Open Source Log Analysis Software
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Log Analysis Software
View 89 business solutionsBrowse free open source Log Analysis software and projects below. Use the toggles on the left to filter open source Log Analysis software by OS, license, language, programming language, and project status.
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Red Hat Enterprise Linux on Microsoft AzureRed Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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User Testing Platform | TesteumTired of bugs and poor UX going unnoticed despite thorough internal testing? Testeum is the SaaS crowdtesting platform that connects mobile and web app creators with carefully selected testers based on your criteria.
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Shorten your time of reading mega bytes of log files! DE 2016-01 Supporting Don HO's NotePad++ see http://notepad-plus-plus.org/ This sources are a dockable pattern search plugin for Notepad++ version 5.1 or later. With this plugin you can search for multiple patterns in any of the opened documents in NotePad++. You may want to tune your search using all fancy tricks from NPP like regular expressions or escaped patterns and give each of the searches different colors. The result will be stored in a dockable window in same ordering as in the origin and a double click allows you to jump to the original position. It is designed to treat log-files of typical size like 60MB. More features can be found in the help dialogue of the plugin. For generating the dll file I use a msdev compiler. If you like to port it to other OSs just let me know your changes and I'll incorporate it. Best Regards, Mattes H.
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AWStats
AWStats Log Analyzer
AWStats is a free powerful and featureful server logfile analyzer that shows you all your Web/Mail/FTP statistics including visits, unique visitors, pages, hits, rush hours, os, browsers, search engines, keywords, robots visits, broken links and more -
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Visual Syslog Server for Windows
Free Syslog Server for Windows with a graphical user interface
Visual Syslog Server for Windows is a free open source program to receive and view syslog messages. Useful when setting up routers and systems based on Unix/Linux. Visual Syslog Server for Windows has a live messages view: switches to a new received message. Helpful color highlighting. Useful message filtering. Customizable notification and actions. Sources hosted on the GitHub: https://github.com/MaxBelkov/visualsyslog -
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Sarg - Squid Analysis Report Generator is a tool that allow you to view "where" your users are going to on the Internet. Sarg generate HTML reports, with informations about users, IP Addresses, bytes, sites and times.
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The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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AlienVault OSSIM
Open Source SIEM
OSSIM, AlienVault’s Open Source Security Information and Event Management (SIEM) product, provides event collection, normalization and correlation. For more advanced functionality, AlienVault Unified Security Management (USM) builds on OSSIM with these additional capabilities: * Log management * Advanced threat detection with a continuously updated library of pre-built correlation rules * Actionable threat intelligence updates from AlienVault Labs Security Research Team * Rich analytics dashboards and data visualization -
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LightSquid is a LIGHT and FAST, web based squid proxy traffic analyser . analize access.log and generate per-user & per group report.
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DenyHosts is a python program that automatically blocks ssh attacks by adding entries to /etc/hosts.deny. DenyHosts will also inform Linux administrators about offending hosts, attacked users and suspicious logins. This project is being actively developed on GitHub (https://github.com/denyhosts)
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HoneyVIew ist a tool to analyze honeyd-logfiles of the honeyd-daemon implemented by Niels Provos in an convenient way. HoneyView generates graphical and textual results from queries against the logfile data.
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Screen Squid
Log analyser for Squid access.log
Screen squid is web-based interface for viewing reports based on Squid proxy server log files. It can be accessed from web-browser through more than 50 reports. No extra files, only DB. All reports generated "on-the-fly". And we got personal cabinet for each user/group. -
Top-Rated Free CRM SoftwareHubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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SSHGuard
Intelligently block brute-force attacks by aggregating system logs
SSHGuard protects hosts from brute-force attacks against SSH and other services. It aggregates system logs and blocks repeat offenders using several firewall backends, including iptables, ipfw, and pf. -
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ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
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[ set status to abandon - volunteers welcome ] The postfix-logwatch / amavis-logwatch log analyzers produce summaries, reports and statistics regarding the operation of postfix and amavis. Use standalone, or as a filter module for the open source logwatch utility.
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Squid Analyzer parses Squid proxy access log and reports general statistics about hits, bytes, users, networks, top URLs, and top second level domains. Statistic reports are oriented toward user and bandwidth control.
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AutoIndex is a PHP script that makes a table that lists the files in a directory, and lets users access the files and subdirectories. It includes searching, icons for each file type, an admin panel, uploads, access logging, file descriptions, and more.
