Community: Widely used in production for LLM inference
Unique value: Provides high-throughput, memory-efficient LLM serving with PagedAttention
Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. It has become the go-to solution for serving large language models in production environments.
Quality Requirements
Python-first (Python codebase with Rust/C++ for performance)
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2892
**Author:** [@njg7194](https://github.com/njg7194)
**Created:** 2/1/2026
**Status:** ✅ Merged
**Merged:** 2/1/2026
**Merged by:** [@JinyangWang27](https://github.com/JinyangWang27)
**Base:** `master` ← **Head:** `add-vllm`
---
### 📝 Commits (1)
- [`b450457`](https://github.com/vinta/awesome-python/commit/b4504573591da6d9ef6c9e2e8efefdffdbff1eb9) Add vllm to Deep Learning section
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## Rising Star Submission
**Project:** [vllm](https://github.com/vllm-project/vllm)
**Category:** Deep Learning
### Acceptance Criteria Met: Rising Star
- **Stars:** 69,000+ GitHub stars
- **Growth:** Gained massive adoption since 2023
- **Community:** Widely used in production for LLM inference
- **Unique value:** Provides high-throughput, memory-efficient LLM serving with PagedAttention
### Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. It has become the go-to solution for serving large language models in production environments.
### Quality Requirements
- [x] Python-first (Python codebase with Rust/C++ for performance)
- [x] Active (daily commits)
- [x] Stable (v0.7+ production ready)
- [x] Documented (comprehensive docs)
- [x] Unique (industry-leading PagedAttention technology)
- [x] Established (created Feb 2023)
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2892
Author: @njg7194
Created: 2/1/2026
Status: ✅ Merged
Merged: 2/1/2026
Merged by: @JinyangWang27
Base:
master← Head:add-vllm📝 Commits (1)
b450457Add vllm to Deep Learning section📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Rising Star Submission
Project: vllm
Category: Deep Learning
Acceptance Criteria Met: Rising Star
Description
vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. It has become the go-to solution for serving large language models in production environments.
Quality Requirements
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.