{ "info": { "author": "Howard Chivers", "author_email": "howard.chivers@york.ac.uk", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Text Processing :: General" ], "description": "============\nIntroduction\n============\n\nThis is a general purpose regular expression matching engine, with\nparticularly good performance for searching large byte buffers, for example \nlarge files or raw disk images, using multiple encodings. It was writted to\nsolve perfomance issues in big data extraction tasks including artefact discovery\nfor digital forensics.\n\njsre is:\n\n* **Fast:** When matching complex patterns or a large number of keywords on large\n input buffers it is substantially faster than current regular expression\n engines. jsre is designed to scale well in the face of complexity: its \n relative performance improves with increasing pattern complexity.\n* **Unicode Encoding Neutral:** A regular expression is written as a string,\n the user separately specifies what encodings are to be searched when the\n expression is compiled. All Python codecs are supported and the capability \n provided is compilant with Unicode regular expression level 1 requirements.\n* **Deployable:** The compiled matching engine has a small memory\n footprint limited to below 10MByte, allowing processing to be easily \n distributed across multiple CPUs.\n* **Portable:** The software uses a single Python type extension and only\n standard C and Python libraries. Installs with ``pip`` on Windows or Linux.\n\njsre includes additional functions that are specific to its intended\napplication, they include alternative expression indexing, the processing of overlapped\nbuffers and the specification of stride and offset for search anchors\n(e.g. for searching at fixed positions in disk sectors).\n\nVersion 1.1 is based on a new library for managing character classes and associated \nset operations. This has significantly improved compilation speeds, allowing the \nuse of this module in more geneal purpos re applications.\n\nAs far as possible jsre provides a similar interface to the standard Python\nre module. See documentation examples for an introduction to the module\nand its application-specific features. This documentation assumes that the reader\nis familiar with regular expressions and their use; newcomers may find it\neasier to first read the Python re documentation and tutorials.\n\nContact: howard.chivers@york.ac.uk\n\n\n\n", "description_content_type": "", "docs_url": "https://pythonhosted.org/jsre/", "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "regular expressions search forensic", "license": "BSD New", "maintainer": "", "maintainer_email": "", "name": "jsre", "package_url": "https://pypi.org/project/jsre/", "platform": "", "project_url": "https://pypi.org/project/jsre/", "project_urls": null, "release_url": "https://pypi.org/project/jsre/1.1.1/", "requires_dist": null, "requires_python": "", "summary": "Regular expression module for forensics and big data", "version": "1.1.1" }, "last_serial": 4591632, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "7f07640d2165cf0a62579c3e1e54cd31", 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