Generated by GPT-5-mini| AWStats | |
|---|---|
| Name | AWStats |
| Developer | Laurent Destailleur |
| Released | 1998 |
| Programming language | Perl |
| Operating system | Unix-like, Microsoft Windows |
| Genre | Web analytics |
| License | GNU GPL |
AWStats
AWStats is a free, open-source web analytics reporting tool originally written in Perl by Laurent Destailleur. It generates graphical and tabular reports from server log files and is used on web servers, proxy servers, and mail servers to produce usage statistics. Popular in shared hosting and enterprise environments, AWStats integrates with a variety of server platforms and complements commercial analytics solutions.
AWStats processes log files produced by servers such as Apache HTTP Server, Nginx, Microsoft Internet Information Services, and Lighttpd to produce visual reports that include visitor counts, page views, and bandwidth usage. It is frequently deployed alongside control panels and hosting platforms like cPanel, Plesk, DirectAdmin, and ISPConfig and interoperates with technologies such as Perl, MySQL, and SQLite for extended storage or integration. Administrators and analysts often compare AWStats to services from Google, Microsoft, and Adobe Systems, while organizations including WordPress, Drupal, Joomla!, Magento, and MediaWiki sites have integrated AWStats for server-side analytics.
AWStats provides detailed metrics including unique visitors, visits, hits, pages, and bandwidth, with breakdowns by country, operating system, browser, and referrer. It recognizes robots and crawlers listed by authorities such as Googlebot, Bingbot (Microsoft), and Baidu Spider (Baidu) and lists search engine keywords from sources like Google Search, Bing, and Yahoo!. The reporting output includes graphs compatible with libraries and tools like GD (software), PNG, and common image formats, and supports scheduled generation via cron (Unix), Windows Task Scheduler, and integration with monitoring systems such as Nagios and Zabbix. AWStats also supports proxy and CDN logs from providers such as Cloudflare, Akamai Technologies, Fastly, and Amazon CloudFront.
Written predominantly in Perl, AWStats parses standard log formats including Common Log Format, Combined Log Format, and extended formats produced by Apache Traffic Server and Squid (software). Its architecture separates log parsing, data storage, and report generation: parsed data is stored in flat files or optionally in databases like MySQL, PostgreSQL, and SQLite for long-term retention and cross-system querying. AWStats can operate in real-time mode via server-side scripts under CGI or as a batch processor invoked by cron (Unix) or systemd timers; it is often embedded into hosting control panels that run on distributions like Debian, Ubuntu, CentOS, and Red Hat Enterprise Linux.
Configuration is managed through site-specific configuration files that define log file locations, hostname aliases, and reporting preferences; administrators may customize appearance and language support for locales such as English, French, Spanish, and Chinese. Custom plugins and modules extend parsing rules for modern user-agent strings and referrers, with community contributions hosted on platforms like GitHub, SourceForge, and GitLab. Theme and template changes modify generated HTML and image components to align with systems like Bootstrap (front-end framework) or static site generators used by Hugo (software), Jekyll, and Pelican (software). Integration with authentication systems such as LDAP and OAuth is possible when AWStats is embedded within larger web applications or dashboards like Grafana and Kibana.
Because AWStats processes raw server logs, deployment requires attention to access controls and data retention policies to comply with laws and regulations including the General Data Protection Regulation and regional privacy statutes. Administrators should secure CGI endpoints and web-accessible reports with authentication provided by Apache HTTP Server modules (e.g., mod_auth_basic), NGINX access controls, or reverse proxies and enforce TLS using Let's Encrypt or certificates from authorities like DigiCert and IETF. Log data may include personal identifiers and should be handled considering standards from organizations such as ISO/IEC and guidance from bodies like the Electronic Frontier Foundation and European Data Protection Board. Regular updates, patching practices aligned with distributions and package managers like APT (software), YUM (package manager), and Homebrew (package manager) mitigate vulnerability exposure.
Development began in 1998 by Laurent Destailleur and has evolved via contributions from a community of developers and hosting providers. The project has seen distribution through repositories and packaging systems maintained by vendors including Debian, Ubuntu, Red Hat, and third-party hosts like Softaculous. Over time AWStats adapted to changes in web practices introduced by companies and projects such as Google, Mozilla Foundation, Apple Inc., and Microsoft which influenced user-agent parsing, and to the rise of CDNs and mobile platforms from Samsung and Huawei. Community forums and mailing lists, alongside code hosting on GitHub and legacy archives on SourceForge, have tracked feature requests and security advisories.
AWStats is widely used by shared hosting providers, educational institutions such as Harvard University and MIT computing sites, government agencies, and small-to-medium enterprises. Alternative analytics solutions include server-side packages and services like Webalizer, GoAccess, Matomo, Google Analytics, Adobe Analytics, and log-processing ecosystems built on Elastic Stack (Elasticsearch, Logstash, Kibana) and Prometheus. Choice among these often depends on privacy requirements, real-time needs, and integration with platforms like WordPress, Shopify, Magento, and enterprise suites from Oracle Corporation and IBM.
Category:Web analytics software