{"id":19287989,"url":"https://github.com/pedrosfaria2/match_predictor_models","last_synced_at":"2026-04-11T12:03:46.028Z","repository":{"id":239089112,"uuid":"798048876","full_name":"pedrosfaria2/match_predictor_models","owner":"pedrosfaria2","description":"Soccer match prediction models","archived":false,"fork":false,"pushed_at":"2024-05-10T01:29:58.000Z","size":221,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-05T19:23:08.945Z","etag":null,"topics":["css","css3","flask","html","html5","javascript","modeling","modeling-and-simulation","python","python3","scikit-learn","simulation","test-automation","test-driven-development","testing"],"latest_commit_sha":null,"homepage":"","language":"Python","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/pedrosfaria2.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":"2024-05-09T01:52:18.000Z","updated_at":"2024-05-10T16:42:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"437bfe31-9677-44bd-a8f1-c5326c2b99b8","html_url":"https://github.com/pedrosfaria2/match_predictor_models","commit_stats":null,"previous_names":["pedrosfaria2/match_predictor_models"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pedrosfaria2%2Fmatch_predictor_models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pedrosfaria2%2Fmatch_predictor_models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pedrosfaria2%2Fmatch_predictor_models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pedrosfaria2%2Fmatch_predictor_models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pedrosfaria2","download_url":"https://codeload.github.com/pedrosfaria2/match_predictor_models/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240392708,"owners_count":19794140,"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":["css","css3","flask","html","html5","javascript","modeling","modeling-and-simulation","python","python3","scikit-learn","simulation","test-automation","test-driven-development","testing"],"created_at":"2024-11-09T22:07:46.217Z","updated_at":"2026-04-11T12:03:45.965Z","avatar_url":"https://github.com/pedrosfaria2.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Match predictor\n\nThe Match Predictor codebase contains an app with several predictors for football results.\n\n## Local development\n\nFollow the instructions below to get the app up and running on your machine.\n\n1.  Install Python 3.10 and a recent version of NPM.\n1.  Install dependencies and run tests.\n    ```shell\n    make install test\n    ```\n1.  View the list of available tasks\n    ```shell\n    make\n    ```\n\n## Backend\n\nHere are a few tasks that are useful when running the backend app.\nMake sure they all run on your machine.\n\n1.  Run tests\n    ```shell\n    make backend/test\n\n1.  Run model measurement tests\n    ```shell\n    make backend/measure\n    ```\n\n1.  Run server\n    ```shell\n    make backend/run\n    ```\n\n1.  Run an accuracy report\n    ```shell\n    make backend/report\n    ```\n\n## Frontend\n\nHere are a few tasks that are useful when running the frontend app.\nMake sure they all run on your machine.\n\n1.  Run tests\n    ```shell\n    make frontend/test\n    ```\n\n1.  Run server\n    ```shell\n    make frontend/run\n    ```\n\n## Integration tests\n\nIf it's helpful, you may want to run integration tests during development.\nDo so with the tasks below.\n\n1.  Run tests\n    ```shell\n    make integration/test\n    ```\n\n1.  Interactive mode\n    ```shell\n    make integration/run\n    ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpedrosfaria2%2Fmatch_predictor_models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpedrosfaria2%2Fmatch_predictor_models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpedrosfaria2%2Fmatch_predictor_models/lists"}