firecrawl vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | ollama | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 147k | 176k |
| Forks | 8.5k | 17k |
| Open issues | 387 | 3.4k |
| Language | TypeScript | Go |
| License | AGPL-3.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, AI Agents | AI Agents, LLM Frameworks |
firecrawl
Firecrawl is an open-source web context API aimed at finding sources, extracting content, and converting it into clean Markdown or structured data. It focuses on reliability, speed, and LLM-ready output formats.
TypeScript
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go