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Dorothy vs VNPy

A side-by-side comparison of pricing, ratings, features, pros and cons.

Dorothy
Dorothycharlie85270Open Source
DescriptionAn open-source desktop app to orchestrate multiple AI CLI agents simultaneously with automations and Kanban management. #opensourceA comprehensive open-source quantitative trading framework in Python, supports strategy backtesting, live trading across multiple exchanges, and integrates AI/LLM capabilities for financial market analysis and strategy development. Widely used by quant traders in China.
Category
Developercharlie85270
Verified StatusNoNo
Last UpdatedSep 2026Sep 2026
Pricing ModelOpen SourceFree
Free PlanYesYes
Open SourceYesNo
Features
Orchestrates 10+ AI coding agents (Claude Code, Codex, Gemini, Grok, local models) simultaneously
Each agent runs in its own isolated, full-PTY terminal session
Kanban board for visual task management with automatic agent assignment
Cron-based scheduling for recurring autonomous agent work
A "Super Agent" delegates and coordinates tasks across other agents via MCP tools
Remote control via Telegram and Slack, plus triggers from GitHub PRs and issues
Free and open source
Tags
dorothydesktoporchestratemultipleopen-source
tradingstrategyvnpycomprehensiveopen-source
Review Count00
Saves00
Views10899
Quality Score70/10062/100
Website StatusOnlineOnline
Websitegithub.comgithub.com
Social Links1 linked1 linked
ScreenshotsYesNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose Dorothy if:

  • Free to use

Choose VNPy if:

  • Free to use

Screenshots

DorothyDorothy

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

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