Python library for creating GA4GH testbed reports according to a harmonized, cross-workstream schema
Python library for creating GA4GH testbed reports according to a harmonized, cross-workstream schema
As a prerequisite, please ensure you have Python 3 installed on your machine.
ga4gh-testbed-lib is tested on the following Python versions:
ga4gh-testbed-lib is a library that can be imported into your Python project.
To do so, first install it via pip:
pip install ga4gh-testbed-lib
Note: We recommend using a Python virtual environment when building any Python project to avoid dependency conflicts with other projects on your system.
Once installed, you may import the ga4gh-testbed-lib in your Python modules. We recommend only importing the Report class directly:
from ga4gh.testbed.report.report import Report
...
report = Report()
More documentation to come on how to use the report library
To contribute to the testbed library, you will need to clone the repository:
git clone https://github.com/ga4gh/ga4gh-testbed-lib.git
To run tests, you will need to install test dependencies (i.e. pytest):
pip install -r requirements.txt
Tests can be run via pytest:
python -m pytest --cov
POST requestmessage attribute for capturing test result summary in a single messageFAQs
Python library for creating GA4GH testbed reports according to a harmonized, cross-workstream schema
We found that ga4gh-testbed-lib demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.