bindings. Environment creation accepts text, Conda YAML, explicit, and conda-lock YAML specifications, and micromamba can install conda-lock files directly. The repoquery command searches repositories and can display direct, recursive, and reverse dependencies. Environments are self-contained prefixes that can manage native dependencies across programming languages. Mamba documents verification for package archives and extracted files, while repository index verification remains experimental. By default, it warns and asks for confirmation before transactions run package link scripts that can perform system operations. Mamba is free, open-source software under the BSD-3-Clause license, with lockfile support.

Visit mamba.readthedocs.io