head to head · open source

ragflow vs daily_stock_analysis

ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. daily_stock_analysis has 67,454 stars, 55,858 forks, 44 open issues and last shipped yesterday. ragflow leads on adoption by 38% (93,365 vs 67,454 stars). ragflow is written in Go under Apache-2.0; daily_stock_analysis is written in Python under MIT. ragflow has attracted 12% as many forks as stars, daily_stock_analysis 83%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee.

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

ragflow ★ 93K daily_stock_analysis ★ 67K category AI & Machine Learning

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Side by side

ragflow daily_stock_analysis
GitHub stars ★ 93K ★ 67K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 11K ⑂ 56K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 93K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow profile →

pick daily_stock_analysis if

  • You want the daily_stock_analysis feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and daily_stock_analysis fits your workflow better

full daily_stock_analysis profile →

About ragflow

Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…

read the full ragflow overview →

About daily_stock_analysis

📈 股票智能分析系统 🤖 基于 AI 大模型的 A股/港股/美股/日股/韩股/台股自选股智能分析系统,每日自动分析并推送「决策仪表盘」到企业微信/飞书/Telegram/Discord/Slack/邮箱 产品预览 · 功能特性 · 快速开始 · 推送效果 · 文档中心 · 完整指南 简体中文 English 繁體中文 💖 赞助商 (Sponsors) 🖥️ 产品预览 ✨ 功能特性 功能细节、字段契约、基本面 P0 超时语义、交易纪律、数据源优先级、Web/API 行为请看 完整配置与部署指南。 技术栈与数据来源 项目默认内置 AkShare、Baostock、YFinance 等免费行情源,可零配置运行;免费源受上游限流、接口变动和网络波动影响,稳定性不保证。长期定时、批量分析或更稳定行情建议配置 TickFlow、Tushare、Longbridge 等 token 型数据源,适用市场、Actions 映射和 fallback 规则见 数据源配置。 🚀 快速开始 方式一:GitHub Actions(推荐) 5 分钟完成部署,零成本,无需服务器。 1. Fork 本仓库 点击右上角 Fork 按钮(顺便点个 Star⭐ 支持一下) 2. 配置 Secrets Settings → Secrets and variables → Actions → New repository secret AI…

read the full daily_stock_analysis overview →

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Frequently asked questions

Is ragflow or daily_stock_analysis more popular?

ragflow has 93,365 GitHub stars and daily_stock_analysis has 67,454. ragflow has the larger community by that measure.

Are ragflow and daily_stock_analysis free?

Both are open source. ragflow is licensed under Apache-2.0 and daily_stock_analysis under MIT. Neither carries a licence fee.

What is the difference between ragflow and daily_stock_analysis?

ragflow is written in Go and daily_stock_analysis 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, ragflow or daily_stock_analysis?

Choose ragflow if you want the larger community (93,365 stars) or its Apache-2.0 licence terms. Choose daily_stock_analysis if its feature set, stack or MIT licence fits better. Both are self-hostable.