head to head · open source

graphify vs dashi-ppt-skill

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. dashi-ppt-skill has 8,382 stars, 764 forks, 15 open issues and last shipped 6 days ago. graphify leads on adoption by 1,321% (119,123 vs 8,382 stars). graphify is written in Python under Apache-2.0; dashi-ppt-skill is written in JavaScript under AGPL-3.0. graphify has attracted 10% as many forks as stars, dashi-ppt-skill 9%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (claude-code), 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.

graphify ★ 119K dashi-ppt-skill ★ 8.4K category AI & Machine Learning

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Side by side

graphify dashi-ppt-skill
GitHub stars ★ 119K ★ 8.4K
License Apache-2.0 AGPL-3.0
Written in Python JavaScript
Last push 2026-09-16 2026-09-12
Forks ⑂ 12K ⑂ 764
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 dashi-ppt-skill if

  • You want the dashi-ppt-skill feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches JavaScript
  • You evaluated both and dashi-ppt-skill fits your workflow better

full dashi-ppt-skill 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 dashi-ppt-skill

Dashi PPT Skill is an AI agent skill that turns documents into browser editable presentations across 12 visual themes, with one click export to HTML, PDF, and editable PPTX.

read the full dashi-ppt-skill overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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dify vs graphify langchain vs graphify ponytail vs graphify dify vs langchain dify vs ponytail langchain vs ponytail dify vs claude-mem dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

graphify vs Dify graphify vs langchain graphify vs ponytail graphify vs generative-ai-for-beginners graphify vs claude-mem graphify vs ragflow graphify vs PaddleOCR graphify vs Agent-Reach graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM

Frequently asked questions

Is graphify or dashi-ppt-skill more popular?

graphify has 119,123 GitHub stars and dashi-ppt-skill has 8,382. graphify has the larger community by that measure.

Are graphify and dashi-ppt-skill free?

Both are open source. graphify is licensed under Apache-2.0 and dashi-ppt-skill under AGPL-3.0. Neither carries a licence fee.

What is the difference between graphify and dashi-ppt-skill?

graphify is written in Python and dashi-ppt-skill in JavaScript. 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 dashi-ppt-skill?

Choose graphify if you want the larger community (119,123 stars) or its Apache-2.0 licence terms. Choose dashi-ppt-skill if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.