Search Results for "apache log viewer"
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Showing 6 open source projects for "apache log viewer"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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apache-logs-to-mysql
Apache Log Parser and Data Normalization Application
...Database system designed to accommodate unlimited domains. Step-by-step guide for easy installation. Web interface with Drill Down Capability and apache/echarts Log Visualization integration in development. MySQL apache_logs schema currently has 49 Tables, 853 Columns, 168 Indexes, 66 Views, 7 Stored Procedures and 43 Functions to process Apache Access log in 4 formats & Apache Error log in 2 formats. Database normalization at work! -
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Exchange Server SMTP Logs Viewer
Read Exchange Server SMTP Send and Receive Logs
The Exchange Server SMTP Log Viewer is a graphical tool developed using Python. It is designed to help system administrators and developers analyze SMTP server logs efficiently. -
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PynDora
Python WebServer Log File Analyzer
This is a web log file analyzer we are making using python. First the IIS parsing engine wil be built and then Apache and possibly other servers. It is going to support multiple log files from any date and output the statistics in html formatted files, incorporating automatically build charts. It will be a pure python solution which is going to be self contained, ie no installation will be required other from the standard python modules. -
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Find out where your website visitors are from: generates statistics on hits per top level domain (e.g. .com, .org, .uk, .se, .fr). Currently works with apache log format, but can easily be extended to understand other formats. Written in vanilla Python.
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This is a collection of REST specifications, and implementations of those specs, for very low-level information sharing and workflow operations using REST actions over HTTP. Implementations are in various languages, mainly Java, Python, and Ruby.
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