The SBOM4Python is a free, open source tool to generate a SBOM (Software Bill of Materials) for an installed Python module in a number of formats including SPDX and CycloneDX. It identifies all of the dependent components which are explicity defined (typically via requirements.txt file) or implicitly as a hidden dependency.
It is intended to be used as part of a continuous integration system to enable accurate records of SBOMs to be maintained and also to support subsequent audit needs to determine if a particular component (and version) has been used.
To install use the following command:
pip install sbom4python
Alternatively, just clone the repo and install dependencies using the following command:
pip install -U -r requirements.txt
The tool requires Python 3 (3.7+). It is recommended to use a virtual python environment especially
if you are using different versions of python. virtualenv is a tool for setting up virtual python environments which
allows you to have all the dependencies for the tool set up in a single environment, or have different environments set
up for testing using different versions of Python.
When running on Windows, if you get the following error
ImportError: failed to find libmagic. Check your installation
This is because of a mismatch with the installation of the magic library. To resolve, please issue the following commands
pip uninstall python-magic
pip uninstall python-magic-bin
pip install python-magic
pip install python-magic-binusage: sbom4python [-h] [-m MODULE] [--exclude-license] [--include-file] [-d]
[--sbom {spdx,cyclonedx}] [--format {tag,json,yaml}]
[-o OUTPUT_FILE] [-g GRAPH] [-V]
optional arguments:
-h, --help show this help message and exit
-V, --version show program's version number and exit
Input:
-m MODULE, --module MODULE
identity of python module
--exclude-license suppress detecting the license of components
--include-file include reporting files associated with module
Output:
-d, --debug add debug information
--sbom {spdx,cyclonedx}
specify type of software bill of materials (sbom) to
generate (default: spdx)
--format {tag,json,yaml}
specify format of software bill of materials (sbom) (default: tag)
-o OUTPUT_FILE, --output-file OUTPUT_FILE
output filename (default: output to stdout)
-g GRAPH, --graph GRAPH
filename for dependency graphThe --module option is used to identify the Python module.
The --sbom option is used to specify the format of the generated SBOM (the default is SPDX). The --format option
can be used to specify the formatting of the SBOM (the default is Tag Value format for a SPDX SBOM). JSON format is supported for both
SPDX and CycloneDX SBOMs).
The --output-file option is used to control the destination of the output generated by the tool. The
default is to report to the console but can be stored in a file (specified using --output-file option).
The tool attempts to determine the license of each module. This can be suppressed using the --exclude-license option in
which case all licences are reported as 'NOASSERTION'.
The tool can optionally include the files associated with the installed module. This can be specified using the --include-file option. As the filenames are
relative to the directory in which the tool is invoked, it is recommended that the tool is launched in a directory where the source files are available.
The --graph option is used to generate a dependency graph of the components within the SBOM. The format of the graph
file is compatible with the DOT language used by the
GraphViz application.
Licenced under the Apache 2.0 Licence.
The tool uses a local copy of the SPDX Licenses List which is released under Creative Commons Attribution 3.0 (CC-BY-3.0).
This tool is meant to support software development and security audit functions. However the usefulness of the tool is dependent on the SBOM data which is provided to the tool. Unfortunately, the tool is unable to determine the validity or completeness of such a SBOM file; users of the tool are therefore reminded that they should assert the quality of any data which is provided to the tool.
When processing and validating licenses, the application will use a set of synonyms to attempt to map some license identifiers to the correct SPDX License Identifiers. However, the user of the tool is reminded that they should assert the quality of any data which is provided by the tool particularly where the license identifier has been modified.
Whilst PURL and CPE references are automatically generated for each Python module, the accuracy of such references cannot be guaranteed as they are dependent on the validity of the data associated with the Python module.
Bugs and feature requests can be made via GitHub Issues.
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