conda-lock

library4.0.0pypypiunverified

Lightweight lockfile manager for conda environments. Version 4.0.0 requires Python >=3.10; supports conda, mamba, and micromamba. Frequent releases with active maintenance.

devops workflow

pip install conda-lock

github ↗package ↗docs ↗

INSTALL

IMPORT

SIG · CONDA-LOCK

conda-lock

devopspythonv4.0.0

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Generate a conda lockfile from an environment.yml. Run in directory with environment.yml. Produces files like conda-linux-64.lock.

conda-lock --file environment.yml

conda-lock --version

Debug

Known issues

breakingConda-lock v4 drops support for Python 3.9.

fix

Upgrade to Python >=3.10.

affects: >=4.0.0

gotchaWhen using --strip-auth, the port for private PyPI repos is also stripped, breaking authentication on non-standard ports.

fix

Use conda-lock >=3.0.2 or manually preserve the port.

affects: 3.0.1

gotchaThe --check-input-hash flag is disabled when --strip-auth is used in v3.0.1, causing unnecessary relocking.

fix

Upgrade to conda-lock >=3.0.2.

affects: 3.0.1

gotchaMamba/micromamba versions 2.0.0 through 2.0.6 are incompatible with conda-lock v3. It only supports <2 or >=2.0.7.

fix

Use mamba/micromamba <2 or >=2.0.7. Check executable with --log-level=DEBUG.

affects: >=3.0.0,<4.0.0

Errors

Common errors & fixes

KeyError: 'pkgs_dirs'

Bug in conda-lock when parsing conda configuration with missing pkgs_dirs key.

fix

Upgrade to conda-lock >=2.5.8 (backported fix) or >=3.0.0.

TypeError: expected string or null, got 'int'

Incompatibility with newer pydantic or dulwich in conda-lock v3 prior to 3.0.4.

fix

Upgrade to conda-lock >=3.0.4.

Upgrade

Version history

4.0.0latest on PyPI · released Dec 22, 2025

Audit

Dependencies

No dependency data recorded yet.

Agent activity

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OpenAI (training)

Resources

githubhttps://github.com/conda-forge/conda-lock-feedstock ↗

packagehttps://pypi.org/project/conda-lock/ ↗

docshttps://conda.github.io/conda-lock/ ↗