head to head · open source

graphify vs daily_stock_analysis

graphify has 118,991 GitHub stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. daily_stock_analysis has 65,204 stars, 54,570 forks, 44 open issues and last shipped 5 days ago. graphify leads on adoption by 82% (118,991 vs 65,204 stars). graphify is written in Python under Apache-2.0; daily_stock_analysis is written in Python under MIT. graphify has attracted 10% as many forks as stars, daily_stock_analysis 84%. graphify 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.

graphify ★ 119K daily_stock_analysis ★ 65K category AI & Machine Learning

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Side by side

graphify daily_stock_analysis
GitHub stars ★ 119K ★ 65K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-13
Forks ⑂ 12K ⑂ 55K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 119K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick daily_stock_analysis if

  • You want the daily_stock_analysis feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and daily_stock_analysis fits your workflow better

full daily_stock_analysis profile →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

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 →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Frequently asked questions

Is graphify or daily_stock_analysis more popular?

graphify has 118,991 GitHub stars and daily_stock_analysis has 65,204. graphify has the larger community by that measure.

Are graphify and daily_stock_analysis free?

Both are open source. graphify is licensed under Apache-2.0 and daily_stock_analysis under MIT. Neither carries a licence fee.

What is the difference between graphify and daily_stock_analysis?

graphify is written in Python and daily_stock_analysis 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, graphify or daily_stock_analysis?

Choose graphify if you want the larger community (118,991 stars) or its Apache-2.0 licence terms. Choose daily_stock_analysis if its feature set, stack or MIT licence fits better. Both are self-hostable.