head to head · open source
daily_stock_analysis vs qwen-code
daily_stock_analysis has 67,516 GitHub stars, 55,879 forks, 44 open issues and last shipped 2 days ago. qwen-code has 28,987 stars, 3,308 forks, 1,422 open issues and last shipped yesterday. daily_stock_analysis leads on adoption by 133% (67,516 vs 28,987 stars). daily_stock_analysis is written in Python under MIT; qwen-code is written in TypeScript under Apache-2.0. daily_stock_analysis has attracted 83% as many forks as stars, qwen-code 11%. qwen-code was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agent, 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.
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Side by side
| daily_stock_analysis | qwen-code | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 29K |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-03 | 2026-11-04 |
| Forks | ⑂ 56K | ⑂ 3.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick daily_stock_analysis if
- You weight community size — 68K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick qwen-code if
- You want the qwen-code feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and qwen-code fits your workflow better
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 →
About qwen-code
The open source AI coding agent for your terminal, editor, desktop, browser, and chat. 中文 Deutsch français 日本語 Русский Português (Brasil) 한국어 Why Qwen Code? Agentic out of the box — Auto Memory, Auto Skills, SubAgents, Agent Teams, and MCP. Dynamic workflows, zero setup. Open source, inside and out — The framework and the Qwen models are open source. They evolve together. No vendor lock in. Multi protocol — Supports OpenAI, Anthropic, Gemini, and Qwen APIs. Any third party provider or local model (Ollama / vLLM). Switch at runtime. Beyond the terminal — IDE plugins, Desktop app, Web UI, SDKs, and chat…
read the full qwen-code overview →
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Frequently asked questions
Is daily_stock_analysis or qwen-code more popular?
daily_stock_analysis has 67,516 GitHub stars and qwen-code has 28,987. daily_stock_analysis has the larger community by that measure.
Are daily_stock_analysis and qwen-code free?
Both are open source. daily_stock_analysis is licensed under MIT and qwen-code under Apache-2.0. Neither carries a licence fee.
What is the difference between daily_stock_analysis and qwen-code?
daily_stock_analysis is written in Python and qwen-code in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, daily_stock_analysis or qwen-code?
Choose daily_stock_analysis if you want the larger community (67,516 stars) or its MIT licence terms. Choose qwen-code if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.