GitNova

GitHub seismograph — discoveries and growing interest

vllm-project/vllm

Language modelsPython#gpt#llm#pytorch#model-serving#transformer
Total stars
93,326
Today · UTC
+7since 11:04 UTC
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A high-throughput and memory-efficient inference and serving engine for LLMs

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About the project

A high-throughput and memory-efficient inference and serving engine for large language models, using PagedAttention for KV-cache management. Supports 200+ model architectures and an OpenAI-compatible API.

Useful for
  • Deploy an OpenAI-compatible server for a local LLM
  • Speed up model inference with continuous batching and PagedAttention
  • Serve a multimodal or MoE Hugging Face model on your own GPUs

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

2.8 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 7, 2026, 12:58 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

075150July 10, 2026October 7, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-07 (UTC), 11:04–12:42: 93319 → 93326 stars (+7). This is the change over that interval.
  • Estimated end-of-day forecast: about +25 stars, using observed gains and the previous day.
  • GitHub Trending Python today: #12, +73 stars.
  • About 35 forks a day — people are taking the code.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
93,326
Today
+7 stars measured 2026-10-07, 11:04–12:42 UTC, ≈ 25 by evening
Forks
23,079
Issues and pull requests
59,568
Watchers
599
Language
Python
License
Apache-2.0
Latest release
v0.31.0 · October 5, 2026
Created
February 9, 2023
Last push
October 7, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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GitNova: 2.8
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