---
title: "litellm vs awesome-hosting"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-dalisoft-awesome-hosting"
tools: ["berriai-litellm", "dalisoft-awesome-hosting"]
---

# litellm vs awesome-hosting

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick litellm when license: litellm is Other, awesome-hosting is MIT; pick awesome-hosting when license: awesome-hosting is MIT, litellm is Other.

[litellm](https://docs.litellm.ai/docs/) reports 53k GitHub stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. [awesome-hosting](https://github.com/dalisoft/awesome-hosting) has 907 stars, 93 forks, and 0 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [awesome-hosting's repository](https://github.com/dalisoft/awesome-hosting).

| | [litellm](/tools/berriai-litellm.md) | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) |
| --- | --- | --- |
| Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | List of awesome hosting sorted by minimal plan price |
| Stars | 53,271 | 907 |
| Forks | 9,671 | 93 |
| Open issues | 3,915 | 0 |
| Language | Python | - |
| Adopt for | litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging. | - |
| Persona | - | - |
| Runtime | - | - |
| License | The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source. | MIT |
| Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Inference & Serving |

## Trust and health

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

| | [litellm](/tools/berriai-litellm.md) | [awesome-hosting](/tools/dalisoft-awesome-hosting.md) |
| --- | --- | --- |
| Open issues (now) | 3.9k | 0 |
| Owner type | Organization | User |
| Security scan | 2 low (2 low) | No lockfile |
| Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/dalisoft-awesome-hosting/trust.md) |

## Decision facts: litellm

- **Pricing:** freemium - While the core functionality is provided free, specific extended features might require a paid plan.
- **Requirements:** Requires Docker
- **Adopt for:** litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging.
- **License detail:** The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source.

## Choose when

### Choose litellm if…

- License: litellm is Other, awesome-hosting is MIT.
- Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
- Requirements: Requires Docker.
- Tags unique to litellm: llm, bedrock, ai-gateway, openai.
- litellm ships Docker support for self-hosted deployment.
- When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging

### Choose awesome-hosting if…

- License: awesome-hosting is MIT, litellm is Other.
- Tags unique to awesome-hosting: deepseek-r1, iaas, hosting, ai.
- Leaner open-issue backlog (0).

## When NOT to use litellm

- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.

## When NOT to use awesome-hosting

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

## Common questions

### What is the difference between litellm and awesome-hosting?

litellm: Python SDK and Proxy Server for calling multiple LLM APIs. awesome-hosting: List of awesome hosting sorted by minimal plan price. See the comparison table for live GitHub stats and shared categories.

### When should I choose litellm over awesome-hosting?

Choose litellm over awesome-hosting when License: litellm is Other, awesome-hosting is MIT; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: llm, bedrock, ai-gateway, openai; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging.

### When should I choose awesome-hosting over litellm?

Choose awesome-hosting over litellm when License: awesome-hosting is MIT, litellm is Other; Tags unique to awesome-hosting: deepseek-r1, iaas, hosting, ai; Leaner open-issue backlog (0).

### When should I avoid litellm?

If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.

### When should I avoid awesome-hosting?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

### Is litellm or awesome-hosting more popular on GitHub?

litellm has more GitHub stars (53,271 vs 907). Stars measure visibility, not whether either tool fits your constraints.

### Are litellm and awesome-hosting open source?

Yes - both are open-source projects on GitHub (litellm: Other, awesome-hosting: MIT).

### Where can I find alternatives to litellm or awesome-hosting?

GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [awesome-hosting alternatives](/tools/dalisoft-awesome-hosting/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [awesome-hosting markdown twin](/tools/dalisoft-awesome-hosting/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 [this comparison](/compare/berriai-litellm-vs-dalisoft-awesome-hosting.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, litellm or awesome-hosting?

litellm: Very active. awesome-hosting: 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 litellm and awesome-hosting?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [awesome-hosting trust report](/tools/dalisoft-awesome-hosting/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=berriai-litellm`](/api/graphcanon/graph?tool=berriai-litellm)
- 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/_
