e2b vs open-lovable
Two of the top projects in App builder starters, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.
e2b
SDKs for running AI-generated code in isolated cloud sandboxes
open-lovable
Chat-driven React app builder that clones sites via Firecrawl and runs code in sandboxes
Verdict
e2b ranks higher, 83 to 61. Of the 4 score parts we measure for both, e2b leads on 2, open-lovable on 1 and 1 is even.
- Adoptionopen-lovable leads by 12 points, 86 to 74.
- FreshnessEven at 100.
- Maintenancee2b leads by 65 points, 80 to 15: a wide gap.
- Agent-readye2b leads by 70 points, 70 to 0: a wide gap.
Pick e2b if you are
Developers who need sandboxed code execution for agents or app builders
- Official JavaScript/TypeScript and Python SDKs with a matching sandbox API
- Separate Code Interpreter and Desktop SDKs cover code execution and computer use
Pick open-lovable if you are
Developers who want a self-run prompt-to-React app builder to study or fork
- Supports four LLM providers: Gemini, Anthropic, OpenAI and Groq, chosen via env keys
- Sandbox backend is switchable between Vercel Sandbox and E2B with one variable
| What we compare | e2b | open-lovable |
|---|---|---|
| Score parts, out of 100 | ||
| Adoption | 74, popular | 86, widely used |
| Freshness | 100, active | 100, active |
| Maintenance | 80, healthy | 15, weak |
| Agent-ready | 70, partly | 0, none |
| Facts from GitHub and the README | ||
| Stars | 14.8k | 28.9k |
| License | Apache-2.0 (permissive) | MIT (permissive) |
| Last commit | Nov 2026 | Oct 2026 |
| Last release | Nov 2026 | None published |
| Language | Python | TypeScript |
| Docker | Yes | No |
| GPU | Not stated | Not needed |
| arm64 or Apple Silicon | Not stated | Not stated |
e2b
E2B provides JavaScript and Python SDKs that start isolated cloud sandboxes and run shell commands inside them. Companion packages add a Code Interpreter (runCode/run_code) and a Desktop SDK for mouse, keyboard and screenshot control. The runtime can be self-hosted with Terraform on AWS, GCP, Azure or a generic Linux machine; the hosted service needs an API key.
Who it is for: Developers who need sandboxed code execution for agents or app builders
Strengths
- Official JavaScript/TypeScript and Python SDKs with a matching sandbox API
- Separate Code Interpreter and Desktop SDKs cover code execution and computer use
- Self-hosting supported on AWS, GCP, Azure and generic Linux via Terraform
- Apache-2.0 license; cookbook repo has examples for several LLMs and frameworks
Weaknesses
- Hosted use requires an E2B account and API key
- Self-hosted runtime lives in a separate repo, e2b-dev/runtime
- README gives no resource requirements, pricing or sandbox limits
- Provides sandboxes only; agent logic and LLM integration are left to you
- Python
- Needs E2B API key (hosted), Terraform (self-hosting)
- Docker
open-lovable
Next.js app where you describe a React app in chat and an LLM generates and edits the code inside a remote sandbox (Vercel Sandbox by default, or E2B). It uses the Firecrawl API to scrape existing sites as reference material. The LLM can be Gemini, Anthropic, OpenAI or Groq, with optional Morph for faster edit application.
Who it is for: Developers who want a self-run prompt-to-React app builder to study or fork
Strengths
- Supports four LLM providers: Gemini, Anthropic, OpenAI and Groq, chosen via env keys
- Sandbox backend is switchable between Vercel Sandbox and E2B with one variable
- Setup is clone, install, set .env.local, run pnpm dev on port 3000
- MIT licensed
Weaknesses
- Requires a Firecrawl API key; it is listed as required
- Needs a Vercel or E2B account for sandboxes; no local sandbox option documented
- Described as an example app; no docs on deployment, auth or persistence
- No Dockerfile or compose file, and no tagged releases
- TypeScript, Gemini, Anthropic, OpenAI, Groq
- Needs Firecrawl API, Vercel Sandbox or E2B, Morph (optional)
- env example file
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