A package that tells you the size of your dependencies in Megabytes!
Project description
depsize
The depsize package helps you measure the disk space used by your python dependencies. The purpose of this package is to help you understand how much each package contributes to the size of your app, and to help you find ways to reduce the size of the app.
Depsize supports uv and pip, and although it currently cannot parse dependencies for poetry and conda, it can tell you how to do it - and use the results with depsize.
When used in combination with docker image history this tool helps you find ways to reduce the total size of the docker image.
This package has no third party dependencies. The program only uses the built-in packages of python.
Supports python version 3.8 and newer.
Install
Install depsize with your tools of choice, for example
pip
pip install depsize
or add depsize to your requirements-dev.txt file and install it with your other dev requirements using pip install -r requirements-dev.txt.
uv
uv add depsize --dev
Or just copy the main python program as a script. It runs on all versions greater than and including python 3.7.
How to use depsize
You can run the depsize package from within your application repository from the terminal by running
Run depsize to get a description of the tool
> depsize
depsize: Get the total size of installed python dependencies in megabytes (MB).
Run 'depsize total' to get total size of dependencies, including the largest
Run 'depsize --o FILE' to export dependencies as JSON,
f.ex 'depsize --o data/packages.json'
Add '--from' to 'depsize total' and 'depsize --o' to measure size of main and dev dependencies,
f.ex 'depsize total --from requirements-main.txt'
Run depsize total to print the size of all packages in MB, and name the largest:
> depsize total
Total size of all packages: 56.27 MB
==================================================
Packages larger than 1 MB:
debugpy: 27.93 MB
zmq: 4.99 MB
jedi: 4.75 MB
pygments: 4.50 MB
IPython: 3.48 MB
prompt_toolkit: 2.24 MB
tornado: 1.76 MB
Packages smaller than 1 MB: 68 packages
Combined size of packages smaller than 1 MB: 6.62 MB
You can also get the total for a specific requirements.txt file:
> depsize total --from requirements/dev.txt
Total size of all packages: 46.36 MB
==================================================
Packages larger than 1MB:
debugpy: 27.93 MB
jedi: 4.75 MB
pygments: 4.50 MB
IPython: 3.48 MB
tornado: 1.76 MB
Packages smaller than 1 MB: 16 packages
Combined size of packages smaller than 1 MB: 3.94 MB
If there are no dependencies, depsize will also show you that:
> depsize total --from requirements/main.txt
No packages found in requirements/main.txt. Is the file empty or does it only contain comments?
Total size of all packages: 0.00 MB
==================================================
Packages larger than 1MB:
Packages smaller than 1 MB: 0 packages
Combined size of packages smaller than 1 MB: 0.00 MB
You can store the results as a json file with depsize --o File, which will contain the python packages by name, package version and size in megabytes.
> depsize --o data/packages.json
Dependencies written to data/packages.json
If you only want to measure results for the main dependencies then you can extract them from a requirements txt file like so:
> depsize --o data/packages.json --from requirements/dev.txt
Dependencies written to data/packages.json
As is the case with depsize total, if the requirements.txt file is empty you will be notified by depsize:
> depsize --o data/packages.json --from requirements/main.txt
No packages found in requirements/main.txt. Is the file empty or does it only contain comments?
Dependencies written to data/packages.json
Example JSON file contents:
[
{
"name": "appnope",
"version": "0.1.4",
"size_MB": 0.01
},
{
"name": "asttokens",
"version": "3.0.0",
"size_MB": 0.02
},
{
"name": "comm",
"version": "0.2.2",
"size_MB": 0.03
},
{
"name": "debugpy",
"version": "1.8.14",
"size_MB": 0.04
},
{
"name": "decorator",
"version": "5.2.1",
"size_MB": 0.02
},
{
"name": "executing",
"version": "2.2.0",
"size_MB": 0.16
},
{
"name": "ipykernel",
"version": "6.29.5",
"size_MB": 0.0
},
{
"name": "ipython",
"version": "9.3.0",
"size_MB": 0.02
},
{
"name": "ipython-pygments-lexers",
"version": "1.1.1",
"size_MB": null
},
{
"name": "jedi",
"version": "0.19.2",
"size_MB": 0.24
},
{
"name": "jupyter-client",
"version": "8.6.3",
"size_MB": null
},
{
"name": "jupyter-core",
"version": "5.8.1",
"size_MB": null
},
{
"name": "matplotlib-inline",
"version": "0.1.7",
"size_MB": null
},
{
"name": "nest-asyncio",
"version": "1.6.0",
"size_MB": null
},
{
"name": "packaging",
"version": "25.0",
"size_MB": 0.23
},
{
"name": "parso",
"version": "0.8.4",
"size_MB": 0.02
},
{
"name": "pexpect",
"version": "4.9.0",
"size_MB": 0.01
},
{
"name": "platformdirs",
"version": "4.3.8",
"size_MB": 0.01
},
{
"name": "prompt-toolkit",
"version": "3.0.51",
"size_MB": null
},
{
"name": "psutil",
"version": "7.0.0",
"size_MB": 0.03
},
{
"name": "ptyprocess",
"version": "0.7.0",
"size_MB": 0.0
},
{
"name": "pure-eval",
"version": "0.2.3",
"size_MB": null
},
{
"name": "pygments",
"version": "2.19.1",
"size_MB": 0.04
},
{
"name": "python-dateutil",
"version": "2.9.0.post0",
"size_MB": null
},
{
"name": "pyzmq",
"version": "26.4.0",
"size_MB": 0.04
},
{
"name": "ruff",
"version": "0.11.12",
"size_MB": 0.0
},
{
"name": "six",
"version": "1.17.0",
"size_MB": 0.03
},
{
"name": "stack-data",
"version": "0.6.3",
"size_MB": null
},
{
"name": "tornado",
"version": "6.5.1",
"size_MB": 1.78
},
{
"name": "traitlets",
"version": "5.14.3",
"size_MB": 0.01
},
{
"name": "wcwidth",
"version": "0.2.13",
"size_MB": 0.51
}
]
Developing locally
just install # to install dependencies for depsize
just build # to build depsize
just edit-install # to install an editable build
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