Search Results for "python parser with javacc"
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7 projects for "python parser with javacc" with 2 filters applied:
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Keep company data safe with Chrome EnterpriseMake AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Java exception extractor. This utility will parse all files (either plain text or bzipped) and tries to search for various exceptions. It then tries to match exceptions against grouping rules (regexps). It is also able to group unrecognised exceptions.
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Use python to parse privoxy log in clf format and refer to wot ratings of the site and then dump the data in a sqlite database for statistics generation later.
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CTypes-based python bindings to the GSASL library (www.gnu.org/software/gsasl ). This package provides a parser that generates python code w/ types checking and more pythonish feel than just plain usage of the library through ctypes.
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Postfix Log Parser in Python is a log analysis tool written in python language to get statistic reports and detect anomalous behaviours on a mail server based on Postfix and Cyrus
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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Python configuration parser module which supports arbitrarily deep hierarchical option "dictionaries" and partnership with the existing optparse (optik) python module. The API of this module will follow as close as possible the optparse model.
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This has a Python ICAP (Internet Content Adaptation Protocol) server and IRML parser. Using this, a web proxy can do rule-based adaptation of content before delivery to clients. Has a Python proxylet API and squid-icap-client code too.
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JFIPA is intended to be a scalable, easy-to-deploy router and parser of messages between agents using the FIPA Agent Communication Language represented as XML
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