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swatchdog.pl started out as swatch, the "simple watchdog" for activity monitoring log files produced by UNIX's syslog facility. It has since been evolving into a utility that can monitor just about any type of log. The name has been changed to satisfy a request made by the old Swiss watch company.
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dhcpd-pools
ISC dhcpd leases usage analysis
This is dhcpd-pools ISC dhcp shared network and pool range usage analysis. Purpose of command is to count usage ratio of each IP range and shared network pool which ISC dhcpd is in control of. Users of the command are most likely ISPs and other organizations that have large IP space. Program is written C. Design goal is to get analysis done quickly where there is lots of data. On cheap laptop the speed of analysis is roughly 100k leases per second. Number of ranges, or shared networks, does not make any significant difference in getting analysis done. -
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BigBrotherBot (B3) is a cross-platform, cross-game game administration bot. Features in-game administration of game servers, multiple user access levels, and database storage. Currently include parsers for: Call of Duty, Urban Terror and more!
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Pimped Apache Server Status
Enhanced Apache Server Status page - for one or multiple servers
The pimped Apache status makes the Apache server status readable, sortable and searchable. The pimped Apache status can merge the status of several servers that opens the possibility to identify the troubleshooter even in a loadbalanced website. The webbased tool offers a multilanguage, skinable interface with a built-in updater. In several views you see most requested pages, vhosts, used methods, IPs that make the most requests and more. All views are sortable tables you can filter by a keyword and are available as API Request too to get its data as CSV, XML or JSON. Compatible with PHP 7+8 (and should run on PHP 5.x - but is not supported). -
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Sendmail log Analyzer is a tool to monitor sendmail usage and generate HTML and graph reports. It reports all you ever wanted to know about email trafic on your network. You can also use it in ISP environment with per domain and per mailbox report.
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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. Filtering and enrichment to optimize security and minimize cost. The lightweight, asynchronous design optimizes resource usage: CPU, memory, disk I/O, network. No more OOM errors! Integration with all your technology, cloud-native services, containers, streaming processors, and data backends. Fully event-driven design leverages the operating system API for performance and reliability. All operations to collect and deliver data are asynchronous. -
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Free-SA
Free-SA is report generating tool for web, proxy and mail log files
Free-SA is logs processor and report generating tool. It can be used to control traffic usage, to evaluate conformance to the Internet access security policies, to investigate security incidents, to evaluate web server efficiency and to detect troubles with server configuration. -
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The goal of PyTables is to enable the end user to efficiently and easily manipulate large datasets (both homogenous, i.e. arrays, and heterogenous, i.e. tables) on a persistent, hierarchical way.
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Simple Event Correlator (SEC) is a lightweight event correlator for network management, log file monitoring, security management, fraud detection, and other tasks which involve event correlation.
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Octopussy: Log Management Solution
Log Management Solution
Logs Analyzer, Alerter & Reporter with a Web Interface
Open Source Log Analysis Software Guide
Open source log analysis software is software that is released under an open source license and allows users to analyze their computer's system or application logs without having to pay a fee. It generally provides detailed information about events that occur on the system, such as which applications are running and what type of hardware is being used. This type of software can be used for troubleshooting systems, monitoring networks, identifying suspicious activity, and much more.
One of the main advantages of using open source log analysis software is that it can be easily customized to fit the specific needs of each user. Different organizations may require different types of details for specific activities that need to be monitored or analyzed; open source log analysis software offers flexibility in terms of customization and scalability depending on what kind of data needs to be examined. Additionally, because it does not require payment for use – and many times there are no additional setup costs associated with it – open source log analysis software can be very cost effective.
Moreover, since this type of software can generally be found in a variety of languages, anyone from any part of the world can use it without worry or difficulty. Open source log analysis programs often come with an extensive set of features so users have access to powerful analytics capabilities without having to download or install any additional products onto their systems; some popular features include error tracking, real-time event notifications, automatic scheduling functions, intelligent pattern recognition algorithms and time-series charts.
Furthermore, many open-source projects also offer community support forums where developers and other users alike can interact with each other so they're able to get help when needed while also staying informed about updates or changes made within the program itself. This level of collaboration tends to lead toward greater success as everyone involved has a vested interest in seeing improvements happen quickly along with bug fixes if any arise from incorrect programming logic during development stages before all those changes get published officially out into the public domain for general consumption by interested parties both near and far away.
