echotrace is a free, open source business intelligence & reporting project written in several languages and released under MIT. It has 3,857 GitHub stars, 688 forks and 31 open issues, and was last pushed 8 months ago. On this registry it ranks #31 of 79 tracked projects in Business Intelligence & Reporting, with 5 head-to-head comparisons available. It gained 23 stars over the last 30 tracked days.

What is echotrace?

EchoTrace is a fully local, MIT-licensed desktop tool that decrypts WeChat chat history, keeps the archive on the user's own machine for offline viewing, exports conversations to HTML, and generates annual chat reports, built for anyone who wants to look back over years of conversations without handing that data to a third party.

What it is

EchoTrace is an open-source application, written in Flutter and published under the MIT licence, that reads WeChat chat records from a local machine, decrypts them, and turns them into browsable archives and analytical reports. It is filed under Data & Analytics / Business Intelligence & Reporting, and its topics are annual-reports, chat-history, data-analysis, data-visualization, and wechat. It lives in the small ecosystem of open-source WeChat archive tooling: the README credits chatlog for decryption ideas, WxDatDecrypt for image decryption reference, and contributor @sai595870682 for the approach to parsing inline images and voice messages. The project has 3,814 stars, 683 forks, and 31 open issues.

The concrete problem it addresses is that WeChat history stays inside the client, where it is difficult to search, archive, or quantify over long spans of time. EchoTrace decrypts those records, presents them offline, exports them as HTML for sharing, and builds reports from them. The README frames the motivation directly: the author wanted to know who time had brought into their life, to see that they had exchanged tens of thousands of messages with a friend, to find late-night conversations, and to see how time quietly moved some people closer and others further away. The tool exists so that this analysis happens on local files rather than through a hosted service that would require uploading chat data.

Key capabilities

  • Decrypts WeChat chat records and saves them locally so they can be viewed offline.
  • Exports conversations to HTML files that can be shared with friends.
  • Generates annual reports for an individual and for a pair, including the date two people first chatted and yearly statistics.
  • Produces a word cloud of the words two people use most often.
  • Parses and displays richer message types, covering voice messages, images, and sticker packs.
  • Ships as a Flutter desktop application built with flutter pub get, flutter run, and flutter build windows.
  • Has a documented roadmap for message-type radar charts, chat-time distribution and heat maps, and a short image summary of a pair's annual report.

Who uses it and how

  • People reviewing years of conversation, who want the counts, dates, and patterns that a report surfaces rather than scrolling through the client.
  • Privacy-conscious users who need a local archive: decryption, storage, and offline viewing keep the chat data on their own machine.
  • Users who want to hand results to someone else, using the HTML export to share an archive or report with a friend.
  • Developers and contributors, who clone the repository, run flutter pub get, flutter run, and flutter build windows; docs/beginner_guide.md targets newcomers and docs/development.md covers architecture, file responsibilities, debugging, and CLI usage.
  • Users who outgrow it: the README points to ChatLab for deeper chat analysis, to WeFlow for realtime functionality, and to 密语 for backup functionality.

Getting started

Clone https://github.com/ycccccccy/echotrace.git, then run flutter pub get and flutter run; package a build with flutter build windows on Windows. New users are directed to docs/beginner_guide.md.

How it compares

EchoTrace sits alongside other open-source WeChat archive tools rather than replacing a paid product: it credits chatlog for decryption ideas and WxDatDecrypt for image decryption, and after maintenance stopped the README redirects users to WeFlow for realtime functionality and to 密语 for backup functionality. Deeper analysis is delegated to ChatLab, so EchoTrace's own scope is decryption, offline viewing, HTML export, and report generation.

