head to head · open source
headroom vs daily_stock_analysis
headroom has 78,657 GitHub stars, 6,141 forks, 643 open issues and last shipped yesterday. daily_stock_analysis has 67,454 stars, 55,858 forks, 44 open issues and last shipped yesterday. headroom leads on adoption by 17% (78,657 vs 67,454 stars). headroom is written in Python under Apache-2.0; daily_stock_analysis is written in Python under MIT. headroom has attracted 8% as many forks as stars, daily_stock_analysis 83%. 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
| headroom | daily_stock_analysis | |
|---|---|---|
| GitHub stars | ★ 79K | ★ 67K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 6.1K | ⑂ 56K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick headroom if
- You weight community size — 79K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About headroom
Quickstart · Install · Proof · Agents · Docs · Discord · llms.txt AI agents / LLMs: read /llms.txt here, or fetch the live index · full docs blob . Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. Same answers, fraction of the tokens. Compression runs on your machine; no prompt or file content is sent anywhere to be compressed. 10,144 → 1,260 tokens. The same FATAL found. What it does Library — compress(messages) in Python or TypeScript, inline in any app. Proxy — headroom proxy port 8787 , zero code changes, any…
read the full headroom 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 headroom or daily_stock_analysis more popular?
headroom has 78,657 GitHub stars and daily_stock_analysis has 67,454. headroom has the larger community by that measure.
Are headroom and daily_stock_analysis free?
Both are open source. headroom is licensed under Apache-2.0 and daily_stock_analysis under MIT. Neither carries a licence fee.
What is the difference between headroom and daily_stock_analysis?
headroom is written in Python 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, headroom or daily_stock_analysis?
Choose headroom if you want the larger community (78,657 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.