Search Results for "python data analysis"
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48 projects for "python data analysis" with 2 filters applied:
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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Logbook
An extensible Java library for HTTP request and response logging
Logbook is an extensible Java library to enable complete request and response logging for different client- and server-side technologies. It satisfies a special need by a) allowing web application developers to log any HTTP traffic that an application receives or sends b) in a way that makes it easy to persist and analyze it later. This can be useful for traditional log analysis, meeting audit requirements or investigating individual historic traffic issues. Logbook is ready to use out of... -
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Cinemagoer
Python package to retrieve and manage data of the IMDb
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. -
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Project's goal is to create better tools for diagnosing Linux systems. Diagnostics include first failure data capture, error log analysis, preventative testing, and system inventory gathering. You can now find Power System specific packages on github. libservicelog : https://github.com/power-ras/libservicelog servicelog : https://github.com/power-ras/servicelog lsvpd : https://github.com/power-ras/lsvpd libvpd : https://github.com/power-ras/libvpd ppc64-diag : https://github.com/power-ras/ppc64-diag sysfsutils is moved to github. ...
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Autologging
Easier logging and tracing of Python functions and class methods.
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 -
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This RRDTool Framework provides a central HTTP-based service for import into standard RRD DBs and graph generation. A lightweight, easily extendable agent for the data sources is pushing updates with minimal resource consumption on the master service.
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PyLogAnalyser
A Python multiplatform tool to filter, colorise and analyse logs
...These rules permit to detect an input line according to a regular expression (regex) or line number range, filter it, pass it, colorise in foreground and background, columnise the groups of the regex and enable or disable the rule. The final goal of this tool is to ameliorate reading long and difficult b/w logs, speed up the analysis and enhance day to day wearying activities. As common application, you can colorise adb logcat logs taking the example files and using them (and also, filter unnecessary lines). You can INSTALL it from PyPI: $ python -m pip install pyloganalyser -
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Plinko was originally an experiment with Prefix Trees and log parsing. The general concept is to have a single end point you can send any data to, in a "fire and forget" fashion. Plinko should identify and parse the data completely without the sending system caring what it sent. The latest version supports named fields in the STL files for tagging data parsed in the Prefix Tree and anonymous functions for parsing dynamic message payloads. We now output JSON objects and I'm working on HBase...
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SquidCube
Squid log data warehouse
Feed Squid logs into PostgreSQL database, then use Pentaho BI server for data mining. -
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Honeyd2MySQL
Utility to move honeyd.log entries to a MySQL database.
This is yet another simple piece of software that extracts all the basic stats from honeyd’s text-based log files and inserts them in a MySQL database. Then you can run some queries and of course visualize the data if you want to. Many things are hardcoded or dead simple, but it does the job. The file is a modified version of “honeyd_importer” perl script originally writen by Joshua Gimer and shared through “honeypots” mailing list. -
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BroadData
Integrated to system status data based on the HDFS
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LOGalyze CLI
Command line client interface for LOGalyze 4
Command line LOGalyze client. logalyze-cli is a powerful command line client for managing LOGalyze engine. With LOGalyze application log analyzer, you can collect your log data from any device, analyze, normalize and parse them. -
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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.
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PerfParse. Storage and analysis of binary performance data produced by Nagios. High quality accurate graphs of live data from standard Nagios plugins. Permanent history of plugin results with advanced analysis tools.
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Mindtree Insight
Log file parser and viewer
Insight, the analysis TechTool for developers is a platform independent tool for viewing & analying run time meta data of applications. It aids in trouble shooting problems, and aids the developer in every day work through very advanced log analysis. -
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...Application/middleware usage monitoring/reporting. Focus on business transactions/use cases to help communicate with users. Small footprint, easy to use GUI and a level of statistical analysis to summarise the data.
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Kojoney is an easy of use, secure, robust and powerfull Honeypot for the SSH Service written in Python. With the kojoney daemon are distributeds other tools such as kip2country (IP to Country) and kojreport, a tool to generate reports from the log fi
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The ProM Import Framework allows to extract process enactment event logs from a set of information systems. These can be exported in the MXML format, which is the standard event log data format for Process Mining analysis techniques.
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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.
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Logpp is a tool for preprocessing event logs and feeding relevant data to other programs for storing or in-depth analysis. Logpp reads lines appended to input files, matches the lines with patterns, and writes the results to given destinations.
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Nuhe is a log monitoring system, which is capable of alarm generation and action when rules are matched against log(s) activity.
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Nuhe Client is a project related to the Nuhe Action Capable Log Monitor. This GUI client simplifies the administration of sensors and node managers, making it easier to control and monitor the network. Comes with a rule editor as well as a log monitor.
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PyIDS is an intrusion detection system whose aim is to provide concise information to administrators about some parts of the system i.e filesystem checksums, unknown connections to the machine, access control lists of special files, log revision...
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py-rrdtool is a Python module provides an interface to RRDTool, the well known graphing/logging tool.
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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.
