Releases: manzt/juv
v0.4.3
v0.4.2
v0.4.1
Bug fixes
- Manually clean up temp file in
juv runon Windows (#87)
Contributors
Full Changelog: v0.4.0...v0.4.1
v0.4.0
Release Notes
This release is considered breaking since it sets a minimum bound on uv dependency to v0.6.7 or later. This could potentially affect environments where both juv and uv are Python dependencies, and there is an upper bound on the uv version (unlikely).
There are no intentional breaking changes to juv commands.
Enhancements
- Add explicit
juv synccommand (#84)
Breaking changes
- Replace
juv venvinternals withuv sync --script(#84)
Contributors
v0.3.4
What's Changed
Full Changelog: v0.3.3...v0.3.4
v0.3.3
Enhancements
- Extend
juv venvto regular python scripts (#82)
Allows for passing a script with inline script metadata to juv venv.
uv init --script foo.py
uv add --script foo.py attrs
juv venv --from foo.py
# Using CPython 3.13.0
# Creating virtual environment at: .venv
# Activate with: source .venv/bin/activate
# Using Python 3.13.0 environment at: .venv
# Resolved 1 package in 0.62ms
# Installed 1 package in 1ms
# + attrs==25.1.0Useful for quickly creating a .venv for a standalone script, which can be used by other tools like text editors or IDEs.
Contributors
v0.3.2
Enhancements
- Add
juv venvto support exporting explicit notebook environments (#80)
Some editors and environments are missing the benefits of standalone notebooks because juv manages virtual environments transparently within juv run. To improve compatibility with other tools (e.g., editors & IDEs), this release adds juv venv to export a virtual environment with all a notebook's specified dependencies (and ipykernel):
juv venv --from=Untitled.ipynb
# Using CPython 3.13.0
# Creating virtual environment at: .venv
# Activate with: source .venv/bin/activateThe resulting environment (i.e., .venv) can be selected in an editor like VS Code to run the notebook.
To create a virtual environment with only the locked dependencies (i.e., without ipykernel), use the --no-kernel flag:
juv venv --from=Untitled.ipynb --no-kernelContributors
v0.3.1
What's Changed
Full Changelog: v0.3.0...v0.3.1
v0.3.0
Release Notes
This release adds support for generating lockfiles from Jupyter notebooks using inline metadata, as defined in PEP 723. It is based on uv's recent support for locking standalone scripts, except instead of writing a separate lockfile, juv embeds (and updates) a lockfile in the Jupyter notebook metadata.
By default, notebooks remain unlocked. To lock a notebook, run juv lock /path/to/notebook.ipynb, which generates and embeds a lockfile in the notebook's metadata under the "uv.lock" key. The lockfile is respected and updated automatically when using juv run, uv add, or uv remove.
Additional commands:
juv export: Outputs an alternative lockfile format (requirements.txt
style) to stdout.uv tree: Displays the dependency tree for a script.
Both commands work with notebooks, whether locked or unlocked.
This release is considered breaking due to the lockfile support, which requires a minimum uv 0.5.18 and modifies execution.
Breaking changes
Enhancements
- Add
--clearflag tolockto clear lockfile metadata (#69) - Add
exportcommand (#70) - Add
lockcommand (#64) - Add
treecommand (#68) - Sync lockfile during
addcommand (#65) - Sync lockfile during
removecommand (#66)
Bug fixes
- Require at least one package for
addandremove(#73) - Support relative paths in the
runcommand (#72)
Contributors
v0.2.28
Other changes
- Add
removecommand (#59)
Contributors
Notes
This release adds juv remove to remove packages from a notebook or script. Dependencies are removed from the PEP-723 inline metadata. The command follows uv's semantics. See the uv docs for more information.
uvx juv init
uvx juv add Untitled.ipynb 'numpy>=1.0.0' 'polars' # adds 'numpy>=1.0.0' 'polars'
uvx juv remove Untitled.ipynb numpy # removes 'numpy>=1.0.0'