Explain:
Ollama is the most widely used tool for running large language models locally, with over 130k GitHub stars. It has become the standard way developers run and interact with LLMs on their own machines.
How It Differs
There is no similar entry for local LLM inference in the Machine Learning section. LangChain and LlamaIndex focus on building LLM applications, while Ollama focuses on running the models themselves locally.
🔄 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/2939
**Author:** [@CarlosAlbertoFurtado](https://github.com/CarlosAlbertoFurtado)
**Created:** 3/2/2026
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `add-ollama`
---
### 📝 Commits (1)
- [`e9897ec`](https://github.com/vinta/awesome-python/commit/e9897ecd07b0d55d47f8b8d639201f23e98fffa8) Add Ollama to Machine Learning section
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## Project
[Ollama](https://github.com/ollama/ollama)
## Checklist
- [x] One project per PR
- [x] PR title format: `Add project-name`
- [x] Entry format: `* [project-name](url) - Description ending with period.`
- [x] Description is concise and short
## Why This Project Is Awesome
Which criterion does it meet? (pick one)
- [x] **Industry Standard** - The go-to tool for a specific use case
- [ ] **Rising Star** - 5000+ stars in < 2 years, significant adoption
- [ ] **Hidden Gem** - Exceptional quality, solves niche problems elegantly
Explain:
Ollama is the most widely used tool for running large language models locally, with over 130k GitHub stars. It has become the standard way developers run and interact with LLMs on their own machines.
## How It Differs
There is no similar entry for local LLM inference in the Machine Learning section. LangChain and LlamaIndex focus on building LLM applications, while Ollama focuses on running the models themselves locally.
---
<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/2939
Author: @CarlosAlbertoFurtado
Created: 3/2/2026
Status: ❌ Closed
Base:
master← Head:add-ollama📝 Commits (1)
e9897ecAdd Ollama to Machine Learning section📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
Project
Ollama
Checklist
Add project-name* [project-name](url) - Description ending with period.Why This Project Is Awesome
Which criterion does it meet? (pick one)
Explain:
Ollama is the most widely used tool for running large language models locally, with over 130k GitHub stars. It has become the standard way developers run and interact with LLMs on their own machines.
How It Differs
There is no similar entry for local LLM inference in the Machine Learning section. LangChain and LlamaIndex focus on building LLM applications, while Ollama focuses on running the models themselves locally.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.