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BS

Anionex/banana-slides

AI Agent

一个基于nano banana pro🍌的原生AI PPT生成应用,迈向"Vibe PPT"; 支持上传任意模板图片,上传任意素材&智能解析,一句话/大纲/页面描述自动生成PPT,口头修改指定区域、一键导出可编辑ppt - An AI-native slides generator based on nano banana pro🍌

15k Stars1.8k Forks69 Open Issues15k WatchersTypeScriptAGPL-3.0
LLM ToolDeveloper ToolUI Framework
Review Readiness

This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.

85

review score

Indexable review
Decision Snapshot

Problem solved

It eliminates manual slide design by allowing users to generate entire presentations from natural language input or uploaded templates, and supports iterative voice-based editing of specific regions, solving the friction of traditional slide creation tools.

Deployment reality

The available setup signal starts with: Clone the repo and run `npm install` or `yarn install` then start with `npm run dev`.. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

The recorded license is AGPL-3.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

Developers can build applications that let users upload any template image or materials, auto-parse content, generate slides from brief descriptions, edit specific slide regions via voice commands, and export to editable PPTX. Real-world use cases include rapid presentation creation for business meetings, educational content, and marketing decks.

Source and compliance noteLast synced: Jul 26, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

Anionex/banana-slides is tracked as a TypeScript project in the LLM Tool, Developer Tool, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 15k total stars, with +44 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Moderate; the latest push was 30 days ago, and the open issue queue is 69, about 0.45% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 1.8k forks and 15k watchers suggest how often the project is reused or followed. License signal: AGPL-3.0. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 44. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Ready

Original problem, capability, and verdict guidance are available.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

AGPL-3.0 is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • AI prototypes, LLM workflows, and agent-style applications
  • TypeScript teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

15k Stars

Reuse

1.8k Forks

Attention

15k Watchers

Maintenance

moderate

License

AGPL-3.0

Open issues

69

Overview

Banana Slides is an AI-native slides generator built on nano banana pro that enables users to create PPTs by uploading template images, materials, and generating slides from a single sentence, outline, or page description, with voice editing and one-click export to editable PPT format.

Tool Positioning

LLM Tool

Libraries and tools for LLM apps, RAG, prompts, and evals

Developer Tool

Tools that improve coding, testing, build, and local workflow

UI Framework

Frontend frameworks, design systems, and interface libraries

Quick Start
Clone the repo and run `npm install` or `yarn install` then start with `npm run dev`.
View on GitHub Project Homepage
Project Activity

70

Health Score

Moderate

Commit Activity

Nov 29, 2025

Created

Jul 23, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 26, 2026Jul 26, 2026
Community Health
1.8k

Forks

69

Open

15k

Watchers

Owner
BS

Anionex

GitHub profile
Topics & Language
TypeScriptai-ppt-makerai-slide-builderai-slideseditable-pptxllmnanobananapropptppt-generatorslidestext2image
Ecosystem & Usage
GitHub Repository Project Website Search on npm
Alternatives & Comparison

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Interactive roadmaps, guides and other educational content to help developers grow in their careers.

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License
AGPL-3.0
CreatedNov 29, 2025
Last pushJul 23, 2026
Last syncedJul 26, 2026
Repository Standards

✓

License

✓

Forked

~ Moderate

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

It eliminates manual slide design by allowing users to generate entire presentations from natural language input or uploaded templates, and supports iterative voice-based editing of specific regions, solving the friction of traditional slide creation tools.

Capabilities

Developers can build applications that let users upload any template image or materials, auto-parse content, generate slides from brief descriptions, edit specific slide regions via voice commands, and export to editable PPTX. Real-world use cases include rapid presentation creation for business meetings, educational content, and marketing decks.

Bottom Line

This tool is ideal for users who want to quickly generate presentations from minimal input and prefer voice-driven editing. It may not suit those needing fine-grained control over every design element. The key trade-off is speed and AI assistance versus manual design precision.

Full AI Analysis