{"id":21093906,"url":"https://github.com/hadson0/chess-live-ratings-data","last_synced_at":"2026-04-28T12:05:42.241Z","repository":{"id":254329071,"uuid":"842709427","full_name":"hadson0/chess-live-ratings-data","owner":"hadson0","description":"A study project focused on web scraping the live chess ratings from chess.com, with data analysis and visualization on nearly 5000 players in the classical world ranking.","archived":false,"fork":false,"pushed_at":"2024-08-22T18:30:29.000Z","size":87,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-11T04:09:31.939Z","etag":null,"topics":["beautifulsoup","chess","data-analysis","data-visualization","numpy","pandas","python","seaborn","web-scraping"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hadson0.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2024-08-14T22:51:00.000Z","updated_at":"2024-08-22T18:33:13.000Z","dependencies_parsed_at":null,"dependency_job_id":"46e224e0-0e87-494a-a3a7-3775dc1f8126","html_url":"https://github.com/hadson0/chess-live-ratings-data","commit_stats":null,"previous_names":["hadson0/chess-live-ratings-data"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hadson0/chess-live-ratings-data","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hadson0%2Fchess-live-ratings-data","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hadson0%2Fchess-live-ratings-data/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hadson0%2Fchess-live-ratings-data/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hadson0%2Fchess-live-ratings-data/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hadson0","download_url":"https://codeload.github.com/hadson0/chess-live-ratings-data/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hadson0%2Fchess-live-ratings-data/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32379642,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-28T11:25:28.583Z","status":"ssl_error","status_checked_at":"2026-04-28T11:25:05.435Z","response_time":56,"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":["beautifulsoup","chess","data-analysis","data-visualization","numpy","pandas","python","seaborn","web-scraping"],"created_at":"2024-11-19T22:14:02.890Z","updated_at":"2026-04-28T12:05:42.209Z","avatar_url":"https://github.com/hadson0.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Chess Live Ratings Data\n\nThis repository is a study project focused on practicing web scraping techniques using BeautifulSoup. The data was scraped from the live ratings page on chess.com, capturing information on nearly 5000 players in the classical world ranking. \n\n## Features\n\n- Data extraction and cleaning using BeautifulSoup and pandas.\n- Data analysis performed with pandas, matplotlib, seaborn, and numpy.\n- Visualizations and statistical insights into the chess live ratings data.\n\n## Purpose\n\nThe main objective of this project is to practice web scraping, data manipulation, and exploratory data analysis in Python. \n\nThis project is intended for educational purposes only.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhadson0%2Fchess-live-ratings-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhadson0%2Fchess-live-ratings-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhadson0%2Fchess-live-ratings-data/lists"}