Comparison
gateway vs Awesome-LLMOps
Verdict
Pick gateway if aI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models; 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 · gateway alternatives · Awesome-LLMOps alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | gateway | Awesome-LLMOps |
|---|---|---|
| Maintenance | Dormant (846d since push) As of 2w · github_public_v1 | Slowing (91d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- gateway
- Core infrastructure stack for building production-ready AI Applications
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- gateway
- 160
- Awesome-LLMOps
- 5.9k
Forks
- gateway
- 17
- Awesome-LLMOps
- 993
Open issues
- gateway
- 10
- Awesome-LLMOps
- 247
Language
- gateway
- Go
- Awesome-LLMOps
- Shell
Adopt for
- gateway
- AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models.
- 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
- gateway
- -
- Awesome-LLMOps
- -
Runtime
- gateway
- -
- Awesome-LLMOps
- -
License
- gateway
- Apache-2.0
- Awesome-LLMOps
- CC0-1.0
Last pushed
- gateway
- Apr 8, 2024
- Awesome-LLMOps
- May 21, 2026
Categories
- gateway
- Inference & Serving, Model Training
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- gateway
- Dormant (18%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- gateway
- 846d
- Awesome-LLMOps
- 91d
Open issues (now)
- gateway
- 10
- Awesome-LLMOps
- 247
Stars delta
- gateway
- Unknown
- Awesome-LLMOps
- +28 (30d)
Open issues delta
- gateway
- Unknown
- Awesome-LLMOps
- +66 (30d)
Full report
- gateway
- Trust report
- Awesome-LLMOps
- Trust report
Choose gateway if…
- gateway is primarily Go; Awesome-LLMOps is Shell.
- License: gateway is Apache-2.0, Awesome-LLMOps is CC0-1.0.
- Tags unique to gateway: ai-gateway, grpc, inference, production-ready.
- gateway ships Docker support for self-hosted deployment.
- Use when you need to deploy applications that require low-latency communication like gRPC services.
When NOT to use gateway
- Avoid if the project does not involve production-grade AI application deployment or specific needs of grpc and protobuf technologies.
- Not suitable for teams preferring other programming languages over Go, as this tool is written entirely in Go.
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; gateway is Go.
- License: Awesome-LLMOps is CC0-1.0, gateway is Apache-2.0.
- Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, mlops.
- Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, LLM Frameworks, 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 (missingstudio/gateway) · observed Aug 2, 2026
- GitHub forks (missingstudio/gateway) · observed Aug 2, 2026
- Last push (missingstudio/gateway) · observed Apr 8, 2024
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Aug 20, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Aug 20, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gateway 160 · Awesome-LLMOps 5.9k (synced Aug 2, 2026).
Common questions
- What is the difference between gateway and Awesome-LLMOps?
- gateway: Core infrastructure stack for building production-ready AI Applications. 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 gateway over Awesome-LLMOps?
- Choose gateway over Awesome-LLMOps when gateway is primarily Go; Awesome-LLMOps is Shell; License: gateway is Apache-2.0, Awesome-LLMOps is CC0-1.0; Tags unique to gateway: ai-gateway, grpc, inference, production-ready; gateway ships Docker support for self-hosted deployment; Use when you need to deploy applications that require low-latency communication like gRPC services.
- When should I choose Awesome-LLMOps over gateway?
- Choose Awesome-LLMOps over gateway when Awesome-LLMOps is primarily Shell; gateway is Go; License: Awesome-LLMOps is CC0-1.0, gateway is Apache-2.0; Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, mlops; Also covers Computer Vision, Data & Retrieval, Evaluation & Observability, LLM Frameworks, Speech & Audio; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
- When should I avoid gateway?
- Avoid if the project does not involve production-grade AI application deployment or specific needs of grpc and protobuf technologies. Not suitable for teams preferring other programming languages over Go, as this tool is written entirely in Go.
- 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 gateway or Awesome-LLMOps more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,915 vs 160). Stars measure visibility, not whether either tool fits your constraints.
- Are gateway and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (gateway: Apache-2.0, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to gateway or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at gateway alternatives and Awesome-LLMOps alternatives (gateway 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, gateway or Awesome-LLMOps?
- gateway: Dormant. 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 gateway and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gateway trust report; Awesome-LLMOps trust report.