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Our Free Plans just got better! | Auth0
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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
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.
Incredable is the first DLT-secured platform that allows you to save time, eliminate errors, and ensure your organization is compliant all in one place.
For healthcare Providers and Facilities
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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.