---
title: "llama_cloud_services vs llama_index"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/run-llama-llama-cloud-services-vs-run-llama-llama-index"
tools: ["run-llama-llama-cloud-services", "run-llama-llama-index"]
---

# llama_cloud_services vs llama_index

Neutral, constraint-first comparison with live GitHub stats.

| | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | [llama_index](/tools/run-llama-llama-index.md) |
| --- | --- | --- |
| Tagline | Knowledge Agents and Management in the Cloud | Document agent and OCR platform |
| Stars | 4,252 | 50,723 |
| Forks | 469 | 7,711 |
| Open issues | 368 | 494 |
| Language | TypeScript | Python |
| Adopt for | Decision-Critical Facts for `llama_cloud_services` | LlamaIndex is an open-source framework that enables developers to build agentic applications, integrating with various LLMs, embeddings, and vector stores. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Data & Retrieval, AI Agents | Vector Databases, AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | [llama_index](/tools/run-llama-llama-index.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 50d | 5d |
| Open issues (now) | 368 | 494 |
| Security scan | No criticals | No lockfile |
| Full report | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | [trust report](/tools/run-llama-llama-index/trust.md) |

**Typed relationship:** llama_cloud_services _(successor)_ llama_index

llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality.

Recommended - Succeeding package with improved performance and active development.

## Shared compatibility

- **Python**: [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) - Python runtime; [llama_index](/tools/run-llama-llama-index.md) - Python runtime

## Decision facts: llama_cloud_services

- **Requirements:** Migration from this deprecated repository to new Python (`pip install llama-cloud>=1.0`) and TypeScript (`npm install @llamaindex/llama-cloud`) packages is soon; recommended for ongoing support, performance enhancements, and active development.
- **Adopt for:** Decision-Critical Facts for `llama_cloud_services`

## Decision facts: llama_index

- **Adopt for:** LlamaIndex is an open-source framework that enables developers to build agentic applications, integrating with various LLMs, embeddings, and vector stores.

## Choose when

### Choose llama_cloud_services if…

- llama_cloud_services is primarily TypeScript; llama_index is Python.
- Requirements: Migration from this deprecated repository to new Python (`pip install llama-cloud>=1.0`) and TypeScript (`npm install @llamaindex/llama-cloud`) packages is soon; recommended for ongoing support, performance enhancements, and active development..
- llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality.
- Tags unique to llama_cloud_services: ppt-to-json, pdf-processing, docx-conversion, document-parser.
- Also covers Data & Retrieval.
- - When legacy systems require services that are not yet supported by newer Python or TypeScript packages (prior to May 1, 2026).

### Choose llama_index if…

- llama_index is primarily Python; llama_cloud_services is TypeScript.
- llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality.
- Tags unique to llama_index: llamaindex, fine-tuning, agents, llm.
- Also covers Vector Databases.
- When you require a flexible and extensive set of integrations for building agentic applications using different LLMs, embedding models, and vector storages.

## When NOT to use llama_cloud_services

- - If starting new projects that require cloud-based knowledge agents and document processing services, due to deprecation.
- - When performance improvements, up-to-date support, or active development are critical considerations, since the newer `llama-cloud` Python packages or TypeScript equivalents offer these advantages.

## When NOT to use llama_index

- If your project does not require agentic application development or advanced document processing capabilities beyond basic OCR.
- In scenarios where using an open-source framework with extensive integrations introduces unnecessary complexity, especially if you are already committed to a specific technology stack that does not co

## Common questions

### What is the difference between llama_cloud_services and llama_index?

llama_cloud_services: Knowledge Agents and Management in the Cloud. llama_index: Document agent and OCR platform. See the comparison table for live GitHub stats and shared categories.

### When should I choose llama_cloud_services over llama_index?

Choose llama_cloud_services over llama_index when llama_cloud_services is primarily TypeScript; llama_index is Python; Requirements: Migration from this deprecated repository to new Python (`pip install llama-cloud>=1.0`) and TypeScript (`npm install @llamaindex/llama-cloud`) packages is soon; recommended for ongoing support, performance enhancements, and active development.; llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality; Tags unique to llama_cloud_services: ppt-to-json, pdf-processing, docx-conversion, document-parser; Also covers Data & Retrieval; - When legacy systems require services that are not yet supported by newer Python or TypeScript packages (prior to May 1, 2026).

### When should I choose llama_index over llama_cloud_services?

Choose llama_index over llama_cloud_services when llama_index is primarily Python; llama_cloud_services is TypeScript; llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality; Tags unique to llama_index: llamaindex, fine-tuning, agents, llm; Also covers Vector Databases; When you require a flexible and extensive set of integrations for building agentic applications using different LLMs, embedding models, and vector storages.

### When should I avoid llama_cloud_services?

- If starting new projects that require cloud-based knowledge agents and document processing services, due to deprecation. - When performance improvements, up-to-date support, or active development are critical considerations, since the newer `llama-cloud` Python packages or TypeScript equivalents offer these advantages.

### When should I avoid llama_index?

If your project does not require agentic application development or advanced document processing capabilities beyond basic OCR. In scenarios where using an open-source framework with extensive integrations introduces unnecessary complexity, especially if you are already committed to a specific technology stack that does not co

### Is llama_cloud_services or llama_index more popular on GitHub?

llama_index has more GitHub stars (50,723 vs 4,252). Stars measure visibility, not whether either tool fits your constraints.

### Are llama_cloud_services and llama_index open source?

Yes - both are open-source projects on GitHub (llama_cloud_services: MIT, llama_index: MIT).

### Where can I find alternatives to llama_cloud_services or llama_index?

GraphCanon lists graph-backed alternatives at /tools/run-llama-llama-cloud-services/alternatives and /tools/run-llama-llama-index/alternatives (/tools/run-llama-llama-cloud-services/alternatives.md, /tools/run-llama-llama-index/alternatives.md), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/run-llama-llama-cloud-services-vs-run-llama-llama-index.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llama_cloud_services or llama_index?

llama_cloud_services: Steady. llama_index: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for llama_cloud_services and llama_index?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama_cloud_services: /tools/run-llama-llama-cloud-services/trust; llama_index: /tools/run-llama-llama-index/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=run-llama-llama-cloud-services`](/api/graphcanon/graph?tool=run-llama-llama-cloud-services)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_