{"id":22994266,"url":"https://github.com/abhishek-patidar066/nirf-ranking","last_synced_at":"2026-05-03T02:40:28.826Z","repository":{"id":263023832,"uuid":"859692870","full_name":"Abhishek-Patidar066/NIRF-Ranking","owner":"Abhishek-Patidar066","description":" A NIRF ranking displays top Engineering institutions performance across India and also shows the variations in ranking in next 3 years.","archived":false,"fork":false,"pushed_at":"2024-11-20T12:04:55.000Z","size":1508,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-02T12:48:47.364Z","etag":null,"topics":["beautifulsoup","data-analytics","data-cleaning","data-mining","matplotlib-python","nirf","pandas-python","plots-in-python","python","ranking","requests-library-python"],"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/Abhishek-Patidar066.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":"2024-09-19T05:48:41.000Z","updated_at":"2024-11-20T12:04:58.000Z","dependencies_parsed_at":null,"dependency_job_id":"8129bff2-76e9-4264-beb2-c2d762720bb1","html_url":"https://github.com/Abhishek-Patidar066/NIRF-Ranking","commit_stats":null,"previous_names":["abhishek-patidar066/nirf-ranking"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Abhishek-Patidar066/NIRF-Ranking","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhishek-Patidar066%2FNIRF-Ranking","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhishek-Patidar066%2FNIRF-Ranking/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhishek-Patidar066%2FNIRF-Ranking/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhishek-Patidar066%2FNIRF-Ranking/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Abhishek-Patidar066","download_url":"https://codeload.github.com/Abhishek-Patidar066/NIRF-Ranking/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhishek-Patidar066%2FNIRF-Ranking/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32556771,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-03T00:31:16.350Z","status":"online","status_checked_at":"2026-05-03T02:00:09.297Z","response_time":103,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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","data-analytics","data-cleaning","data-mining","matplotlib-python","nirf","pandas-python","plots-in-python","python","ranking","requests-library-python"],"created_at":"2024-12-15T05:17:39.732Z","updated_at":"2026-05-03T02:40:28.786Z","avatar_url":"https://github.com/Abhishek-Patidar066.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NIRF-Top-100-college-Ranking-2021-2024\n![nirf](https://github.com/user-attachments/assets/b2c0ad3f-4b31-495e-a86a-42ce89495582)\n\nOverview:\n\nThis project provides a detailed analysis of the Top 100 College Rankings from the NIRF (National Institutional Ranking Framework) for the years 2021 to 2024. The analysis is powered by Python, employing web scraping, data manipulation, and visualization techniques to uncover insights into the trends and changes in college rankings over time.\n\nFeatures:\n\nWeb Scraping: Extracted the NIRF rankings data for the top 30 institutions from the official website using Beautiful Soup.\nData Processing: Cleaned, structured, and organized the data using Pandas to ensure seamless analysis and visualization.\nData Visualization: Created clear and insightful visualizations with Matplotlib to show trends in rankings over multiple years.\nYear-on-Year Comparison: Tracked the performance of individual colleges from 2021 to 2024, providing a comprehensive view of changes in rankings.\n\nTechnologies Used:\n\nPython\nBeautiful Soup (for web scraping)\nPandas (for data manipulation)\nMatplotlib (for data visualization)\n\nHow It Works:\n\nData Extraction: The script scrapes ranking data from the NIRF website for the years 2021-2024.\nData Cleaning: The raw data is cleaned, removing inconsistencies and formatting issues, and is structured into a usable format.\nVisualization: Plots and graphs are generated to highlight trends in rankings, helping users easily understand shifts in the top 100 colleges over the years.\n\nPurpose:\n\nThis project serves as a valuable resource for anyone interested in understanding the NIRF ranking trends for India's top colleges. It provides a clear and visual representation of how various institutions have performed over time and offers a foundation for further educational or institutional analysis.\n\nHow to Use:\n\nClone or download the repository.\nInstall the necessary Python libraries.\nRun the script to scrape and visualize the NIRF data for the top 100 colleges.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhishek-patidar066%2Fnirf-ranking","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhishek-patidar066%2Fnirf-ranking","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhishek-patidar066%2Fnirf-ranking/lists"}