Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
Open source tooling that helps data scientists working with Pega AI to analyze Pega decisioning and modeling performance.
We release this under the Apache 2.0 license and welcome contributing back, preferably through pull requests, but just submitting an Issue or sending a note to the authors is fine too. Pega does not make any representation or warranty with respect to this free software.
The tools help to do analysis on Pega decisioning and predictive analytics as used in solutions such as Customer Decision Hub or Process AI, pull data from the platform, easily build meaningful plots and more. There is a pip-installable Python package, notebooks and other scripts. See the Graph Gallery for a sample of the graphs you can build to help get insights from the platform or jump right into the examples, and browse the examples folder.
For instructions and information, see the Pega Data Scientist Tools Wiki page. For further examples and the API reference, see the Documentation.
We love feedback. If you have interesting analysis plots you would like to share, we are very interested in incoporating them. If you developed tools or library functions that may be of interest to others, consider sending us a pull request. See Contributing for guidelines.
FAQs
Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
We found that pdstools demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 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.
