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Comparison

litellm vs awesome-llm-webapps

Verdict

Pick litellm if 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; pick awesome-llm-webapps if awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository.

Markdown twin · litellm alternatives · awesome-llm-webapps alternatives

GraphCanon updated today

litellm logo

litellm

BerriAI/litellm

★ 53kpushed Jul 11, 2026
vs
awesome-llm-webapps logo

awesome-llm-webapps

icefort-ai/awesome-llm-webapps

★ 721pushed Jun 29, 2025

Trust & integrity

Signallitellmawesome-llm-webapps
Maintenance
Very active (0d since push)
As of today · github_public_v1
Dormant (376d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
2 low (2 low)
As of 1d · osv@v1
No lockfile
As of 1d · none
litellm trust reportawesome-llm-webapps trust reportTrust methodology

Tagline

litellm
Python SDK and Proxy Server for calling multiple LLM APIs
awesome-llm-webapps
A collection of open source, actively maintained web apps for LLM applications

Stars

litellm
53k
awesome-llm-webapps
721

Forks

litellm
9.7k
awesome-llm-webapps
36

Open issues

litellm
3.9k
awesome-llm-webapps
13

Language

litellm
Python
awesome-llm-webapps
-

Adopt for

litellm
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.
awesome-llm-webapps
awesome-llm-webapps offers a curated collection of actively maintained web applications for LLM use cases such as chatbots, question answering systems, and natural language interfaces. This repository highlights critical

Persona

litellm
-
awesome-llm-webapps
-

Runtime

litellm
-
awesome-llm-webapps
-

License

litellm
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.
awesome-llm-webapps
MIT

Last pushed

litellm
Jul 11, 2026
awesome-llm-webapps
Jun 29, 2025

Categories

litellm
Inference & Serving, LLM Frameworks
awesome-llm-webapps
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

litellm
Very active (96%)
awesome-llm-webapps
Dormant (18%)

Days since push

litellm
0d
awesome-llm-webapps
376d

Open issues (now)

litellm
3.9k
awesome-llm-webapps
13

Security scan

litellm
2 low (2 low)
awesome-llm-webapps
No lockfile

Full report

litellm
Trust report
awesome-llm-webapps
Trust report

Choose litellm if…

  • License: litellm is Other, awesome-llm-webapps 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: ai-gateway, azure-openai, bedrock, llm.
  • 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 NOT to use litellm

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

Choose awesome-llm-webapps if…

  • License: awesome-llm-webapps is MIT, litellm is Other.
  • Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms..
  • Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems.
  • - When you need to start an LLM project quickly with a high-quality base application.

When NOT to use awesome-llm-webapps

  • - Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository.
  • - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods).
GitHubDetails

Explore

litellm trust report →awesome-llm-webapps trust report →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: litellm 53k · awesome-llm-webapps 721 (synced Jul 11, 2026).

Common questions

What is the difference between litellm and awesome-llm-webapps?
litellm: Python SDK and Proxy Server for calling multiple LLM APIs. awesome-llm-webapps: A collection of open source, actively maintained web apps for LLM applications. See the comparison table for live GitHub stats and shared categories.
When should I choose litellm over awesome-llm-webapps?
Choose litellm over awesome-llm-webapps when License: litellm is Other, awesome-llm-webapps 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: ai-gateway, azure-openai, bedrock, llm; 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-llm-webapps over litellm?
Choose awesome-llm-webapps over litellm when License: awesome-llm-webapps is MIT, litellm is Other; Pricing: The projects listed are open-source under MIT license and free to use; however, specific models or services integrated within the projects may have their own licensing terms.; Tags unique to awesome-llm-webapps: assistants, chatbots, natural language interfaces, question answering systems; - When you need to start an LLM project quickly with a high-quality base application.
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-llm-webapps?
- Avoid if you require an LLM solution with immediate support for multiple unique languages that are not already covered in the repository. - Not suitable when you need a project with very niche features that fall outside of common criteria defined in this list (e.g., deep integration with obscure data ingestion methods).
Is litellm or awesome-llm-webapps more popular on GitHub?
litellm has more GitHub stars (53,271 vs 721). Stars measure visibility, not whether either tool fits your constraints.
Are litellm and awesome-llm-webapps open source?
Yes - both are open-source projects on GitHub (litellm: Other, awesome-llm-webapps: MIT).
Where can I find alternatives to litellm or awesome-llm-webapps?
GraphCanon lists graph-backed alternatives at litellm alternatives and awesome-llm-webapps alternatives (litellm markdown twin, awesome-llm-webapps markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, litellm or awesome-llm-webapps?
litellm: Very active. awesome-llm-webapps: Dormant. 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-llm-webapps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; awesome-llm-webapps trust report.