ActiveState Platform Demo: Monitor Risk in your Open Source Code
Watch a 2-minute demo that shows how you can identify the risk level of a Python application, as well as understand the length of time the application has been at risk of being compromised.
Monitor and track the security and compliance of code generated in Jupyter Notebooks. Identify vulnerabilities, outdated code, poorly licensed libraries and more. Watch the short demo.
We overview common methods of working with complex dependency trees in Python in this excerpt from our webinar: Managing Dependencies & Runtime Security.
ActiveState Platform Demo: Python Bill of Materials
By instrumenting your Python application, any stakeholder in your development process can log into the ActiveState platform to gain a “Bill of Materials” view of all the packages in your Python applications.
Get a short demo of our agentless python runtime security solution that allows you to ensure security at runtime, minimize attack surface, profile risk and more. Watch demo.
This year, the Python community has welcomed pipenv as an improved way to create virtual environments, especially when it comes to dependency management. Watch the demo.