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ChatLab 0.14.0, developed by digua, is an open-source, local-first chat analysis utility that turns raw message archives from LINE, WeChat, QQ, WhatsApp, Instagram and Discord into explorable social datasets without ever uploading content to external servers. Built for journalists, researchers, digital archivists and curious users who need to quantify personal or group communication patterns, the program ingests exported chat logs, normalizes their disparate formats through an internal abstraction layer, and stores everything in a local SQLite database that can be queried with standard SQL or interrogated through an embedded AI agent equipped with ten function-calling tools. A stream-computing, multi-threaded engine keeps the interface responsive even when millions of messages are loaded, while live dashboards render activity heat-maps, hourly distribution curves, member-rank charts and keyword timelines that can be exported as images or CSV. Because analysis runs entirely on the host machine—except for optional cloud LLM calls—users retain full control over sensitive conversations. The project, presently at its eighth public build, remains in early iteration, so rough edges and unfinished features are expected; feedback is welcomed on the repository tracker. Planned updates promise support for Messenger and iMessage logs, additional visualizations and more AI scheduling options. ChatLab is categorized under Database & Analytics Software and is available free of charge from get.nero.com, where the latest 0.14.0 installer is delivered through trusted Windows package sources such as winget, supports batch installation alongside other applications, and is always updated to the newest release.
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