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iammrduncan/inference-benchmarks

This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.

#LLM evaluation
Visit GitHub
TypeScript
38
5
1 contributors
MIT License
website
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Momentum

How fast iammrduncan/inference-benchmarks 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 17 – Oct 27, 2026

Stars +11 in 41 days

0123
3

Forks +5 in 41 days

0246
5

Merged PRs 8 in 41 days

0510
7

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

Not in the Trendshift top 25 in this period

Sep 17Sep 23Sep 29Oct 5Oct 11Oct 17Oct 23
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
DayStars gainedForks gainedMerged PRs
Thu, Sep 17, 2026+0+50
Fri, Sep 18, 2026+3+00
Sat, Sep 19, 2026+0+00
Sun, Sep 20, 2026+2+00
Mon, Sep 21, 2026+3+00
Tue, Sep 22, 2026+1+00
Wed, Sep 23, 2026+0+00
Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+1+00
Sat, Sep 26, 2026+1+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
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Sat, Oct 17, 2026+0+07
Sun, Oct 18, 2026+0+01
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Tue, Oct 27, 2026+0+00
Total+11+58
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 181 post
    • #jev 结合cerebras/talaas可能有搞头,现有的jev 70~500ms 在实际应用中还是太慢,如果通过专有硬件的方式把时间进一步压缩成毫秒级,那就能够接入实时决策链路。当然也不知道 #TypesafeAI 后面的实现有没有接入专用硬件。这里有个拿cerebras版本的qwen3.8和jev比较的仓库:

      Read full on X, posted by @cfyfhqs

      @cfyfhqs · x.com

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