{"id":50398770,"url":"https://github.com/anand-sony/mttr-dashboard","last_synced_at":"2026-05-30T22:02:08.005Z","repository":{"id":355021139,"uuid":"1226452294","full_name":"Anand-Sony/MTTR-Dashboard","owner":"Anand-Sony","description":"Streamlit dashboard for MTTR analysis with shift-wise loss insights and machine-level downtime tracking.","archived":false,"fork":false,"pushed_at":"2026-05-28T12:07:07.000Z","size":249,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-28T13:05:09.215Z","etag":null,"topics":["analytics","business-analytics","dashboard","data","python","statistical-analysis"],"latest_commit_sha":null,"homepage":"https://dkxsds6bfnnebiz4jxkr4j.streamlit.app/","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/Anand-Sony.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-05-01T12:18:40.000Z","updated_at":"2026-05-28T12:08:28.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/Anand-Sony/MTTR-Dashboard","commit_stats":null,"previous_names":["anand-sony/mttr-dashboard"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Anand-Sony/MTTR-Dashboard","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anand-Sony%2FMTTR-Dashboard","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anand-Sony%2FMTTR-Dashboard/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anand-Sony%2FMTTR-Dashboard/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anand-Sony%2FMTTR-Dashboard/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Anand-Sony","download_url":"https://codeload.github.com/Anand-Sony/MTTR-Dashboard/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Anand-Sony%2FMTTR-Dashboard/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33711018,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-05-30T02:00:06.278Z","response_time":92,"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":["analytics","business-analytics","dashboard","data","python","statistical-analysis"],"created_at":"2026-05-30T22:02:06.235Z","updated_at":"2026-05-30T22:02:07.982Z","avatar_url":"https://github.com/Anand-Sony.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n\n\u003ch1\u003e📊 MTTR Analysis Dashboard\u003c/h1\u003e\n\n\u003cp\u003eInteractive dashboard to track \u003cstrong\u003eMean Time To Repair\u003c/strong\u003e across production lines, machines, and defect categories.\u003c/p\u003e\n\n![Python](https://img.shields.io/badge/Python-3.x-blue?style=flat-square)\n![Streamlit](https://img.shields.io/badge/Streamlit-1.45.1-red?style=flat-square)\n![Plotly](https://img.shields.io/badge/Plotly-5.24.1-green?style=flat-square)\n\n\u003c/div\u003e\n\n---\n\n\n## 🚀 Live App\n\n\u003e **[👉 Click here to open the dashboard](https://dkxsds6bfnnebiz4jxkr4j.streamlit.app/)**\n\nNo installation needed — runs directly in your browser.\n\n---\n\n## 📋 How to Use\n\n### Step 1 — Open the App\nClick the live link above. The dashboard loads instantly.\n\n### Step 2 — Download Sample Data *(Optional)*\nClick the **\"📥 Download Sample CSV (500 rows)\"** button at the top of the app to get a ready-to-use file with the correct format.\n\n### Step 3 — Prepare Your CSV\n\nYour file must have exactly these **7 columns**:\n\n| Column Name | Description | Example |\n|---|---|---|\n| `Line-ID` | Production line name | `Line-1` |\n| `Machine-ID` | Machine name | `Machine-3` |\n| `Start-Time` | Breakdown start time | `17-01-2025 06:00` |\n| `End-Time` | Breakdown end time | `17-01-2025 08:05` |\n| `Category Defect` | Main defect category | `Electrical Defect` |\n| `Sub-Category Defect` | Specific defect type | `Relay Contactor` |\n| `Down-Time` | Duration in minutes | `99.99` |\n\n\u003e ⚠️ **Date format must be `DD-MM-YYYY HH:MM`**\n\n### Step 4 — Upload \u0026 Explore\nUpload your CSV and the dashboard will automatically generate all charts.\n\n---\n\n## 📊 Features\n\n| Feature | Description |\n|---|---|\n| 📈 Pareto Chart by Line | Rank lines by MTTR with cumulative % overlay |\n| 🔧 Machine-wise MTTR | Select any line → see machine-level breakdown |\n| 🔍 Loss-wise MTTR | Select any machine → drill into defect categories |\n| 📋 Top 5 Defects by Line | Most frequent defects per line |\n| 🏁 Cross-line Defects | Defects appearing across multiple machines/lines |\n| 📥 Export Charts | Download any chart as an interactive HTML file |\n\n---\n\n## 🎛️ Filters\n\nUse the **left sidebar** to:\n- Filter by **date range**\n- Set a **minimum Down-Time** threshold (e.g. show only breakdowns \u003e 30 min)\n\n---\n\n## 🛠️ Tech Stack\n\n- [Streamlit](https://streamlit.io/) — dashboard framework\n- [Pandas](https://pandas.pydata.org/) — data processing\n- [Plotly](https://plotly.com/) — interactive charts\n- [NumPy](https://numpy.org/) — numerical operations\n\n---\n\n## 📁 Repository Structure\n\n```\nMTTR-Dashboard/\n├── mttr_dashboard.py   # Main dashboard app\n├── Sample_Data.csv     # Sample dataset (500 rows)\n├── requirements.txt    # Python dependencies\n└── README.md\n```\n\n---\n\n## 📬 Contact\n\nBuilt by **Anand Soni** · [GitHub Profile](https://github.com/Anand-Sony)\n\n## ⭐ Support\n\n## If you found this project useful, consider giving it a ⭐ on GitHub!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanand-sony%2Fmttr-dashboard","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanand-sony%2Fmttr-dashboard","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanand-sony%2Fmttr-dashboard/lists"}