# subpar **Repository Path**: mirrors_databricks/subpar ## Basic Information - **Project Name**: subpar - **Description**: Subpar is a utility for creating self-contained python executables. It is designed to work well with Bazel. - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-24 - **Last Updated**: 2025-10-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Subpar [![Build Status](https://travis-ci.org/google/subpar.svg?branch=master)](https://travis-ci.org/google/subpar) Subpar is a utility for creating self-contained python executables. It is designed to work well with [Bazel](https://bazel.build/). ## Status Subpar is currently owned by the maintainers of [bazelbuild/rules_python](https://github.com/bazelbuild/rules_python), which depends on it. It is not being actively developed beyond what is needed to keep compatibility with rules_python. Historically, subpar was the only way to produce a deployable Python artifact in Bazel. This is no longer quite true; `--build_python_zip` allows you to create executable Python zip artifacts with the standard `py_binary` rule. Subpar still supports some use cases `--build_python_zip` doesn't: In particular, it allows you to build archives of specific targets without using a global command-line flag, and in some cases the archives can run in-place without extraction. ## Setup * Add the following to your WORKSPACE file: ```python git_repository( name = "subpar", remote = "https://github.com/google/subpar", tag = "1.0.0", ) ``` * Add the following to the top of any BUILD files that declare `par_binary()` rules: ```python load("@subpar//:subpar.bzl", "par_binary") ``` ## Usage `par_binary()` is a drop-in replacement for `py_binary()` in your BUILD files that also builds a self-contained, single-file executable for the application, with a `.par` file extension. To build the `.par` file associated with a `par_binary(name=myname)` rule, do ``` shell bazel build //my/package:myname.par ``` The .par file is created alongside the python stub and .runfiles directories that py_binary() creates, but is independent of them. It can be copied to other directories or machines, and executed directly without needing the .runfiles directory. The body of the .par file contains all the srcs, deps, and data files listed. ## Limitations: * C extension modules in 'deps' is not yet supported * Automatic re-extraction of '.runfiles' is not yet supported * Does not include a copy of the Python interpreter ('hermetic .par') ## Example Given a `BUILD` file with the following: ```python load("@subpar//:subpar.bzl", "par_binary") par_binary( name = 'foo', srcs = ['foo.py', 'bar.py'], deps = ['//baz:some_py_lib'], data = ['quux.dat'], ) ``` Run the following build command: ``` shell bazel build //package:foo.par ``` This results in the following files being created by bazel build: ``` bazel-bin/ package/ foo foo.par foo.runfiles/ ... ``` The .par file can be copied, moved, or renamed, and still run like a compiled executable file: ``` $ scp bazel-bin/package/foo.par my-other-machine:foo.par $ ssh my-other-machine ./foo.par ``` ## System Requirements * Python Versions: CPython versions 2.7.6+ * Operating Systems: Debian-derived Linux, including Ubuntu and Goobuntu. # DISCLAIMER This is not an official Google product, it is just code that happens to be owned by Google.