auto_remove_with_dependencies
A CLI tool that removes a Python package along with all of its unused dependencies.
Useful when you want to clean up after uninstalling something like pandas, and don't want to leave numpy, tzdata, and other unused packages behind.
How to use
After installing it, you can use it as auto_remove uninstall modules*.
You can pass any amount of modules that you want. It will analyse all of them.
To not delete your entire enviroment, the CLI client only execute the modifications if you provide the arg --commit. If it is ommited, it will only show what modules would be uninstalled.
Metadata
Release files for auto-remove-with-dependencies 0.3.2
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 | |
|---|---|---|---|---|
| auto_remove_with_dependencies-0.3.2.tar.gz | 4.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| auto_remove_with_dependencies-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.6 kB
Release files / auto_remove_with_dependencies-0.3.2.tar.gz
| Download URL | auto_remove_with_dependencies-0.3.2.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.5
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Release files / auto_remove_with_dependencies-0.3.2-py3-none-any.whl
| Download URL | auto_remove_with_dependencies-0.3.2-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.5
|
Security for auto-remove-with-dependencies 0.3.2
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