CVXOPT vs. IronPython vs. Splunk User Behavior Analytics vs. tox Comparison Chart

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.

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.