jeecgboot vs llamacoder
Two of the top app builder starters, side by side: score, setup, license, activity and what each review found.
jeecgboot
Java low-code platform with code generator and built-in AI app builder
llamacoder
Open-source Claude Artifacts clone generating React apps with Llama
| What we compare | jeecgboot | llamacoder |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 88, widely used | 61, popular |
| Freshness | 100, active | 100, active |
| Maintenance | 93, healthy | 37, patchy |
| Easy to run | 17, hard | 0, hard |
| Agent-ready | 0, none | 70, partly |
| Facts from GitHub and the README | ||
| Stars | 48.2k | 7.1k |
| License | Apache-2.0 (permissive) | MIT (permissive) |
| Last commit | Sep 2026 | Sep 2026 |
| Last release | Aug 2026 | None published |
| Language | Java | TypeScript |
| Docker | Yes | No |
| GPU | Optional | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
jeecgboot
JeecgBoot is a Spring Boot 4 and Vue3 platform for building enterprise systems such as OA, ERP and CRM. It pairs an online form builder and code generator with an AI module (model management, knowledge base with RAG, flow orchestration, MCP plugins, chat assistant) built on langchain4j. It runs as a monolith or as Spring Cloud Alibaba microservices.
Who it is for: Java teams building enterprise admin systems with optional AI features
Strengths
- Code generator emits front end, back end, table SQL and menu permissions
- Switches between monolith and Spring Cloud Alibaba microservices (Nacos, Gateway, Sentinel)
- Row, column and form-field level data permissions plus multi-tenant SaaS support
- Supports MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, Dameng, Kingbase and TiDB
Weaknesses
- Only MySQL scripts ship by default; other databases need manual conversion
- README and docs are primarily in Chinese, with English and Japanese variants linked
- Large stack: needs Redis and a database, and microservice mode adds Nacos and more
- AI features are one module in a broad platform, not a standalone AI app server
- Java, ChatGPT, DeepSeek, Qwen, Zhipu
- Needs MySQL 5.7+, Redis, Nacos (microservice mode), MinIO or Aliyun OSS (optional)
llamacoder
Next.js App Router app with Tailwind that sends a prompt to Llama 3.1 405B on Together AI and renders the generated React app in a sandboxed iframe using esbuild-wasm and esm.sh. Needs TOGETHER_API_KEY, a Postgres DATABASE_URL via Prisma (Neon suggested) and S3 credentials for screenshot uploads; Braintrust tracing is optional. For developers building a prompt-to-app demo on open models.
Who it is for: Developers building a prompt-to-app demo on open models
Strengths
- In-browser preview via esbuild-wasm and esm.sh; no server sandbox cost
- Prisma and Postgres persistence for generated apps
- Braintrust observability wired as an optional env var
- Live deployment at llamacoder.io shows the finished product
Weaknesses
- Together AI only; no provider abstraction
- Screenshot upload requires five S3-related env vars
- No auth or rate limiting described
- No .env.example
- TypeScript, Together AI (Llama 3.1 405B)
- Needs Together AI API key, PostgreSQL (Neon), S3 bucket for screenshots, Braintrust (optional)