Open Source Log Analysis Software Features
- Log Parsing: Open source log analysis software often provides powerful parsing capabilities, allowing users to extract key values from log files and convert them into a (more) structured format. This feature makes it easier to analyze the data more effectively.
- Reporting and Visualization: Many open source log analysis software packages come with reporting tools that take advantage of the structured data created by parsing. These reporting tools can help generate pie charts, bar graphs, or other visualizations of the log data in order to better understand what’s occurring behind the scenes.
- Customization: Open-source software allows developers to customize their solutions as needed for specific use cases; this may include adding additional fields/parameters for tracking, or integrating third-party services for a more comprehensive view of logs.
- Alerts and Notifications: Advanced open source log analysis software should provide alerts when certain conditions are met in the logs; these might be warning an administrator of suspicious activity such as unusually high levels of access attempts on a particular server port or application endpoint. Notifications may also be triggered when performance thresholds are met or exceeded so that administrators can take action quickly in case of emergency before an incident becomes serious.
- Scalability and Clustering:An effective open source solution should offer features that allow users to scale up their log collection and analyse capabilities easily, without sacrificing performance. It should also provide clustering options so that it is able to handle large volumes of data with ease.
Types of Open Source Log Analysis Software
- Log Parser: This type of software is used to parse and analyze machine-generated log files. It can be used to search and extract information from large data sets, including text-based logs such as web server logs and application logs.
- Real Time Analysis Tools: This type of software aggregates log events in real time, analyzing them for anomalies and suspicious activity. These tools typically provide graphical views of the log data, allowing users to identify trends or correlations that could signal a security issue.
- Log Aggregators: This type of software collects logs from multiple sources and stores them in one central location. This allows for more efficient analysis, since all the data can be examined together instead of having to examine each source separately.
- Security Information and Event Management (SIEM) Software: SIEM solutions combine log aggregation with alerting capabilities and rule-based analytics. They enable users to detect potential threats quickly by correlating event data across multiple sources and comparing it against predetermined baselines or thresholds.
- Correlation Engines: Correlation engines are used to detect patterns in complex datasets that would otherwise go unnoticed by human observers. By analyzing multiple streams of log events simultaneously, correlation engines can help organizations identify unusual behavior faster than manual analysis methods allow for.
Advantages of Open Source Log Analysis Software
- Cost: Open source log analysis software is often free to use, meaning businesses can save on costs associated with the maintenance and purchase of proprietary software.
- Flexibility: Many open source log analysis softwares are highly configurable, allowing users to customize their experience. This helps increase efficiency by eliminating tedious and unnecessary steps in analyzing logs.
- Reliability: As open source software is created by a community of developers, it undergoes rigorous testing and scrutiny which ensures its reliability for businesses.
- Security: Open source software is more secure than proprietary solutions as its code has been reviewed from multiple sources and there are no “backdoors” that could be used to access sensitive information without authorization.
- Scalability: Open source log analysis tools provide businesses with greater scalability as they can quickly be adapted to accommodate larger data sets or expanding systems.
- Collaboration: Developers have the ability to collaborate with each other via open-source projects, allowing for a more expansive pool of knowledge and skillsets leading to improved designs, increased functionality and faster problem solving.
Types of Users That Use Open Source Log Analysis Software
- System Administrator: System administrators are responsible for maintaining system log files and analyzing them to identify any irregularities or malfunctions. They use open source log analysis software to quickly detect problems, such as an intrusion from a malicious party, a program crash, or other technical issues.
- Developer: Developers use open source log analysis software to better understand how their applications interact with the underlying systems. This helps them identify errors and optimize the performance of their programs over time.
- Security Analyst: Security analysts use open source log analysis tools to monitor systems for potential security threats. By identifying patterns in system logs, they can quickly spot intrusions before they cause serious damage or losses.
- Data Scientist: Data scientists utilize open-source log analysis tools to uncover trends and insights from large sets of logs data. Through detailed analytics, they can gain valuable understanding into user behavior on various platforms and improve product development strategies accordingly.
- DevOps Engineer: DevOps engineers rely on open source log analysis software for failure tracking, debugging, real-time monitoring and more. With this information at hand, they can swiftly fix any glitches or bugs that arise during operations in order to keep the system up and running smoothly.
How Much Does Open Source Log Analysis Software Cost?
