---
title: "reasoning-from-scratch vs TradingAgents"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/rasbt-reasoning-from-scratch-vs-tauricresearch-tradingagents"
tools: ["rasbt-reasoning-from-scratch", "tauricresearch-tradingagents"]
---

# reasoning-from-scratch vs TradingAgents

Neutral, constraint-first comparison with live GitHub stats.

| | [reasoning-from-scratch](/tools/rasbt-reasoning-from-scratch.md) | [TradingAgents](/tools/tauricresearch-tradingagents.md) |
| --- | --- | --- |
| Tagline | Implement a reasoning LLM in PyTorch from scratch, step by step | TradingAgents: Multi-Agents LLM Financial Trading Framework |
| Stars | 4,693 | 91,619 |
| Forks | 699 | 17,703 |
| Open issues | 2 | 279 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Model Training, LLM Frameworks | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=rasbt-reasoning-from-scratch`](/api/graphcanon/graph?tool=rasbt-reasoning-from-scratch)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

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