{"id":23117804,"url":"https://github.com/praveendecode/phonepe_pulse","last_synced_at":"2026-04-14T15:32:40.154Z","repository":{"id":186767869,"uuid":"675611886","full_name":"praveendecode/phonepe_pulse","owner":"praveendecode","description":"Phonepe Pulse Data Visualization and Exploration: A User-Friendly Tool Using Streamlit and Plotly","archived":false,"fork":false,"pushed_at":"2023-12-21T12:22:32.000Z","size":7089,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-04T02:11:46.089Z","etag":null,"topics":["data-visualization","dataanalysis","financial-analysis","mongodb","postgres","python","sql","streamlit-dashboard"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/praveendecode.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":"2023-08-07T10:17:26.000Z","updated_at":"2023-10-27T08:37:42.000Z","dependencies_parsed_at":"2023-12-21T14:05:15.420Z","dependency_job_id":null,"html_url":"https://github.com/praveendecode/phonepe_pulse","commit_stats":null,"previous_names":["praveendecode/phonepe_pulse"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/praveendecode/phonepe_pulse","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2Fphonepe_pulse","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2Fphonepe_pulse/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2Fphonepe_pulse/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2Fphonepe_pulse/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/praveendecode","download_url":"https://codeload.github.com/praveendecode/phonepe_pulse/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/praveendecode%2Fphonepe_pulse/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31803317,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-14T11:13:53.975Z","status":"ssl_error","status_checked_at":"2026-04-14T11:13:53.299Z","response_time":153,"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":["data-visualization","dataanalysis","financial-analysis","mongodb","postgres","python","sql","streamlit-dashboard"],"created_at":"2024-12-17T04:30:11.552Z","updated_at":"2026-04-14T15:32:40.134Z","avatar_url":"https://github.com/praveendecode.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Phonepe Revenue Analysis \n\n\n  ![image](https://github.com/praveendecode/phonepe_pulse/assets/95226524/24048113-5ef7-449c-9c7d-6f6cd78c98bd)\n \n\n\n# Overview\n\n  - This project aims to create an interactive data visualization tool for the Phonepe Pulse data available on GitHub. The tool provides user-friendly access to various metrics and statistics.\n\n\n## Features\n\n  - Data Extraction: Automates the process of fetching data from the Phonepe Pulse GitHub repository\n       \n  - Data Transformation: Cleans and processes the data using Python and Pandas.\n       \n  - Database Integration: Stores the cleaned data in a PostgreSQL database for efficient retrieval.\n       \n  - Interactive Dashboard: Presents data using Streamlit and Plotly, offering dynamic visualizations.\n       \n  - Data Retrieval: Connects to the PostgreSQL database to display data on the dashboard.\n       \n  - Customization: Offers more interactive options for users to select different data visualizations.\n\n\n# Getting Started\n    \n  - Clone the GitHub repository.\n    \n  - Use Python, Pandas, and pymongo for data processing.\n    \n  - Set up the PostgreSQL database for data storage.\n    \n  - Create the interactive dashboard using Streamlit and Plotly.\n    \n  - Fetch data from the database for dashboard updates.\n    \n\n# Technical Steps to Execute the Project\n\n### Step 1: Install Required Libraries\n\n  - Before running the project, make sure to install the necessary libraries mentioned in the Dashboard.py file.\n\n### Step 2: Execute ETL Process\n\n  - Use the ETL.py file to perform the Extract, Transform, Load (ETL) process on the Phonepe Pulse data.\n\n### Step 3: Run the Dashboard\n\n  - Fork the Dashboard folder and run it in your local integrated development environment (IDE).\n\n### Step 4: Utilize the Phonepe_pulse Class\n\n  - In this project, a Phonepe_pulse class has been created to manage the methods and processes.\n\n## Methods:\n\n  - Dashboard : This method contains the code for the interactive dashboard, where data visualizations are presented.\n\n  - Note: Streamlit is used in this project to make our code visually appealing and to provide an eye-catching data presentation.\n\n# Tools Covered \n\n  - Python (Scripting)\n    \n  - ETL (Extract, Transform, Load)\n    \n  - MongoDB\n    \n  - SQL (Structured Query Language)\n    \n  - Data Management using PostgreSQL\n    \n  - User Interface: Streamlit\n    \n  - Data Visualization: Plotly-express\n    \n  - IDE: PyCharm Community Version\n\n## Results\n\n  - This project delivers a user-friendly geo-visualization dashboard for exploring Phonepe Pulse data. Users can access and interact with various data visualizations through a web browser, gaining valuable insights from the Phonepe Pulse GitHub repository.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpraveendecode%2Fphonepe_pulse","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpraveendecode%2Fphonepe_pulse","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpraveendecode%2Fphonepe_pulse/lists"}