The full-stack observability platform that protects your dataLayer, tags and conversion data
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The AI workplace management platform
Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
Easier logging and tracing of Python functions and class methods.
...Autologging provides two decorators and a custom log level:
"autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName").
"autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default)
"autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
yalimon (Yet another linux monitoring tool) is a python script that runs as a cron job, gathers data from several commands, stores it in a database and then creates graphs out of it. A web interface is used to view the images and to manage the module
Iris Powered By Generali - Iris puts your customer in control of their identity.
Increase customer and employee retention by offering Onwatch identity protection today.
Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.
A wrapper for Python's standard logging module to provide a file-like interface. Allows legacy code that wishes to log to a file (including stdout and stderr) to use the logger facility.
Module to allow for reading lines from a continuously-growing file (such as a system log). Handles log files that get rotated/trucated out from under us. Inspired by the Perl File::Tail module.