conda-exec
Ephemeral package execution for conda. Run commands from conda packages without installing them permanently.
conda exec ruff check .
ce ruff check .
conda-exec creates a cached, isolated environment for the tool, runs it,
and exits. The environment is reused on later runs but is not added to
PATH permanently.
conda run, conda exec, or conda global?
| Tool | Use it when | Pros | Tradeoffs |
|---|---|---|---|
conda run |
You already have a named or prefix environment and want to run a command inside it. | Built into conda. Works with user-managed project environments. Best fit when an environment is meant to be inspected, activated, exported, or maintained. | You must create and maintain the environment yourself. It does not install the requested command for you. One environment can still become a compatibility bottleneck. |
conda exec |
You want the command or script invocation to declare the environment it needs. | Keeps base and project environments untouched. Caches isolated environments by spec. Supports extra packages, channels, PEP 723 script metadata, and script locks. |
First run solves and installs. Cached environments are an implementation detail, not environments to edit by hand. Commands are not exposed on PATH. |
conda global |
You want a CLI tool permanently available from your shell. | Installs each tool into an isolated persistent environment. Exposes commands on PATH through trampolines. Records tools in a manifest for update and sync. |
It is a tool-install lifecycle, not a per-invocation dependency declaration. Less direct for one-off commands, inline script dependencies, or locked script handoffs. |
For Anaconda Project-style command catalogs, use conda exec when each
command should carry its own dependency specs, use conda global when a
tool should feel installed everywhere, and use conda run when the
customer already owns named environments.
Installation
conda install -c conda-forge conda-exec
Install conda-pypi for scripts with PyPI dependencies, and
conda-lockfiles for script lock support.
Usage
# Run a tool (creates cached environment on first use)
conda exec ruff check .
ce ruff check . # standalone alias
# Pin a version
conda exec "ruff>=0.4,<0.5" check .
# Add extra packages
conda exec --with pytest ruff check .
conda exec --with "python=3.12" jupyter lab
# Use a specific channel
conda exec -c bioconda samtools view file.bam
# Run a script with inline dependencies (PEP 723)
conda exec script.py
# Record a repeatable script environment
conda exec --lock script.py
# Force re-creation of cached environment
conda exec --refresh ruff check .
How it works
- Computes a cache key from the tool name, specs, and channels
- Checks
~/.conda/exec/envs/for a cached environment - On cache miss: solves and installs via conda's configured solver backend
- Finds the binary in the environment's
bin/directory - Runs it directly via
subprocess.runwith PATH prepended - Forwards the tool's exit code
Documentation
Full documentation at conda-incubator.github.io/conda-exec.
Contributing
pixi install
pixi run check # lint + format + typecheck
pixi run -e test test # run tests
License
BSD-3-Clause
Metadata
Release files for conda-exec 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| conda_exec-0.4.0.tar.gz | 5.9 MB | With provenance | Details for conda_exec-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| conda_exec-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for conda_exec-0.4.0-py3-none-any.whl |
Total release size: 5.9 MB
Release files / conda_exec-0.4.0.tar.gz
| Download URL | conda_exec-0.4.0.tar.gz |
|---|---|
| Size | 5.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / conda_exec-0.4.0-py3-none-any.whl
| Download URL | conda_exec-0.4.0-py3-none-any.whl |
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| Size | 29.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 22, 2026.
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