freeze-core

Core dependency for cx_Freeze.

Installation

Choose the Python package manager according to your system. See how the installation works with the most common ones, which are pip and conda.

To install the latest version of freeze-core into a virtual environment:

uv pip install --upgrade freeze-core

If using pip:

pip install --upgrade freeze-core

From the conda-forge channel:

conda install conda-forge::freeze-core

[!WARNING] It is not recommended to use pip in conda environment. See why in Using Pip in a Conda Environment.

To install the latest development build:

uv pip uninstall freeze-core
uv pip install --extra-index-url https://test.pypi.org/simple/ freeze-core --prerelease=allow --index-strategy=unsafe-best-match

If using pip:

pip uninstall freeze-core
pip install --extra-index-url https://test.pypi.org/simple/ freeze-core --pre --no-cache

Development

freeze-core is a volunteer-maintained open source project, and we welcome contributions of all forms. The sections below will help you get started with development and testing. We’re pleased that you are interested in working on freeze-core and/or cx_Freeze. This document is meant to get you set up to work on freeze-core and to act as a guide and reference to the development setup. If you face any issues during this process, please open an issue about it on the issue tracker.

The source code can be found on Github.

You can use git to clone the repository:

git clone https://github.com/marcelotduarte/freeze-core
cd freeze-core
make install

If you don't have make installed, run:

python -m pip install --upgrade pip
pip install -e.[dev,tests]
prek install --install-hooks --overwrite -t pre-commit

Building redistributable binary wheels

When python -m build or pip wheel is used to build a freeze-core wheel, that wheel will rely on external shared libraries. Such wheels therefore will only run on the system on which they are built. See Building and installing or uploading artifacts for more context on that.

A wheel like that is therefore an intermediate stage to producing a binary that can be distributed. That final binary may be a wheel - in that case, run auditwheel (Linux) or delocate (macOS) to vendor the required shared libraries into the wheel.

To reach this, freeze-core binary wheels are built using cibuildwheel, via the following command:

make wheel

To run a Linux build on your development machine, Docker or Podman should be installed.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

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freeze-core 0.7.1

freeze-core

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Algorithm	Hash digest
SHA256	`d7b4cbb703601e0b3217938b622868734b653dd20bfce4f57b66fe967893870d`
MD5	`081fe128bf67cc44651590e7ab396d28`
BLAKE2b-256	`b4c08b1e0ac597d29139959ab112fb3912286cae903a55e87e4aab3c6ea94271`

Algorithm	Hash digest
SHA256	`fa01098e580036acaab0d89264b1d96f8cadce39fdfe5f9641644a762b674286`
MD5	`efa654bb491674113683dd093f2f6738`
BLAKE2b-256	`a471d761148fe5efb07f6d03394827265fd76866fa565e011216be175bc92c7a`

Algorithm	Hash digest
SHA256	`081af7913ff172af0435c4f11e02777d5e68796bb10cdeb4f7222c8c306d28ac`
MD5	`2dc36c9617622de33a091b11e0d05566`
BLAKE2b-256	`96bb83bc4d52a2ae7799d9d888b4439f4977168532d7eecd21a7ad3f5dafb4f9`

Algorithm	Hash digest
SHA256	`7c6e7aa8de58b365e665cbb60a79a2c4a54015197f78c5f2402e6cd5692f7ad7`
MD5	`67adb555ed2d07fbe7a309cf4e129638`
BLAKE2b-256	`112ae7dce8df913fe912d0cf3c3fbb17c224747f5f2480da66960f57cf442d46`

Algorithm	Hash digest
SHA256	`c497b6d36df388b5a7738eec55125d683d8f870d691c3cdc54ad45ccc40d28e7`
MD5	`d48e0f7a0c811431165acbef3d7bfdca`
BLAKE2b-256	`edaedccc4927a4f5cf206fe32bbd2fa7859f4c1e40bed2fe7864de1d624ab0ae`

Algorithm	Hash digest
SHA256	`d09f108629fb8944ebb109981c594d4b7089cc83e76bb3fb9869febaa689ef98`
MD5	`ca24d2d55ddb3b890cd0ba2aa4fbd44a`
BLAKE2b-256	`5ba7e45c12c44df8cc73f2adb7fefe9072855d7aa17ea9f29b4b697dc62a9580`

Algorithm	Hash digest
SHA256	`ceaeaf3853f17122288180f724a6bd36615e43f5789867b827f3f43b23525405`
MD5	`5e10ed641fcbb5faabe7bcd2f6ba6842`
BLAKE2b-256	`f9955011b357f933c9b36d399723b5c925f09a22d60667d19f196e5d00c00073`

Algorithm	Hash digest
SHA256	`8fdc599598f2de8f3d87d06b946e301fa1fafa1ac193a8bfeaff9b233a5cf0c9`
MD5	`1da779564cee38de3b866bcbac155dc1`
BLAKE2b-256	`1866b752845d21d5b843a8d82b421a25d8689edb485aa7cc5146d0a6fe998e4f`

Algorithm	Hash digest
SHA256	`f6f0950b2ed9989f7785070692a4e52281bfbc347f1e99f53b38b80ae3a39136`
MD5	`c30309b8798026eef5647da256528424`
BLAKE2b-256	`1589d3edb786cb5be408775c95c01902dbb17524747b5440174876b1e6aaf681`

Algorithm	Hash digest
SHA256	`52b0a37dceb4362c31ab56b23621c3a397f078fb21733778a16b01ef122a8f3b`
MD5	`cb71cf71fc2cd8301dd31e7ef289ee15`
BLAKE2b-256	`710e358f035656455e56df26a04292ec9c2c0475314273640c41929de727f6f6`