head to head · open source

Dify vs TradingAgents-astock

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. TradingAgents-astock has 3,889 stars, 975 forks, 14 open issues and last shipped 4 days ago. Dify leads on adoption by 4,021% (160,251 vs 3,889 stars). Dify is written in Python under a custom or non-standard licence; TradingAgents-astock is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, TradingAgents-astock 25%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude, llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Dify ★ 160K TradingAgents-astock ★ 3.9K category AI & Machine Learning

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Side by side

Dify TradingAgents-astock
GitHub stars ★ 160K ★ 3.9K
License Custom / other Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-10-30
Forks ⑂ 25K ⑂ 975
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 160K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Dify profile →

pick TradingAgents-astock if

  • You want the TradingAgents-astock feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and TradingAgents-astock fits your workflow better

full TradingAgents-astock profile →

About Dify

Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…

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About TradingAgents-astock

简体中文 English TradingAgents Astock 基于 TauricResearch/TradingAgents (65K ⭐)的 A 股深度特化 fork 全 Apache 2.0 开源 · pip install 即跑 · 零外部服务依赖 ⚠️ 本项目是 TradingAgents 论文 框架的工程实现与研究复现,面向研究与教学。 不构成任何投资建议,也不提供任何投资服务。 为什么做这个 Fork · 与上游对比 · 架构概览 · Analyst 角色 · 数据源 · 快速开始 · Web UI · 排错 为什么做这个 Fork 原版 TradingAgents 是一个出色的多 Agent 投研框架,但它针对美股设计:数据走 Yahoo Finance / Alpha Vantage,分析师不懂 A 股制度,辩论和决策完全面向美股市场。 本 Fork 的目标 :把 TradingAgents 的多 Agent 辩论架构真正落地到 A 股,不是简单翻译,而是从数据层、Agent 角色、交易规则三个维度做深度特化。 核心改造 与上游对比 架构概览 双 LLM 设计 : quick think llm :所有 Analyst、Researcher、Trader、Risk Debater deep think llm :Research Manager 和 Portfolio…

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Frequently asked questions

Is Dify or TradingAgents-astock more popular?

Dify has 160,251 GitHub stars and TradingAgents-astock has 3,889. Dify has the larger community by that measure.

Are Dify and TradingAgents-astock free?

Both are open source. Dify has no licence declared in this registry, and TradingAgents-astock is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and TradingAgents-astock?

Dify is written in Python and TradingAgents-astock in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Dify or TradingAgents-astock?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose TradingAgents-astock if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.