{"id":13679887,"url":"https://github.com/jjfiv/fastrank","last_synced_at":"2025-10-24T17:33:11.536Z","repository":{"id":36155983,"uuid":"196874216","full_name":"jjfiv/fastrank","owner":"jjfiv","description":"My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: \"pip install fastrank\".","archived":false,"fork":false,"pushed_at":"2025-03-03T11:39:38.000Z","size":371,"stargazers_count":52,"open_issues_count":20,"forks_count":5,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-30T05:07:47.009Z","etag":null,"topics":["coordinate-ascent","learning-to-rank","machine-learning","random-forests","ranklib","rust"],"latest_commit_sha":null,"homepage":"https://jjfoley.me/2019/10/11/fastrank-alpha.html","language":"Rust","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jjfiv.png","metadata":{"files":{"readme":"README.md","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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-07-14T19:16:28.000Z","updated_at":"2025-02-07T10:35:36.000Z","dependencies_parsed_at":"2024-01-14T15:23:37.875Z","dependency_job_id":"60bf3174-8414-4347-9eb1-f8fd72fe7d47","html_url":"https://github.com/jjfiv/fastrank","commit_stats":{"total_commits":169,"total_committers":5,"mean_commits":33.8,"dds":0.6035502958579881,"last_synced_commit":"4d3b57f96463db08ee35e8ed4c2de27ad19932de"},"previous_names":[],"tags_count":7,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjfiv%2Ffastrank","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjfiv%2Ffastrank/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjfiv%2Ffastrank/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjfiv%2Ffastrank/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jjfiv","download_url":"https://codeload.github.com/jjfiv/fastrank/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247441051,"owners_count":20939239,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["coordinate-ascent","learning-to-rank","machine-learning","random-forests","ranklib","rust"],"created_at":"2024-08-02T13:01:10.717Z","updated_at":"2025-10-24T17:33:11.410Z","avatar_url":"https://github.com/jjfiv.png","language":"Rust","funding_links":[],"categories":["Rust"],"sub_categories":[],"readme":"# FastRank ![CI Status Badge](https://github.com/jjfiv/fastrank/workflows/CI/badge.svg) [![PyPI version](https://badge.fury.io/py/fastrank.svg)](https://badge.fury.io/py/fastrank)\n\nMy most frequently used learning-to-rank algorithms ported to rust for efficiency.\n\nRead my [blog-post](https://jjfoley.me/2019/10/11/fastrank-alpha.html) announcing the first public version: 0.4. It's alpha because I think the API needs work, not because there's any sort of known correctness or compatiblity issues.\n\n## Python Requirements / Release History\n\n- 0.5 and earlier require only Python 3.5, but no windows builds were pushed.\n- 0.6 requires Python 3.6 due to EOL for Python 3.5 becoming prevalent in the latest pip.\n- 0.6.1 switched to manylinux2010 building; you might get better vectorization from a local copy.\n- 0.7 maintains the requirement of Python 3.6\n- 0.8 and forward will require Python 3.7 so we can use the standard @dataclass annotation and drop the attrs dependency.\n\n## Python Usage\n\n```shell\npip install fastrank\n```\n\nSee this [Colab notebook](https://colab.research.google.com/drive/1IjF7yTin1XaNO_6mBNxAoQYTmF0nckk1) for more, or see a static version [here on Github](https://github.com/jjfiv/fastrank/blob/master/examples/FastRankDemo.ipynb).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjjfiv%2Ffastrank","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjjfiv%2Ffastrank","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjjfiv%2Ffastrank/lists"}