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Onlook vs LlamaIndex
Onlook vs LlamaIndex: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
Onlook vs LlamaIndex : buying comparison
This comparison helps choose between Onlook and LlamaIndex by pricing, use case, models, integration, privacy and governance.
Budget: Onlook · Free self-hosted. Rating: LlamaIndex · 4.5/5.
| Criteria | Onlook | LlamaIndex |
|---|---|---|
| Price | Free self-hosted | $0+ credits |
| Best for | Designers and frontend teams visually editing real code with AI | RAG, document agents, parsing, indexing and data workflows for LLM applications |
| Models | Visual code editor, DOM editing, AI-assisted website and prototype workflows | Indexes, retrieval, agents, workflows, LlamaParse, extraction, document understanding and LlamaCloud |
| Privacy | Open-source self-hosting plus hosted cloud options | Open-source framework for local use; cloud parsing/indexing data handling depends on LlamaCloud configuration |
| Rating | 4/5 | 4.5/5 |
Frequently asked questions
Onlook or LlamaIndex: which one should you choose?
Choose Onlook if entry budget is the priority. Choose LlamaIndex if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do Onlook and LlamaIndex cover the same need?
Not exactly. Compare the real workflow: IDE, terminal, governance, code review or app generation.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.