{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/2"}],"enrichment":{"capability":"Computes Simhash fingerprints for text and documents to detect near-duplicate content with a single hash value.","skillfed_tags":["deduplication","text-similarity","hashing"],"use_cases":["Detect near-duplicate web pages or documents in a crawl or corpus to avoid storing redundant content.","Identify similar text submissions in bulk uploads to flag potential plagiarism or spam.","Deduplicate large document collections by grouping content with similar Simhash values.","Build a similarity index for fast approximate matching of new documents against a known set."],"what_it_does":"Simhash is a Python implementation of Google's Simhash algorithm, which generates a compact fingerprint for text documents. Rather than comparing full documents, Simhash produces a fixed-size hash that allows fast detection of near-duplicate content\u2014documents with small differences will have similar hashes. This is useful for deduplication in web crawlers, duplicate detection in databases, and content similarity analysis.\n\nThe package depends on numpy for numerical operations. It has been stable since its last release in 2022 but is no longer actively maintained. With 1038 GitHub stars and consistent monthly downloads, it remains a recognized tool for this specific task, though you should verify compatibility with your Python and numpy versions before relying on it in production.","worth_installing":"Yes, if you need Simhash specifically and can verify it works with your Python and numpy versions. The algorithm is well-established and the package is stable, but abandonment means no fixes for future compatibility issues. Suitable for projects where you control dependencies and can test thoroughly before deployment."},"id":"simhash","links":{"html":"https://skillfed.io/packages/simhash","md":"https://skillfed.io/packages/simhash.md","pypi":"https://pypi.org/project/simhash/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2022-03-03","license_spdx":null,"license_treatment":"permissive","name":"simhash","python_support":"unspecified","summary":"A Python implementation of Simhash Algorithm"},"popularity":{"monthly_downloads":325911,"position":7581,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.1.2"}