When to use it — and when not to

The README states plainly that EchoTrace has stopped being maintained, and it directs users who still need realtime capture to WeFlow and users who need backup to 密语; anyone who requires an actively maintained tool should start there instead. A self-hoster must supply a Flutter toolchain and build the application from source, since the README documents no packaged installer, and 31 issues remain open. The README closes with a reminder to use the tool responsibly and in compliance with relevant laws, which is the main constraint to weigh before decrypting anyone's records.

project readme (upstream, from github) — read inline

EchoTrace

EchoTrace 是一个完全本地的微信聊天记录导出、分析与年度报告生成工具。它可以解密你的微信聊天记录并保存在本地离线查看,也可以将其导出为HTML等与朋友分享,还可以根据你的聊天记录为你生成独一无二的分析报告❤️



Stargazers Forks Issues License

[!TIP] 如果导出聊天记录后,想深入分析聊天内容可以试试 ChatLab

[!TIP] Echotrace现已停止维护 如想继续使用可以看看 WeFlow 对应Echotrace中的实时功能 或 密语 对应Echotrace中的备份功能

快速开始

面向新手的使用教程见 此文档

EchoTrace 为何而来

我想知道,这些年来,时间都带我遇见了谁,又留下了些什么

从生成的报告里,看到自己和某个朋友不知不觉间竟聊了上万句话,看到深夜里和朋友的互相倾诉,看到几万句话背后默默的陪伴,看到时间是如何悄无声息地,将一些人带到你的生命里,又将另一些人轻轻推向远方

我们总是在向前走,却很少有机会回头看看

如果这份小小的报告,能让你想起某个很久没联系的朋友,能让你对当下的陪伴心存感激,或者能在某个平凡的午后,给你带来一丝微笑和暖意,那么,这一切就都有了意义

面向开发者

如果你想从源码构建或为项目贡献代码,请遵循以下步骤:

# 1. 克隆项目到本地
git clone https://github.com/ycccccccy/echotrace.git
cd echotrace

# 2. 安装项目依赖
flutter pub get

# 3. 运行应用(调试模式)
flutter run

# 4. 打包可执行文件 (以 Windows 为例)
flutter build windows

更多架构、文件职责、调试与 CLI 说明,请阅读 开发者指引。

关于实时模式的实现可阅读 模块调用文档

未来计划

我们正在努力让 EchoTrace 变得更好,未来计划实现以下功能:

  • [✅] 更丰富的消息支持:解析并展示语音、图片和表情包
  • 更多可视化图表:加入更多有趣的统计维度,如“年度词云✅”、“表情包大战”等

双人年度报告:

  • [✅] 基本的统计信息:两人最开始的聊天日期,以及年度统计
  • 消息类型统计: 通过雷达图来反应两个人发送的消息类型(语音、图片、视频、文件、表情包、文本)的多少,以及两个人各自发了多少条消息
  • 聊天时段分布:统计两个人在一天中最常发微信的时间,以及一年中发送消息的热点图
  • [✅] 词云统计:统计两个人最常发送的词语
  • 年度报告总结:总结出两人的聊天报告 生成简短的图片

有任何想法?欢迎通过 Issues 告诉我们!

致谢与许可

本项目基于 MIT 许可 - 你可以自由使用、修改和分发,但需自行承担风险

本项目在开发过程中参考了以下开源项目,特此致谢:

  • chatlog:感谢该项目为解密微信聊天记录提供了重要思路和参考
  • WxDatDecrypt:感谢该项目为解密微信图片提供了解密方法参考
  • @sai595870682:感谢该用户提供了内联图片与语音解析的思路

写在最后

也许在生成报告的过程中,你会想起某个很久没联系的朋友,也许你会发现某个人一直在默默陪伴,也许你只是会心一笑,感叹时光飞逝

无论如何,希望这个小工具能成为你生命中一个温暖的见证

如果它真的让你有所触动,不妨把它分享给你在意的人

只要好友还在,我们还记得彼此

总有一天,我们会再次相见


Star History

Star History Chart

请负责任地使用本工具,遵守相关法律法规

比起沉浸在回忆里,也许珍惜眼前的人会更重要一点

Frequently asked questions

Is echotrace free to use?

echotrace is open source under the MIT licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does echotrace do?

EchoTrace 是一个本地、安全的微信聊天记录导出、分析与年度报告生成工具 | EchoTrace is a local, secure tool for exporting, analyzing, and generating annual reports of WeChat chat records

What is echotrace written in?

echotrace's source is publicly available at https://github.com/ycccccccy/echotrace, with 3,857 GitHub stars.