head to head · open source
Dify vs a-stock-data
Dify has 156,215 GitHub stars, 24,668 forks, 1,067 open issues and last shipped today. a-stock-data has 9,928 stars, 1,814 forks, 5 open issues and last shipped 2 days ago. Dify leads on adoption by 1,473% (156,215 vs 9,928 stars). Dify is written in TypeScript under a custom or non-standard licence; a-stock-data is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, a-stock-data 18%. Dify 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
| Dify | a-stock-data | |
|---|---|---|
| GitHub stars | ★ 156K | ★ 9.9K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-18 | 2026-09-16 |
| Forks | ⑂ 25K | ⑂ 1.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 156K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick a-stock-data if
- You want the a-stock-data feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and a-stock-data fits your workflow better
About Dify
Dify is an open source LLM application development platform built in TypeScript. It provides a visual interface for designing, testing, and deploying AI workflows, RAG pipelines, and agentic systems without writing extensive code. The platform lives in the generative AI development ecosystem and targets teams needing to move from prototype to production using consistent tooling across environments.
About a-stock-data
a stock data is a self contained AI Skill file, published under Apache 2.0, that consolidates raw China A share market data from 22 sources into 60 endpoints an AI coding assistant can call directly, and it is aimed at quantitative researchers, investment analysts and developers who want A share data inside an LLM workflow without writing their own scraping and authentication code.
read the full a-stock-data overview →
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Frequently asked questions
Is Dify or a-stock-data more popular?
Dify has 156,215 GitHub stars and a-stock-data has 9,928. Dify has the larger community by that measure.
Are Dify and a-stock-data free?
Both are open source. Dify has no licence declared in this registry, and a-stock-data is licensed under Apache-2.0. Both are free to self-host.
What is the difference between Dify and a-stock-data?
Dify is written in TypeScript and a-stock-data 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, Dify or a-stock-data?
Choose Dify if you want the larger community (156,215 stars) or its Custom / other licence terms. Choose a-stock-data if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.