SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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Run applications fast and securely in a fully managed environment
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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.
Project's new home: https://github.com/Stunner/FileZilla-Log-Analyzer
Python scripts that filter, parse, mask, and analyze FileZilla Server Log files. Works on Windows, Linux, and Mac systems.
WARNING: NEW VERSIONS ARE BEING POSTED TO GITHUB HERE: https://github.com/Stunner/FileZilla-Log-Analyzer
The Secure Remote Log Monitor (SRLM) project provides client and server
utilities that collect application or system log files from multiple systems over an untrusted network onto a central server for analysis and action.
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A python based adaptive network analyzer. The aim of the project is to identify illegitimate uses of bandwidth in a network. Uses tshark for network data gathering.
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.