n8n vs banana-slides
Two of the top projects in Workflow automation with AI, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
n8n
Visual workflow automation with code steps, AI agent nodes and 1500+ integrations
banana-slides
AI slide deck generator that exports PPTX, PDF and narrated video
Verdict
n8n ranks higher, 77 to 50. Of the 3 score parts we measure for both, n8n leads on 3, banana-slides on none.
- Adoptionn8n leads by 87 points, 100 to 13: a wide gap.
- Freshnessn8n leads by 6 points, 100 to 94.
- MaintenanceWe do not score banana-slides on this; n8n has 92.
- Easy to runWe do not score banana-slides on this; n8n has 33.
- Agent-readyn8n leads by 40 points, 70 to 30: a wide gap.
Pick n8n if you are
Teams automating business workflows that include LLM steps
- 1500+ integrations and 9,000+ ready-made workflow templates
- Code nodes run JavaScript or Python and can pull npm packages
Pick banana-slides if you are
Users who want AI-generated, editable slide decks from prompts or documents
- Several providers: Gemini, OpenAI-format, Volcengine, Vertex AI and LazyLLM vendors like Qwen and DeepSeek
- Exports PPTX, PDF, editable PPTX (beta) and narrated MP4 with subtitles
| What we compare | n8n | banana-slides |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 100, widely used | 13, niche |
| Freshness | 100, active | 94, active |
| Maintenance | 92, healthy | Not scored for this kind |
| Easy to run | 33, some setup | Not scored for this kind |
| Agent-ready | 70, partly | 30, minimal |
| Facts from GitHub and the README | ||
| Stars | 207.4k | 15.7k |
| License | custom license (read the license) | AGPL-3.0 (copyleft) |
| Last commit | Oct 2026 | Oct 2026 |
| Last release | Oct 2026 | Feb 2026 |
| Language | TypeScript | TypeScript |
| Docker | Yes | Yes |
| GPU | Not needed | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
n8n
n8n is a fair-code workflow platform that runs as one Docker container (docker.n8n.io/n8nio/n8n, port 5678) and combines a visual canvas with JavaScript, Python and npm code nodes. AI agent and workflow nodes connect to OpenAI, Anthropic, Google or open-source models, with human-approval steps and observability, and 1500+ integrations plus 9,000+ templates cover the rest of the stack.
Who it is for: Teams automating business workflows that include LLM steps
Strengths
- 1500+ integrations and 9,000+ ready-made workflow templates
- Code nodes run JavaScript or Python and can pull npm packages
- Single container on port 5678 with one data volume
- Switch model providers without rebuilding the workflow
Weaknesses
- Sustainable Use License (fair-code, source-available), not an OSI license
- Some features require a separate n8n Enterprise License
- README states no database, RAM or CPU requirements
- no GPU
- Models: OpenAI, Anthropic, Google, open-source models
- port 5678
banana-slides
Banana Slides generates presentations from a topic, outline, page descriptions or uploaded PDF/Docx/MD/Txt files, rendering each page as an image with image-generation models such as Nano Banana Pro. Pages can be edited by natural-language instructions or box selection, and exported as PPTX, PDF, editable PPTX (beta) or an MP4 with TTS narration. It runs as a Flask backend plus a web frontend and needs an API key for a text/image provider.
Who it is for: Users who want AI-generated, editable slide decks from prompts or documents
Strengths
- Several providers: Gemini, OpenAI-format, Volcengine, Vertex AI and LazyLLM vendors like Qwen and DeepSeek
- Exports PPTX, PDF, editable PPTX (beta) and narrated MP4 with subtitles
- Edit pages by natural-language prompt or box selection; per-page templates supported
- Prebuilt Docker Hub images with a docker-compose.prod.yml, plus a CLI and agent skills
Weaknesses
- AGPL-3.0 license restricts use in closed-source hosted services
- Needs paid external image-generation API; README warns Nano Banana Pro calls are costly
- Editable PPTX export is beta; better results need a Baidu API key
- README is mostly Chinese; desktop build is at release-candidate stage (v0.9.0-rc.7)
- no GPU
- Docker + Compose
- Needs Gemini/OpenAI/Volcengine/Vertex or LazyLLM API key, FFmpeg with libass (video export), LibreOffice (optional, PPTX upload), Baidu API key (optional, editable export)
- Models: Gemini (Nano Banana Pro), OpenAI-compatible (gpt-image-2), Volcengine Doubao/Seedream, Vertex AI, LazyLLM vendors (Qwen, DeepSeek, GLM, Kimi, MiniMax, SiliconFlow)
- port 3011
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