{"id":32207148,"url":"https://github.com/ngmarchant/comparator","last_synced_at":"2026-02-26T17:46:52.555Z","repository":{"id":52559659,"uuid":"316670402","full_name":"ngmarchant/comparator","owner":"ngmarchant","description":"Similarity and distance measures for clustering and record linkage applications in R","archived":false,"fork":false,"pushed_at":"2025-09-23T01:56:14.000Z","size":289,"stargazers_count":18,"open_issues_count":3,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-12-09T06:10:53.077Z","etag":null,"topics":["clustering","distance-measures","distance-metrics","entity-resolution","r-package","record-linkage","similarity-measures","string-similarity"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ngmarchant.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-11-28T06:17:15.000Z","updated_at":"2025-09-23T01:56:18.000Z","dependencies_parsed_at":"2022-09-05T10:51:04.959Z","dependency_job_id":null,"html_url":"https://github.com/ngmarchant/comparator","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/ngmarchant/comparator","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ngmarchant%2Fcomparator","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ngmarchant%2Fcomparator/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ngmarchant%2Fcomparator/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ngmarchant%2Fcomparator/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ngmarchant","download_url":"https://codeload.github.com/ngmarchant/comparator/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ngmarchant%2Fcomparator/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29866808,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-26T16:38:37.846Z","status":"ssl_error","status_checked_at":"2026-02-26T16:37:58.932Z","response_time":89,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["clustering","distance-measures","distance-metrics","entity-resolution","r-package","record-linkage","similarity-measures","string-similarity"],"created_at":"2025-10-22T05:47:07.979Z","updated_at":"2026-02-26T17:46:52.547Z","avatar_url":"https://github.com/ngmarchant.png","language":"R","funding_links":[],"categories":["Open-Source Software"],"sub_categories":["String Comparison"],"readme":"---\noutput: github_document\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\nlibrary(comparator)\n```\n\n# comparator: Comparison Functions for Clustering and Record Linkage\n\n\u003c!-- badges: start --\u003e\n\u003c!-- badges: end --\u003e\n\ncomparator implements comparison functions for clustering and record linkage \napplications. It includes functions for comparing strings, sequences and \nnumeric vectors. Where possible, comparators are implemented in C/C++ to \nensure fast performance.\n\n## Supported comparators\n\n### String comparators:\n\n#### Edit-based:\n\n* `Levenshtein()`: Levenshtein distance/similarity\n* `DamerauLevenshtein()` Damerau-Levenshtein distance/similarity\n* `Hamming()`: Hamming distance/similarity\n* `OSA()`: Optimal String Alignment distance/similarity\n* `LCS()`: Longest Common Subsequence distance/similarity\n* `Jaro()`: Jaro distance/similarity\n* `JaroWinkler()`: Jaro-Winkler distance/similarity\n\n#### Token-based: \n\nNot yet implemented.\n\n#### Hybrid token-character:\n\n* `MongeElkan()`: Monge-Elkan similarity\n* `FuzzyTokenSet()`: Fuzzy Token Set distance\n\n#### Other:\n\n* `InVocabulary()`: Compares strings using a reference vocabulary. Useful for \n  comparing names.\n* `Lookup()`: Retrieves distances/similarities from a lookup table\n* `BinaryComp()`: Compares strings based on whether they agree/disagree \n  exactly.\n\n### Numeric comparators:\n\n* `Euclidean()`: Euclidean (L-2) distance\n* `Manhattan()`: Manhattan (L-1) distance\n* `Chebyshev()`: Chebyshev (L-∞) distance\n* `Minkowski()`: Minkowski (L-p) distance\n\n## Installation\n\nYou can install the latest release from [CRAN](https://CRAN.R-project.org) \nby entering:\n\n``` r\ninstall.packages(\"comparator\")\n```\n\nThe development version can be installed from GitHub using `devtools`:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"ngmarchant/comparator\")\n```\n\n## Example\n\nA comparator is instantiated by calling its constructor function. \nFor example, we can instantiate a Levenshtein similarity comparator that \nignores differences in upper/lowercase characters as follows:\n\n```{r lev}\ncomparator \u003c- Levenshtein(similarity = TRUE, normalize = TRUE, ignore_case = TRUE)\n```\n\nWe can apply the comparator to character vectors element-wise as follows:\n\n```{r elementwise-str}\nx \u003c- c(\"John Doe\", \"Jane Doe\")\ny \u003c- c(\"jonathon doe\", \"jane doe\")\nelementwise(comparator, x, y)\n\n# shorthand for above\ncomparator(x, y)\n```\n\nThis comparator is also defined on sequences:\n\n```{r elementwise-seq}\nx_seq \u003c- list(c(1, 2, 1, 1), c(1, 2, 3, 4))\ny_seq \u003c- list(c(4, 3, 2, 1), c(1, 2, 3, 1))\nelementwise(comparator, x_seq, y_seq)\n\n# shorthand for above\ncomparator(x_seq, y_seq)\n```\n\nPairwise comparisons are also supported using the following syntax:\n\n```{r pairwise}\n# compare each string in x with each string in y and return a similarity matrix\npairwise(comparator, x, y, return_matrix = TRUE)\n\n# compare the strings in x pairwise and return a similarity matrix\npairwise(comparator, x, return_matrix = TRUE)\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fngmarchant%2Fcomparator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fngmarchant%2Fcomparator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fngmarchant%2Fcomparator/lists"}