head to head · open source
daily_stock_analysis vs graphrag
daily_stock_analysis has 65,223 GitHub stars, 54,579 forks, 44 open issues and last shipped 6 days ago. graphrag has 36,022 stars, 3,795 forks, 47 open issues and last shipped 3 days ago. daily_stock_analysis leads on adoption by 81% (65,223 vs 36,022 stars). daily_stock_analysis is written in Python under MIT; graphrag is written in Python under MIT. daily_stock_analysis has attracted 84% as many forks as stars, graphrag 11%. graphrag 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 | graphrag | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 36K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-13 | 2026-09-16 |
| Forks | ⑂ 55K | ⑂ 3.8K |
| 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 graphrag if
- You want the graphrag feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and graphrag 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 graphrag
GraphRAG is a modular, Python based, MIT licensed data pipeline and transformation suite from Microsoft Research that uses large language models to extract structured data from unstructured text, then exploits the resulting knowledge graph to form targeted context for question answering over private data.
read the full graphrag overview →
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Frequently asked questions
Is daily_stock_analysis or graphrag more popular?
daily_stock_analysis has 65,223 GitHub stars and graphrag has 36,022. daily_stock_analysis has the larger community by that measure.
Are daily_stock_analysis and graphrag free?
Both are open source. daily_stock_analysis is licensed under MIT and graphrag under MIT. Neither carries a licence fee.
What is the difference between daily_stock_analysis and graphrag?
daily_stock_analysis is written in Python and graphrag 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 graphrag?
Choose daily_stock_analysis if you want the larger community (65,223 stars) or its MIT licence terms. Choose graphrag if its feature set, stack or MIT licence fits better. Both are self-hostable.