Search Results for "data"

...Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc.

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.

Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. 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

ssl_logger is a Python-based tool that decrypts and logs a target process’s SSL/TLS traffic on Linux and macOS. It attaches to a running process by name or PID and hooks SSL_read and SSL_write calls to capture plaintext data flowing through encrypted connections. Output can be streamed to the console with verbose metadata or written to a PCAP file for later analysis in standard tooling. The utility is powered by dynamic instrumentation using the Frida framework, allowing it to intercept function calls without recompiling or modifying the target binary. ...

...The program can perform searches in syslog files like as the UNIX command "grep", but with the addition of some filters and parameters, useful to restrict the search field and retrieve the relevant informations from log files. You could specify parameters like hostname, application, date, time range, plus a set of filters on message data.

The RESPOND-R framework is a modular, distributed data logging framework built for the purpose of studying Emergency Informatics as it relates to human robot performance during disaster responses. Tutorials can be found on the wiki: https://sourceforge.net/p/respondr/wiki/

Use python to parse privoxy log in clf format and refer to wot ratings of the site and then dump the data in a sqlite database for statistics generation later.

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

The EU Provenance project developed an architecture to document a data generating process in a distributed environment. The Python Client Side Library (CSL) enables the development of provenance-aware Python applications.

Upstream is a collection of tools that allow users to send in system specific log and troubleshooting data to support personnel. Furthermore, developers can use Upstream to enhance the scope of their bug/support tracking systems.

YAML (tm) is a straight-forward data serilization language, offering an alternative to XML where markup (named lists and mixed content) are not needed. YAML borrows ideas from rfc822, SAX, C, HTML, Perl, and Python.

Retrieve statistics from SNMP-aware devices, store them in a database and graphically display them for monitoring and notification purposes.

Sarvant (SAR Visual ANalysis Tool) is a python script that will analyze a sar file (from the sysstat utility, 'sar') and produce graphs using gnuplot of the collected data.

A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.