Comparison
gateway vs Awesome-LLMOps
Verdict
Pick gateway if a high-performance AI Gateway named 'gateway', supporting over 1,600 LLM connections and featuring various guardrail mechanisms for safer utilization; 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 1w
vs
Trust & integrity
| Signal | gateway | Awesome-LLMOps |
|---|---|---|
| Maintenance | Steady (74d since push) As of 1w · github_public_v1 | Steady (60d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1mo · 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
- A high-performance AI Gateway connecting to over 1,600 LLMs with guardrails.
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- gateway
- 13k
- Awesome-LLMOps
- 5.9k
Forks
- gateway
- 1.2k
- Awesome-LLMOps
- 924
Open issues
- gateway
- 242
- Awesome-LLMOps
- 181
Language
- gateway
- TypeScript
- Awesome-LLMOps
- Shell
Adopt for
- gateway
- A high-performance AI Gateway named 'gateway', supporting over 1,600 LLM connections and featuring various guardrail mechanisms for safer utilization.
- 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
- MIT
- Awesome-LLMOps
- CC0-1.0
Last pushed
- gateway
- May 25, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- gateway
- Evaluation & Observability, LLM Frameworks
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Days since push
- gateway
- 74d
- Awesome-LLMOps
- 60d
Open issues (now)
- gateway
- 242
- Awesome-LLMOps
- 181
Stars delta
- gateway
- +314 (30d)
- Awesome-LLMOps
- Unknown
Open issues delta
- gateway
- +25 (30d)
- Awesome-LLMOps
- Unknown
Full report
- gateway
- Trust report
- Awesome-LLMOps
- Trust report
Choose gateway if…
- gateway is primarily TypeScript; Awesome-LLMOps is Shell.
- License: gateway is MIT, Awesome-LLMOps is CC0-1.0.
- Pricing: The service is open source and MIT licensed; specific pricing for related services (if any) not detailed in repository..
- Requirements: Developed using TypeScript; no Docker requirement specified for operation or development..
- Tags unique to gateway: ai-gateway, gateway, generative-ai, langchain.
- gateway ships Docker support for self-hosted deployment.
- Use gateway when you need a versatile platform capable of connecting to more than 1,600 LLM providers.
When NOT to use gateway
- Avoid using gateway if your application only requires connection to a limited number of LLM providers, as its extensive provider support might introduce unnecessary complexity.
- If you don't require sophisticated cost management features such as smart caching or usage analytics provided by the tool, consider simpler alternatives.
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; gateway is TypeScript.
- License: Awesome-LLMOps is CC0-1.0, gateway is MIT.
- Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, mlops.
- Also covers Computer Vision, Data & Retrieval, Inference & Serving, 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 (Portkey-AI/gateway) · observed Aug 7, 2026
- GitHub forks (Portkey-AI/gateway) · observed Aug 7, 2026
- Last push (Portkey-AI/gateway) · observed May 25, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Jul 21, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Jul 21, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gateway 13k · Awesome-LLMOps 5.9k (synced Aug 7, 2026).
Common questions
- What is the difference between gateway and Awesome-LLMOps?
- gateway: A high-performance AI Gateway connecting to over 1,600 LLMs with guardrails.. 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 TypeScript; Awesome-LLMOps is Shell; License: gateway is MIT, Awesome-LLMOps is CC0-1.0; Pricing: The service is open source and MIT licensed; specific pricing for related services (if any) not detailed in repository.; Requirements: Developed using TypeScript; no Docker requirement specified for operation or development.; Tags unique to gateway: ai-gateway, gateway, generative-ai, langchain; gateway ships Docker support for self-hosted deployment; Use gateway when you need a versatile platform capable of connecting to more than 1,600 LLM providers.
- When should I choose Awesome-LLMOps over gateway?
- Choose Awesome-LLMOps over gateway when Awesome-LLMOps is primarily Shell; gateway is TypeScript; License: Awesome-LLMOps is CC0-1.0, gateway is MIT; Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, mlops; Also covers Computer Vision, Data & Retrieval, Inference & Serving, 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 gateway?
- Avoid using gateway if your application only requires connection to a limited number of LLM providers, as its extensive provider support might introduce unnecessary complexity. If you don't require sophisticated cost management features such as smart caching or usage analytics provided by the tool, consider simpler alternatives.
- 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?
- gateway has more GitHub stars (12,668 vs 5,887). 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: MIT, 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: Steady. Awesome-LLMOps: Steady. 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.