{"id":25299909,"url":"https://github.com/jpedrou/students-performance","last_synced_at":"2026-02-07T20:30:50.504Z","repository":{"id":253328229,"uuid":"843172122","full_name":"jpedrou/students-performance","owner":"jpedrou","description":" App to predict a student's math grade based on his attributes.","archived":false,"fork":false,"pushed_at":"2025-01-31T10:43:21.000Z","size":2452,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-28T06:32:41.389Z","etag":null,"topics":["django","javascript","python3","sqlite3","vue3","vuetify3"],"latest_commit_sha":null,"homepage":"","language":"Python","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/jpedrou.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,"zenodo":null}},"created_at":"2024-08-15T23:57:03.000Z","updated_at":"2025-01-31T10:43:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"59f70d36-55c7-4870-aed1-dc0e30220b6e","html_url":"https://github.com/jpedrou/students-performance","commit_stats":null,"previous_names":["jpedrou/students-perfomance"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jpedrou/students-performance","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jpedrou%2Fstudents-performance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jpedrou%2Fstudents-performance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jpedrou%2Fstudents-performance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jpedrou%2Fstudents-performance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jpedrou","download_url":"https://codeload.github.com/jpedrou/students-performance/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jpedrou%2Fstudents-performance/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29208161,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-07T20:13:33.422Z","status":"ssl_error","status_checked_at":"2026-02-07T20:13:31.455Z","response_time":63,"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":["django","javascript","python3","sqlite3","vue3","vuetify3"],"created_at":"2025-02-13T05:35:33.994Z","updated_at":"2026-02-07T20:30:50.489Z","avatar_url":"https://github.com/jpedrou.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1\u003eStudents Performance\u003c/h1\u003e\n\n\u003cp\u003eThe goal of this project is to predict a student s math score based on his attributes. The dataset was taken from Kaggle. You can access  it clicking \u003ca href=\"https://www.kaggle.com/datasets/spscientist/students-performance-in-exams\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\n\u003cimg src=\"frontend/public/students-performance.gif\" /\u003e\n\n\u003ch2\u003eTechnologies\u003c/h2\u003e\n\u003cdiv\u003e\u003cimg src=\"https://img.shields.io/badge/sqlite-%2307405e.svg?style=for-the-badge\u0026logo=sqlite\u0026logoColor=white\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/javascript-%23323330.svg?style=for-the-badge\u0026logo=javascript\u0026logoColor=%23F7DF1E)\" /\u003e\n\u003cimg src =\"https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffdd54\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/django-%23092E20.svg?style=for-the-badge\u0026logo=django\u0026logoColor=white\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/vuejs-%2335495e.svg?style=for-the-badge\u0026logo=vuedotjs\u0026logoColor=%234FC08D\" /\u003e\n\u003cimg src=\"https://img.shields.io/badge/Vuetify-1867C0?style=for-the-badge\u0026logo=vuetify\u0026logoColor=AEDDFF\" /\u003e\u003c/div\u003e\n\n\u003ch2\u003eSetup\u003c/h2\u003e\n\n\u003cstrong\u003eNode\u003c/strong\u003e is required to run this application. You can install it \u003ca href=\"https://nodejs.org/en\"\u003ehere\u003c/a\u003e.\n\nWith Node already installed, go to the folder `frontend` in the terminal and run the following command:\n\n```bash\nnpm install\n```\n\nThis command will get all the vue, vite and vuetify dependecies automatically.\n\nThen, you're ready to start the vuetify setup, just run:\n\n```bash\nnpm run dev\n```\n\nTo run the algorithm and the database, first you will need to install the \u003ca href=\"https://www.python.org/\"\u003ePython Interpreter\u003c/a\u003e.\n\nWith Python installed, it's needed to create a virtual environment to isolate all the dependencies in the project folder. To make it easer, just run in the project root directory:\n\n**Linux**\n\n```bash\npython3 -m venv venv\n```\n\nTo activate the virtual env, run:\n\n```bash\nsource venv/bin/activate\n```\n\n**Windows**\n\n```bash\npython -m venv venv\n```\n\nTo activate the virtual env, run:\n\n`cmd`\n\n```bash\n.\\venv\\Scripts\\activate.bat\n```\n\n`PowerShell`\n\n```bash\n.\\venv\\Scripts\\activate.ps1\n```\n\n**Running SQL Database**\n\nDjango detects the changes in the models by running the following command:\n\n```bash\npython manage.py makemigrations\n```\n\nTo effectively build the database tables, run:\n\n```bash\npython manage.py migrate\n```\n\nThen, you're ready to run the Django project:\n\n```bash\npython manage.py runserver\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjpedrou%2Fstudents-performance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjpedrou%2Fstudents-performance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjpedrou%2Fstudents-performance/lists"}