head to head · open source
daily_stock_analysis vs DB-GPT
daily_stock_analysis has 65,334 GitHub stars, 54,651 forks, 44 open issues and last shipped yesterday. DB-GPT has 20,014 stars, 2,936 forks, 439 open issues and last shipped 4 days ago. daily_stock_analysis leads on adoption by 226% (65,334 vs 20,014 stars). daily_stock_analysis is written in Python under MIT; DB-GPT is written in Python under MIT. daily_stock_analysis has attracted 84% as many forks as stars, DB-GPT 15%. 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 | DB-GPT | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 20K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-09-19 | 2026-09-16 |
| Forks | ⑂ 55K | ⑂ 2.9K |
| 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 DB-GPT if
- You want the DB-GPT feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and DB-GPT 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 DB-GPT
DB GPT is an open source, MIT licensed agentic AI data assistant written in Python that connects to databases, CSV and Excel files, warehouses, and knowledge bases so large language models can write SQL and code, run reusable skills in sandboxed environments, and turn analysis into charts, dashboards, HTML reports, and written insights.
read the full DB-GPT overview →
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Frequently asked questions
Is daily_stock_analysis or DB-GPT more popular?
daily_stock_analysis has 65,334 GitHub stars and DB-GPT has 20,014. daily_stock_analysis has the larger community by that measure.
Are daily_stock_analysis and DB-GPT free?
Both are open source. daily_stock_analysis is licensed under MIT and DB-GPT under MIT. Neither carries a licence fee.
What is the difference between daily_stock_analysis and DB-GPT?
daily_stock_analysis is written in Python and DB-GPT 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 DB-GPT?
Choose daily_stock_analysis if you want the larger community (65,334 stars) or its MIT licence terms. Choose DB-GPT if its feature set, stack or MIT licence fits better. Both are self-hostable.