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meamaturinlove221/TuringResearch_plus

Turn messy research goals into evidence ledgers, method cards, experiment routes, artifact audits, and advisor-ready reports.

Visit GitHub
Python
57
5
1 contributors
Custom license
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Momentum

How fast meamaturinlove221/TuringResearch_plus is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 8 – Oct 24, 2026

Stars +0 in 47 days

01

Forks +0 in 47 days

01

Merged PRs 0 in 47 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 8Sep 14Sep 20Sep 26Oct 2Oct 8Oct 14Oct 20
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
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  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 91 post

    • AI research is messy. TuringResearch keeps the receipts. Local research workflow that turns chaos into structure: - Splits work into goals, evidence, methods, experiments - Step-by-step modules per…

      Read full on X, posted by @so_sthbryan

      @so_sthbryan · x.com

  2. Jun 71 post

    • 将混乱的研究目标转化为结构化的证据账本、方法卡片、实验路线图和导师可读的报告 TuringResearch 是个跑在本地的科研流程工具，管的是 AI 辅助研究里那些烦心事：目标反复改、结果对不上、产物乱作一团。它把研究拆成接收目标、记录证据、管文献、定假设、写实验方案、审产物、生成报告这几个环节，每步都有对应的模块。Python 3.11+ 写的，走 MCP 协议，代码和文档都在本地存着。

      Read full on X, posted by @QingQ77

      @QingQ77 · x.com

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