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LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers.
Apache Log Parser and Data Normalization Application
Apache Log Parser and Data Normalization Application
Python handles File Processing & MySQL handles Data Processing
ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis.
Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0.
4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed...
Tools for ICD (International Classification of Diseases) data
Currently implemented:
Python parser to import ICD10 XML data into a relational PostgreSQL database
Sponsored by Ordium Biotechnology
https://ordium.ai
MIT License
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.
YASPY stands for Yet Another SQLparser in Python. Yaspy is a python module that parses SQL strings and deconstructs them into their component parts, storing them for easy retrieval at a later date.
Revision Forum is a platform for consultative editing, based on the Zope webserver and (in its initial form) the Postgresql database. By leveraging the Python Docutils package and its reStructuredText parser, Revision Forum is able to offer robust docum