head to head · open source
daily_stock_analysis vs humanizer
daily_stock_analysis has 67,516 GitHub stars, 55,879 forks, 44 open issues and last shipped 2 days ago. humanizer has 64,488 stars, 5,085 forks, 13 open issues and last shipped 8 days ago. daily_stock_analysis leads on adoption by 5% (67,516 vs 64,488 stars). daily_stock_analysis is written in Python under MIT; humanizer is written in Python under MIT. daily_stock_analysis has attracted 83% as many forks as stars, humanizer 8%. daily_stock_analysis was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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 | humanizer | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 64K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-10-28 |
| Forks | ⑂ 56K | ⑂ 5.1K |
| 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 humanizer if
- You want the humanizer feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and humanizer 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 humanizer
Humanizer Humanizer rewrites AI sounding text so it reads like a person wrote it, without changing what it says. Because it is just Markdown, it works with any agent that supports skills. Installation Install Humanizer with the Skills CLI: Leave off global to install Humanizer only in the current project. Add agent or agent ' ' to choose which agents receive it, then reload their skills. The skill answers to /humanizer . Claude Code 2.1.142 or newer can install the plugin instead: The plugin answers to /humanizer:humanizer . In Claude Desktop, download this repository as a ZIP and upload it as a skill. For a…
read the full humanizer overview →
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Frequently asked questions
Is daily_stock_analysis or humanizer more popular?
daily_stock_analysis has 67,516 GitHub stars and humanizer has 64,488. daily_stock_analysis has the larger community by that measure.
Are daily_stock_analysis and humanizer free?
Both are open source. daily_stock_analysis is licensed under MIT and humanizer under MIT. Neither carries a licence fee.
What is the difference between daily_stock_analysis and humanizer?
daily_stock_analysis is written in Python and humanizer 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, daily_stock_analysis or humanizer?
Choose daily_stock_analysis if you want the larger community (67,516 stars) or its MIT licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.