head to head · open source
daily_stock_analysis vs langgraph
daily_stock_analysis has 65,223 GitHub stars, 54,579 forks, 44 open issues and last shipped 6 days ago. langgraph has 41,863 stars, 7,069 forks, 786 open issues and last shipped yesterday. daily_stock_analysis leads on adoption by 56% (65,223 vs 41,863 stars). daily_stock_analysis is written in Python under MIT; langgraph is written in Python under MIT. daily_stock_analysis has attracted 84% as many forks as stars, langgraph 17%. langgraph 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 | langgraph | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 42K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-13 | 2026-09-18 |
| Forks | ⑂ 55K | ⑂ 7.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick daily_stock_analysis if
- You weight community size — 65K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick langgraph if
- You want the langgraph feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and langgraph fits your workflow better
About daily_stock_analysis
daily stock analysis is an MIT licensed Python system that uses large language models to analyse self selected stocks across the A share, Hong Kong, US, Japanese, Korean and Taiwanese markets and push a daily decision dashboard to chat and email channels, aimed at individual investors and quant minded developers who want scheduled AI analysis without operating a server.
read the full daily_stock_analysis overview →
About langgraph
LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.
read the full langgraph overview →
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Frequently asked questions
Is daily_stock_analysis or langgraph more popular?
daily_stock_analysis has 65,223 GitHub stars and langgraph has 41,863. daily_stock_analysis has the larger community by that measure.
Are daily_stock_analysis and langgraph free?
Both are open source. daily_stock_analysis is licensed under MIT and langgraph under MIT. Neither carries a licence fee.
What is the difference between daily_stock_analysis and langgraph?
daily_stock_analysis is written in Python and langgraph 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 langgraph?
Choose daily_stock_analysis if you want the larger community (65,223 stars) or its MIT licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.