# tbl00c/TLChat

高仿微信

Repository: https://github.com/tbl00c/TLChat
Canonical: https://ross.abutalabs.com/products/tlchat
Language: Objective-C
License: MIT
License Family: permissive
Topics: im, wechat
Last push: 2020-01-29T12:42:03+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3873, "days_push": 2408, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1471, forks 561 (observed 2026-08-28T04:04:49.303225+00:00)

## What it is
TLChat is an iOS application that closely replicates the WeChat user interface and core features, built on the TLKit and ZZFLEX libraries. It serves as a reference implementation and UI template for building messaging apps in Objective-C.

## Use cases
- build a wechat-like chat app on ios
- study ios messaging app architecture
- learn objective-c chat ui implementation
- reuse chat interface components in my ios app
- implement contact list and message list with sqlite storage
- reference for custom chat keyboard and emoji features

## When to choose
- you want a full-featured WeChat-style iOS UI reference in Objective-C
- you need working examples of chat, contacts, moments, and settings screens
- you want to learn from a modular iOS app template using TLKit and ZZFLEX

## When to avoid
- you need a production-ready messaging backend or real IM service
- you are building for Android or cross-platform
- you prefer Swift or modern iOS development practices
- you need actively maintained code with recent updates

## Facets
- artifact type: application
- maturity: maintenance
- function: chat-interface, ui-components, gui, file-system
- domain: mobile-development, messaging-platforms, chatbots
- platform: -
- tags: wechat-clone, im, objective-c, ui-template, chat-app, demo-app, ios, mobile

## Member repositories
- tbl00c/TLChat (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.303225+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:34:46.909551+00:00, confidence not recorded.
  - readme: https://github.com/tbl00c/TLChat (fetched 2026-08-28T04:04:49.303225+00:00, sha 8d289893f8bf)
- Data as of 2026-08-30T08:39:29.467469+00:00.