Wheelhouse Packer offline install bundles
Deploying Python applications into air-gapped, isolated, or regulated enterprise environments often fails when target infrastructure lacks direct internet connectivity to PyPI.
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requirements.txt — list of dependencies
What's in the ZIP
- Python source, README and requirements
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More details
Deploying Python applications into air-gapped, isolated, or regulated enterprise environments often fails when target infrastructure lacks direct internet connectivity to PyPI. Developers struggle with missing dependencies, unexpected native C compilation requirements during deployment, and the strict need to satisfy security compliance auditors with verified artifact hashes. The tool downloads targeted wheels for specific Python versions, platforms, ABIs, and implementations using standard pip mechanics without external runtime dependencies. It computes streaming SHA-256 cryptographic digests for every downloaded artifact to produce hash-pinned requirements files and structured JSON manifests. It scans filenames to detect source distributions that require compilation, and it generates hardened shell and batch scripts for automated offline installation. Example: Run python3 wheelhouse_packer_offline_inst.py --help to inspect all packaging and target architecture options. Run python3 wheelhouse_packer_offline_inst.py -r requirements.txt --python-version 311 --platform manylinux2014_x86_64 --only-binary --verbose to generate an audited offline bundle for Linux hosts. Run python3 wheelhouse_packer_offline_inst.py requests certifi --dry-run to display the constructed pip download command without writing files to disk. This tool does not compile native C extensions into wheels or provide missing host operating system compilers.
Quick Start
Runs on Python 3.9 or newer. Check requirements.txt in the ZIP and install what it lists with pip install -r requirements.txt.
1 — Install the dependencies
pip install -r requirements.txt2 — Run it
How agents & programs use it: Install its requirements in a virtual environment; scripts and AI agents can then run it as a subprocess.
Why developers buy from PyForge
- Save hours: ready-made, tested tools. Skip writing, debugging and maintaining it yourself.
- Ready in minutes: one file, drop it in your project and run it.
- Zero dependencies: no pip install chains, no supply-chain risk.
- Full source code: readable, auditable, yours to modify.
- Runs locally and offline: no account, no API key, no data leaves your machine.
- Pay once, own it: no subscription.
- Tested before release: every tool is checked before it goes on sale.
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