head to head · open source

ragflow vs guizang-ppt-skill

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. guizang-ppt-skill has 26,623 stars, 1,856 forks, 44 open issues and last shipped 1 months ago. ragflow leads on adoption by 242% (91,015 vs 26,623 stars). ragflow is written in Go under Apache-2.0; guizang-ppt-skill is written in HTML under AGPL-3.0. ragflow has attracted 12% as many forks as stars, guizang-ppt-skill 7%. ragflow 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.

ragflow ★ 91K guizang-ppt-skill ★ 27K category AI & Machine Learning

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Side by side

ragflow guizang-ppt-skill
GitHub stars ★ 91K ★ 27K
License Apache-2.0 AGPL-3.0
Written in Go HTML
Last push 2026-09-20 2026-08-07
Forks ⑂ 11K ⑂ 1.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 91K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow profile →

pick guizang-ppt-skill if

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

full guizang-ppt-skill profile →

About ragflow

RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.

read the full ragflow overview →

About guizang-ppt-skill

guizang ppt skill is an AI agent Skill, licensed AGPL 3.0, that turns articles, Markdown, or raw ideas into single file HTML slide decks with editorial magazine or Swiss layouts, matching images, and social covers — built for people who present: conference speakers, product teams at launch and demo days, and anyone who wants a strongly personal visual style rather than a corporate template.

read the full guizang-ppt-skill overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all

More AI Development Platforms projects

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

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

Frequently asked questions

Is ragflow or guizang-ppt-skill more popular?

ragflow has 91,015 GitHub stars and guizang-ppt-skill has 26,623. ragflow has the larger community by that measure.

Are ragflow and guizang-ppt-skill free?

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

What is the difference between ragflow and guizang-ppt-skill?

ragflow is written in Go and guizang-ppt-skill in HTML. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ragflow or guizang-ppt-skill?

Choose ragflow if you want the larger community (91,015 stars) or its Apache-2.0 licence terms. Choose guizang-ppt-skill if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.