Open source log analysis software is typically available to users at no cost. This means that the source code is made freely available, and anyone can view, modify, and use it for any purpose. The only costs associated with using an open source log analysis tool are the time and resources required for implementation. Depending on the size of your system and the complexity of your requirements, this may involve investing in hardware or software licenses, although many free solutions exist. Additionally, you may want to hire external consultants or developers to assist in implementing specific features or creating custom plug-ins if you don't have technical resources in-house. Therefore, while there may be some initial outlay depending on how advanced your needs are, open source log analysis software won’t cost anything up front.
What Software Does Open Source Log Analysis Software Integrate With?
Open source log analysis software can integrate with many different types of software. Some examples include web server logs, system monitoring, and performance metrics software. Logs from popular web servers like Apache and Nginx can be ingested by the open source tool to provide valuable insights into website traffic patterns and user behavior. Additionally, system monitoring tools such as Nagios or Zabbix can be used in conjunction with log analysis tools to alert administrators when certain performance thresholds are exceeded, allowing them to take corrective measures before a problem escalates. Finally, metrics applications such as Graphite and Grafana provide visualizations of key performance metrics that complement the raw data provided by log analysis tools, helping admins quickly identify trends or anomalies in their systems.
Trends Related to Open Source Log Analysis Software
- Increased Efficiency: Open source log analysis software offers a more efficient way to analyze application and system logs. By using open source log analysis software, companies can quickly identify problems and take corrective measures in a timely manner.
- Cost Effectiveness: Since open source log analysis software is available for free, companies don’t have to pay for expensive commercial solutions. This makes open source software an attractive option for organizations that want to keep their costs low.
- Flexibility: Open source log analysis software is highly configurable and flexible, allowing companies to customize the software according to their specific needs. Companies can customize the software to meet their specific requirements and use it the way they want.
- Advanced Features: Open source log analysis software is often packed with advanced features such as data visualization, pattern recognition, machine-learning algorithms, and more. These features make it easier for companies to analyze data and uncover insights quickly and accurately.
- Scalability: Open source log analysis software is designed to scale easily as data volumes increase. Companies can add additional nodes or increase computing power without having to purchase additional licenses or hardware.
- Security: Open source solutions are typically more secure than proprietary solutions due to their community-driven development model. The open nature of the code allows anyone to audit the code and find any potential security vulnerabilities before they are exploited.
How Users Can Get Started With Open Source Log Analysis Software
Getting started with open source log analysis software is a great way to understand how your system works and what issues might be causing problems. Here are some steps you can take to get started:
- Choose an Open Source Log Analysis Software – There are a variety of open source log analysis software options available, so it’s important to do your research to find one that meets your needs. Consider factors like cost, features, compatibility with other applications you use, and user reviews when choosing the right software for you.
- Install the Software – Once you’ve chosen a suitable log analysis tool, follow the installation instructions provided by the developer or readme file included in the package. This typically involves downloading the necessary files and running an install script or executable.
- Configure Settings – Depending on which software you select, additional configuration may be required in order for it to properly analyze your logs as expected. Common configurations include setting up scaling rules, data sources and gathering points where applicable to collect logs from different systems for analysis purposes. Check out specific guides for configuring settings related to any particular tool you choose prior to using it for production use cases.
- Run Queries – Before running any queries on real-world data with your chosen open source log analyzing tool, it helps if you learn about back-end database technologies used (such as Elasticsearch or MongoDB), how language conventions work (such as Structured Query Language) and even scripting language basics such as Python or Ruby but this isn't necessary; most tools have easy-to-use interfaces that require no coding knowledge whatsoever!
- Test Queries - After running some queries against test data sets/logs of interest generated by yourself or others online, make sure they're producing results as intended before putting them into full production use cases against massive amounts of actual audit trail information within real world environments!
- Monitor Log Analytics Dashboards - After all setup tasks are completed successfully and desired results achieved via familiarization based practice runs against synthetic dummy datasets & post-testing verifications done efficiently across multiple cycles of 'startup' debug scenarios; monitor active dashboards accordingly during normal operations over time periods specified within algorithms capable enough towards easily noticeable basic visible graphical representations & corresponding metrics utilized inside analytics / statistics related fields applied primarily here; showing quite effectively performance metrics history per individual target/system/application over useful intervals established through various means considered best suitable according complex logical network taken into account overall!