Home/Compare/SmarterRouter vs Awesome-LLMOps

Comparison

SmarterRouter vs Awesome-LLMOps

Verdict

Pick SmarterRouter if smarterRouter stands out with its support for semantic caching, automatic failover features, and the ability to integrate seamlessly with Docker via an automated setup wizard; pick Awesome-LLMOps if awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more.

Markdown twin · SmarterRouter alternatives · Awesome-LLMOps alternatives

GraphCanon updated Sep 20, 2026

9views this month

SmarterRouter logo

SmarterRouter

peva3/SmarterRouter

152pushed May 10, 2026
vs
Awesome-LLMOps logo

Awesome-LLMOps

tensorchord/Awesome-LLMOps

5.9kpushed May 21, 2026

Trust & integrity

SignalSmarterRouterAwesome-LLMOps
Maintenance
Slowing (133d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (121d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

SmarterRouter
An intelligent LLM gateway and VRAM-aware router for Ollama, llama.cpp, and OpenAI.
Awesome-LLMOps
An awesome & curated list of best LLMOps tools for developers

Stars

SmarterRouter
152
Awesome-LLMOps
5.9k

Forks

SmarterRouter
19
Awesome-LLMOps
1.1k

Open issues

SmarterRouter
2
Awesome-LLMOps
317

Language

SmarterRouter
Python
Awesome-LLMOps
Shell

Adopt for

SmarterRouter
SmarterRouter stands out with its support for semantic caching, automatic failover features, and the ability to integrate seamlessly with Docker via an automated setup wizard.
Awesome-LLMOps
Awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more.

Persona

SmarterRouter
-
Awesome-LLMOps
-

Runtime

SmarterRouter
-
Awesome-LLMOps
-

License

SmarterRouter
MIT
Awesome-LLMOps
CC0-1.0

Last pushed

SmarterRouter
May 10, 2026
Awesome-LLMOps
May 21, 2026

Categories

SmarterRouter
Inference & Serving, LLM Frameworks
Awesome-LLMOps
Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio

Trust and health

Days since push

SmarterRouter
133d
Awesome-LLMOps
121d

Open issues (now)

SmarterRouter
2
Awesome-LLMOps
317

Stars delta

SmarterRouter
+6 (30d)
Awesome-LLMOps
+26 (30d)

Open issues delta

SmarterRouter
+1 (30d)
Awesome-LLMOps
+70 (30d)

Owner type

SmarterRouter
User
Awesome-LLMOps
Organization

OSV dependency advisories

SmarterRouter
Published findings
Awesome-LLMOps
No lockfile (source not queried)

Full report

SmarterRouter
Trust report
Awesome-LLMOps
Trust report

Choose SmarterRouter if…

  • SmarterRouter is primarily Python; Awesome-LLMOps is Shell.
  • License: SmarterRouter is MIT, Awesome-LLMOps is CC0-1.0.
  • Requirements: Min 4 GB RAM; Requires Docker.
  • Tags unique to SmarterRouter: ai-cache, ai-gateway, docker-compose, fastapi.
  • SmarterRouter ships Docker support for self-hosted deployment.
  • If your project requires intelligent load balancing across various AI models including Ollama, llama.cpp, and OpenAI APIs due to VRAM limitations.

When NOT to use SmarterRouter

  • Avoid if your setup strictly avoids Docker-based deployments or prefers a simpler proxy configuration without semantic caching capabilities.
  • Not recommended in scenarios where custom, non-supported models must be routed dynamically and lack VRAM-aware routing support.

Choose Awesome-LLMOps if…

  • Awesome-LLMOps is primarily Shell; SmarterRouter is Python.
  • License: Awesome-LLMOps is CC0-1.0, SmarterRouter is MIT.
  • Tags unique to Awesome-LLMOps: ai development tools, awesome-list, llmops, mlops.
  • Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, Model Training, Speech & Audio.
  • - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.

When NOT to use Awesome-LLMOps

  • - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list.
  • - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources.

Explore

Sources

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

GitHub stars on cards: SmarterRouter 152 · Awesome-LLMOps 5.9k (synced Sep 20, 2026).

Common questions

What is the difference between SmarterRouter and Awesome-LLMOps?
SmarterRouter: An intelligent LLM gateway and VRAM-aware router for Ollama, llama.cpp, and OpenAI.. Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers. See the comparison table for live GitHub stats and shared categories.
When should I choose SmarterRouter over Awesome-LLMOps?
Choose SmarterRouter over Awesome-LLMOps when SmarterRouter is primarily Python; Awesome-LLMOps is Shell; License: SmarterRouter is MIT, Awesome-LLMOps is CC0-1.0; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to SmarterRouter: ai-cache, ai-gateway, docker-compose, fastapi; SmarterRouter ships Docker support for self-hosted deployment; If your project requires intelligent load balancing across various AI models including Ollama, llama.cpp, and OpenAI APIs due to VRAM limitations.
When should I choose Awesome-LLMOps over SmarterRouter?
Choose Awesome-LLMOps over SmarterRouter when Awesome-LLMOps is primarily Shell; SmarterRouter is Python; License: Awesome-LLMOps is CC0-1.0, SmarterRouter is MIT; Tags unique to Awesome-LLMOps: ai development tools, awesome-list, llmops, mlops; Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, Model Training, Speech & Audio; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
When should I avoid SmarterRouter?
Avoid if your setup strictly avoids Docker-based deployments or prefers a simpler proxy configuration without semantic caching capabilities. Not recommended in scenarios where custom, non-supported models must be routed dynamically and lack VRAM-aware routing support.
When should I avoid Awesome-LLMOps?
- When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list. - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources.
Is SmarterRouter or Awesome-LLMOps more popular on GitHub?
Awesome-LLMOps has more GitHub stars (5,941 vs 152). Stars measure visibility, not whether either tool fits your constraints.
Are SmarterRouter and Awesome-LLMOps open source?
Yes - both are open-source projects on GitHub (SmarterRouter: MIT, Awesome-LLMOps: CC0-1.0).
Where can I find alternatives to SmarterRouter or Awesome-LLMOps?
GraphCanon lists graph-backed alternatives at SmarterRouter alternatives and Awesome-LLMOps alternatives (SmarterRouter markdown twin, Awesome-LLMOps 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, SmarterRouter or Awesome-LLMOps?
SmarterRouter: Slowing. Awesome-LLMOps: Slowing. 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 SmarterRouter and Awesome-LLMOps?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SmarterRouter trust report; Awesome-LLMOps trust report.

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