{"id":19855801,"url":"https://github.com/miltonchung/fbmessengeranalyzer","last_synced_at":"2026-05-09T20:33:19.366Z","repository":{"id":107884289,"uuid":"334370538","full_name":"MiltonChung/FBMessengerAnalyzer","owner":"MiltonChung","description":"Simple Facebook Messenger analyzer where it tells you who you have interacted with the most(excluding groupchats).","archived":false,"fork":false,"pushed_at":"2021-02-02T20:43:26.000Z","size":19,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-11T13:54:41.503Z","etag":null,"topics":["analyzer","json","messenger","python","tkinter-gui"],"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/MiltonChung.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":"2021-01-30T09:01:46.000Z","updated_at":"2023-03-08T22:00:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"d4e53138-843b-4362-82a1-f145ac17ea80","html_url":"https://github.com/MiltonChung/FBMessengerAnalyzer","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MiltonChung%2FFBMessengerAnalyzer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MiltonChung%2FFBMessengerAnalyzer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MiltonChung%2FFBMessengerAnalyzer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MiltonChung%2FFBMessengerAnalyzer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MiltonChung","download_url":"https://codeload.github.com/MiltonChung/FBMessengerAnalyzer/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241245642,"owners_count":19933296,"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":["analyzer","json","messenger","python","tkinter-gui"],"created_at":"2024-11-12T14:13:45.547Z","updated_at":"2026-05-09T20:33:19.329Z","avatar_url":"https://github.com/MiltonChung.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Facebook Messenger Analyzer\n\nSimple Facebook Messenger analyzer where it tells you who you have interacted with the most(excluding groupchats).\n\n## Table of contents\n\n-  [About](#about)\n-  [Features](#features)\n-  [Future Features](#future-features)\n-  [Setup](#setup)\n-  [Instructions](#instructions)\n-  [Technologies](#technologies)\n-  [Challenges](#challenges)\n-  [Inspiration](#inspiration)\n-  [Time Spent](#time-spent)\n-  [Bugs](#bugs)\n\n## About\n\nThis project was built using Python with the help of tkinter python GUI library for the user interface. The analysis can take anywhere from a few miliseconds to couple of seconds\ndepending on how much folders and data you have. Once the analysis is done, it will produce 3 files: MA_Alphabetical_Order.txt , MA_Chat_Count_Order.txt , and MA_Total_Count_Order.txt.\nEach file contains JSON output of your data.\n- MA_Alphabetical_Order.txt: Orders your output alphabetically\n- MA_Chat_Count_Order.txt: Orders your output by only chat(pure messages without photos, stickers, etc...) count\n- MA_Total_Count_Order.txt: Orders your output by all interactions(including chat, gifs, photos, etc...) count\n\n## Features\n\n-  Analyze user data and order them alphabetically, total, and chat\n\n## Future Features\n\n-  Have clear graphs(pandas and matplotlib) to visualize the data better\n-  Most used words(with all friends and with each friend)\n-  Sentiment analysis(nltk) \n\n## Setup\n\nTo run this project, download this MessengerAnalyzer.py(preferably put it in a folder) and double click it to run the GUI, and make sure you know where to find your facebook\nmessenger folder.\n\n## Instructions\n\n1. Go to your facebook \"Settings\"(top right drop-down menu) \u003e \"Your Facebook Information\" \u003e Download Your Information\n2. Request the data in JSON format and any Media Quality. Go down a little and click Deselect All and check only the Messages checkbox and click Create File.\n3. Wait until Facebook creates your data and download them(usually takes about half a day).\n4. Combine all the messages folders together into one folder.\n5. In the Messenger Analyzer program, select the /messages/inbox folder. Ex: C:\\Users\\Name\\Desktop\\messages\\inbox. Make sure the inbox folder contains folders of your friends chat history.\n\n## Technologies\n\nProject is created with:\n\n-  Python\n-  tkinter Python GUI library\n\n## Challenges\n\n-  Finding the correct library/functions to loop through the folders of each person and reading/writing files\n-  Python dictionary was kind of hard to work with at first(accessing values, ordering them, etc...)\n-  First time using tkinter library\n\n## Inspiration\n\nOn a Friday afternoon, I was wondering who I text the most on messenger and all the little statistics along with it. I decided to make this little program to analyze my messenger data.\n\n## Time Spent\n\nSo far, I've spent around 9.5 hours on this project!\n\n## Bugs\n\nIf you find any bugs or something isn't working, make an issue or contact me!\n\n*I do not store or send any information. It's purely just analyzing the data on the spot!*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiltonchung%2Ffbmessengeranalyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmiltonchung%2Ffbmessengeranalyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiltonchung%2Ffbmessengeranalyzer/lists"}