{"id":26234952,"url":"https://github.com/saajann/lotto-predictor","last_synced_at":"2026-05-14T21:06:51.071Z","repository":{"id":281476041,"uuid":"928415642","full_name":"saajann/lotto-predictor","owner":"saajann","description":"No machine learning, just statistics 📊","archived":false,"fork":false,"pushed_at":"2025-03-09T10:25:12.000Z","size":1527,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-09T11:23:22.941Z","etag":null,"topics":["python","statistics","streamlit"],"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/saajann.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":"2025-02-06T15:50:27.000Z","updated_at":"2025-03-09T10:25:34.000Z","dependencies_parsed_at":"2025-03-09T11:34:05.738Z","dependency_job_id":null,"html_url":"https://github.com/saajann/lotto-predictor","commit_stats":null,"previous_names":["saajann/lotto-predictor"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/saajann/lotto-predictor","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saajann%2Flotto-predictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saajann%2Flotto-predictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saajann%2Flotto-predictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saajann%2Flotto-predictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/saajann","download_url":"https://codeload.github.com/saajann/lotto-predictor/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saajann%2Flotto-predictor/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33043304,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-13T13:14:54.681Z","status":"online","status_checked_at":"2026-05-14T02:00:06.663Z","response_time":57,"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":["python","statistics","streamlit"],"created_at":"2025-03-13T02:30:40.008Z","updated_at":"2026-05-14T21:06:51.053Z","avatar_url":"https://github.com/saajann.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Lotto Draws Visualizer\n\n\u003e No machine learning, just statistics.\n\nA streamlit web app for visualizing and analyzing Italian lotto draws using historical data.\n\n## Overview\n\nThis application provides a simple way to:\n- View historical lottery draws by date\n- Analyze number frequency patterns\n- Visualize number trends with an intuitive grid system\n\n## Features\n\n- **Draws by Date**: Browse historical lottery draws with a clean, tabular interface\n- **Frequency Analysis**: View histograms showing the occurrence patterns of numbers for each wheel\n- **Number Grid**: Quickly identify hot and cold numbers with an intuitive color-coded grid\n\n## Getting Started\n\nEcco la versione corretta:  \n\n## Getting Started\n\n1. Clone this repository:\n   ```sh\n   git clone https://github.com/saajann/lotto-predictor.git\n   ```\n2. Navigate into the project directory:\n   ```sh\n   cd lotto-predictor\n   ```\n3. Install requirements:\n   ```sh\n   pip install -r requirements.txt\n   ```\n4. Run the application:\n   ```sh\n   streamlit run scripts/app.py\n   ```\n\n## Data Structure\n\nThe application organizes data in three main directories:\n- `data/raw`: Contains the original downloaded zip file and extracted text data\n- `data/processed`: Contains cleaned and formatted historical draw data\n- `data/historical_stats`: Contains pre-calculated frequency statistics\n\n## Usage\n\n1. Click \"Refresh Data\" to download the latest lottery data\n2. Navigate between tabs to explore different views of the data\n3. 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