Conda vs. IronPython vs. Mojo vs. Splunk User Behavior Analytics Comparison Chart

IronPython is an open-source implementation of the Python programming language which is tightly integrated with .NET. IronPython can use .NET and Python libraries, and other .NET languages can use Python code just as easily. Experience a more interactive .NET and Python development experience with Python Tools for Visual Studio. IronPython is an excellent addition to .NET, providing Python developers with the power of the .NET. Existing .NET developers can also use IronPython as a fast and expressive scripting language for embedding, testing, or writing a new application from scratch. The CLR is a great platform for creating programming languages, and the DLR makes it all the better for dynamic languages. Also, the .NET (base class library, presentation foundation, etc.) gives developers an amazing amount of functionality and power. IronPython uses Python syntax and standard libraries and so your Python code will need to be updated accordingly.

Securing against unknown threats through user and entity behavior analytics. Discover abnormalities and unknown threats that traditional security tools miss. Automate stitching of hundreds of anomalies into a single threat to simplify a security analyst’s life. Use deep investigative capabilities and powerful behavior baselines on any entity, anomaly or threat. Automate threat detection using machine learning so you can spend more time hunting with higher fidelity behavior-based alerts for quick review and resolution. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types (65+) and threat classifications (25+) across users, accounts, devices and applications. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types and threat classifications (25+) across users, accounts, devices and applications. Organizations gain maximum value to detect and resolve threats and anomalies via the power of human and machine-driven solutions.