Python Application Analysis

The Python coordinate based matching feature provides the ability to scan and evaluate Python dependencies found in a requirements.txt file.

What is supported

Files named requirements.txt (generated using a pip command) and poetry.lock (Poetry lock files) will be analyzed.

Converting from other formats

A file can be used to generate a requirements.txt file by first installing its packages (e.g. via pip install . ), ideally to a virtual environment, and then running:

  • pip freeze > requirements.txt for Python 2 or
  • pip3 freeze > requirements.txt for Python 3

What do we parse from the file?


Requirements using the "==" operator and version without wildcards will be considered. One requirement could be matched to multiple distributions of the same python package. However using the "sys_platform" marker the dependency might be more specific. For example:

pywin32 ==1.0 ; sys_platform == 'win32'

poetry.lock NEW IN RELEASE 115

Dependencies with name and exact version are required and evaluated. For example:

  • Name: six
  • Version: 1.16.0

And from "metadata.files"

  • Extension: whl
  • Qualifier: py2.py3-none-any

The package dependencies with name and exact version are also evaluated:

  • Name: colorama
  • Version: 0.4.4
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"

colorama = "0.4.4"

lock-version = "1.1"
python-versions = "^3.8"
content-hash = "7ae52da2736b4294be7a184e040cc78412add14e92b816077ede183f9e1c636c"

six = [
    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
colorama = [
    {file = "colorama-0.4.4-py2.py3-none-any.whl", hash = "sha256:9f47eda37229f68eee03b24b9748937c7dc3868f906e8ba69fbcbdd3bc5dc3e2"},
    {file = "colorama-0.4.4.tar.gz", hash = "sha256:5941b2b48a20143d2267e95b1c2a7603ce057ee39fd88e7329b0c292aa16869b"},

Steps to analyze using the Nexus IQ CLI

Create requirements

Run pip freeze

pip freeze > requirements.txt

The requirements.txt encoding is UTF-8.  Special note for Microsoft Windows users, the cmd.exe encoding may need to be changed to UTF-8.  Please refer to Microsoft documentation on how to do this.

Example file content


Add environment markers (optional)

Adding environment markers can simplify the results by filtering out components that are not relevant to your deployment platform. Only the sys_platform environment marker is supported at the moment.   

Add the environment marker next to the component(s) in the requirements.txt.


Django==1.6; sys_platform == 'win32'

Run a scan

Invoke a Nexus IQ CLI scan of the directory containing requirements.txt.  Instructions on how to do this can be found here Nexus IQ CLI.

The output from the Nexus IQ CLI

Nexus Lifecycle Dashboard Results

Nexus Lifecycle Report Results

How to get the best results

To produce the best outcome the following is suggested.

  • Create a requirements.txt file by using "pip freeze > requirements.txt".
  • Using the requirements.txt download the binaries by executing "pipenv run pip download -r requirements.txt -d <output_dir>". 
  • Run a scan on the <output_dir>

Steps to analyze using the Jenkins plugin

By default, the Jenkins plugin will not evaluate the requirements.txt file. A custom Scan Target is needed.

nexusPolicyEvaluation iqApplication: 'SampApp', iqScanPatterns: [[scanPattern: '**/requirements.txt']], iqStage: 'build'

To find more information on how to configure Jenkins please go to the Nexus Platform Plugin for Jenkins.

Steps to analyze using the Bamboo plugin

Bamboo Scan Targets control what files are examined.  To evaluate Python, add requirements.txt to the scan targets via  "**/requirements.txt".  To find more information on how to configure Bamboo please go to the Nexus IQ for Bamboo.