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  3. vllm-project
  4. vllm
PythonVisible projectFresh activityNo linked package signalPartial snapshot

vllm-project/vllm

Rank not captured·Top 100·All-time stars·◐Cached ranking snapshot·Updated Sep 11, 2026

A high-throughput and memory-efficient inference and serving engine for LLMs

Compare closest alternativesOpen GitHub

First read

Visible and active, but adoption proof is still thinner

vllm-project/vllm has enough public attention and recent movement to stay on the shortlist, but package usage is still partial, so the next step should be source and ecosystem validation rather than a quick yes.

Visible

91.4K public stars in the current GitStar snapshot.

Recognizable in the ecosystem

Active

Last commit Sep 11, 2026.

Fresh activity

Adopted

Treat stars as discovery context until a linked package appears.

No linked package mapping

Confidence

One or more key signals are partial, so GitStar keeps the interpretation conservative.

Partial snapshot

Snapshot facts

  • 91.4K stars
  • 22K forks
  • Last commit Sep 11, 2026
  • Package usage not mapped yet

Compare lens

huggingface/transformers and ollama/ollama are the closest comparison targets GitStar found. A side-by-side comparison usually tells you more than a single raw rank.

Signal trail

Trajectory

Read the recent motion first. This block is for deciding whether the repository still looks alive, compounding, or flattening before you trust stars alone.

Daily momentum
+74
Weekly momentum
+526
Monthly momentum
+2.6K
Last commit
Sep 11, 2026

Package reality

No linked npm or PyPI package is mapped for this repository yet, so the page leans more heavily on GitHub-visible popularity and should be read more conservatively.

GitStar expects a package signal here, but no npm or PyPI package is linked to this repository yet.

Hype vs Reality
Insufficient Package Data
Package mapping
No linked package yet
Cross-links
Standalone repo read

Validation note

GitStar can summarize public signals for vllm-project/vllm, but the GitHub repository is still the primary place to confirm release cadence, issue activity, and maintainer intent.

amdblackwellcudadeepseekdeepseek-v3gptgpt-ossinferencekimillamallmllm-servingmodel-servingmoeopenaipytorchqwenqwen3tputransformer
🐙Polyglot
🛡️ Editorial Context

GitStar surfaces public popularity and package signals. These rankings are not endorsements, security reviews, or investment advice.

Why this rank

This repository stands out because it combines 74 daily momentum and fresh update.

74 daily momentumFresh updateStable visibility
📈 Momentum & Adoption Signals
Approximate star trajectory

Reconstructed from current stars and cached daily/weekly/monthly deltas.

Now: 91.4K
30d ago7d ago1d agoNow
Daily momentum
+74
Weekly momentum
+526
Monthly momentum
+2.6K
Signal mix (log-scaled for readability)
Current stars91.4K
30d star gain2.6K
🧭 Hype vs Reality
Insufficient Package Data

GitStar can see repository momentum, but it does not have a reliable linked package signal yet.

Treat stars and recent movement as discovery context only until npm or PyPI usage is available.

Status
Insufficient Package Data
Package footprint
No linked npm or PyPI usage signal
Method note
This label appears when GitStar cannot find strong enough package telemetry to compare attention against adoption. Compare it against other Python repos before treating stars as a moat.
📐 Read the Hype vs Reality heuristic
Related alternative

huggingface/transformers

Overlaps on topics such as deepseek and llm, which makes it a stronger alternative than a random popularity neighbor.

CompareOpen detail
Related alternative

ollama/ollama

Overlaps on topics such as deepseek and gpt-oss, which makes it a stronger alternative than a random popularity neighbor.

CompareOpen detail
Related alternative

langgenius/dify

Overlaps on topics such as deepseek and gpt, which makes it a stronger alternative than a random popularity neighbor.

CompareOpen detail
Related alternative

Significant-Gravitas/AutoGPT

Overlaps on topics such as gpt and llm, which makes it a stronger alternative than a random popularity neighbor.

CompareOpen detail
Research links

Cross-links

Compare against related repos

GitStar picked transformers + ollama as the closest next comparison from the related repository set.

Open compare presetCompare with transformersCompare with ollama
Repo utility

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Wider nearby ecosystem

Compare with transformersCompare with ollama
Python
165.1K stars
huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Go
180.6K stars
ollama/ollama

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

TypeScript
155.4K stars
langgenius/dify

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Python
187.2K stars
Significant-Gravitas/AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

HTML
169.9K stars
f/prompts.chat

f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

Python
244.2K stars
NousResearch/hermes-agent

The agent that grows with you

Next step after the validation read

Move into a compare preset, organization view, or the heuristic notes once this first fold tells you whether the repo looks visible, active, adopted, and credible enough to keep researching.
Compare the closest alternativesView the organizationRead the heuristic

Learn and methodology

Keep trust-building context reachable, but behind the first data read instead of ahead of it.
GuideMethodologyArticlesWeekly Digest

About This Page

This page provides a quick overview of vllm-project/vllm based on GitStar's cached data. The signal chart reconstructs approximate checkpoints from current stars plus cached daily, weekly, and monthly star deltas, so it is best read as directional context rather than as a precise historical audit log.

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