head to head · open source
daily_stock_analysis vs Multica
daily_stock_analysis has 65,223 GitHub stars, 54,579 forks, 44 open issues and last shipped 6 days ago. Multica has 50,346 stars, 6,512 forks, 1,538 open issues and last shipped yesterday. daily_stock_analysis leads on adoption by 30% (65,223 vs 50,346 stars). daily_stock_analysis is written in Python under MIT; Multica is written in Go under a custom or non-standard licence. daily_stock_analysis has attracted 84% as many forks as stars, Multica 13%. Multica was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Multica | |
|---|---|---|
| GitHub stars | ★ 65K | ★ 50K |
| License | MIT | Custom / other |
| Written in | Python | Go |
| Last push | 2026-09-13 | 2026-09-18 |
| Forks | ⑂ 55K | ⑂ 6.5K |
| 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 Multica if
- You want the Multica feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Multica 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 Multica
Multica is an open source project management platform designed for teams combining human developers and AI coding agents. It operates in the AI development ecosystem, providing a unified workspace where agents function as first class collaborators alongside people. The platform solves the problem of fragmented agent workflows: when using multiple AI tools like Claude Code, Codex, or Cursor in separate terminal sessions, context is lost between runs, coordination becomes manual, and oversight is difficult. Multica centralizes agent execution, assignment, and review into a single system where work flows from issue …
read the full Multica overview →
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Frequently asked questions
Is daily_stock_analysis or Multica more popular?
daily_stock_analysis has 65,223 GitHub stars and Multica has 50,346. daily_stock_analysis has the larger community by that measure.
Are daily_stock_analysis and Multica free?
Both are open source. daily_stock_analysis is licensed under MIT, and Multica has no licence declared in this registry. Both are free to self-host.
What is the difference between daily_stock_analysis and Multica?
daily_stock_analysis is written in Python and Multica in Go. 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 Multica?
Choose daily_stock_analysis if you want the larger community (65,223 stars) or its MIT licence terms. Choose Multica if its feature set, stack or Custom / other licence fits better. Both are self-hostable.