{"id":28959440,"url":"https://github.com/wdopen-nk/simple-expense-tracker","last_synced_at":"2026-04-13T15:34:14.446Z","repository":{"id":300746018,"uuid":"1006942739","full_name":"wdopen-nk/simple-expense-tracker","owner":"wdopen-nk","description":"Built an interactive expense tracker using Python, Streamlit, and Plotly that analyzes uploaded bank statements, performs automatic expense categorization, and provides clear visual insights into user spending behavior.","archived":false,"fork":false,"pushed_at":"2026-03-18T20:07:48.000Z","size":428,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-03-19T08:41:13.851Z","etag":null,"topics":["json","pandas","plotly","pyhton","streamlit"],"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/wdopen-nk.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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-06-23T08:21:33.000Z","updated_at":"2026-03-18T21:25:22.000Z","dependencies_parsed_at":"2025-06-28T20:31:40.184Z","dependency_job_id":null,"html_url":"https://github.com/wdopen-nk/simple-expense-tracker","commit_stats":null,"previous_names":["wdopen-nk/simple-expense-tracker"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/wdopen-nk/simple-expense-tracker","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wdopen-nk%2Fsimple-expense-tracker","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wdopen-nk%2Fsimple-expense-tracker/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wdopen-nk%2Fsimple-expense-tracker/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wdopen-nk%2Fsimple-expense-tracker/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wdopen-nk","download_url":"https://codeload.github.com/wdopen-nk/simple-expense-tracker/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wdopen-nk%2Fsimple-expense-tracker/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31759529,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T15:25:13.801Z","status":"ssl_error","status_checked_at":"2026-04-13T15:25:09.162Z","response_time":93,"last_error":"SSL_read: 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":["json","pandas","plotly","pyhton","streamlit"],"created_at":"2025-06-24T00:01:48.544Z","updated_at":"2026-04-13T15:34:14.439Z","avatar_url":"https://github.com/wdopen-nk.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 💸Expense Tracker App\n\n#### A simple and interactive expense tracker built with Python, Streamlit, Pandas, and Plotly. The app allows users to upload their bank statements, automatically categorize expenses, and visualize spending patterns.\n\n## 🚀 Features\n### 📂 Upload Bank Statements\n\n- #### Supports CSV files\n- #### Automatically processes transaction data\n\n### 🧠 Smart Expense Categorization\n\n- #### Automatically assigns categories to transactions\n\n- #### Users can add custom categories\n\n### 📊 Interactive Visualizations\n\n- #### Pie charts showing expense distribution\n\n- #### Percentage breakdown using Plotly\n\n### 📈 Payments Summary\n\n- #### Overview of total spending\n\n- #### Category-wise insights\n\n\n## 📸 Demo\n\n![Dashboard Screenshot](images/Screenshot%20(24).png)\n\n![Dashboard Screenshot](images/Screenshot%202026-03-18%20233406.png)\n\n\n![Dashboard Screenshot](images/Screenshot%202026-03-18%20233433.png)\n\n![Dashboard Screenshot](images/Screenshot%202026-03-18%20233542.png)\n\n## 📊 How It Works\n\n- ##### The app reads and processes the data using Pandas\n\n- #### Transactions are categorized automatically\n\n- #### You can:\n\n    - #### Edit categories\n\n    - #### Add new ones\n\n- #### Visualizations are generated using Plotly\n\n## ⚙️ Installation\n\n1. #### Clone the repository :\n\n   - ```git clone https://github.com/wdopen-nk/simple-expense-tracker.git```\n   \n   - ```cd simple-expense-tracker```\n\n2. #### Install dependencies :\n\n    - ```pip install -r requirements.txt```\n\n3. #### Run the app :\n\n    - ```streamlit run main.py```\n\n## 📄 License\n\n- #### This project is licensed under the MIT License.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwdopen-nk%2Fsimple-expense-tracker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwdopen-nk%2Fsimple-expense-tracker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwdopen-nk%2Fsimple-expense-tracker/lists"}