Comparison
ai-gateway vs awesome-LLM-resources
Verdict
Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; pick awesome-LLM-resources if awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and.
Markdown twin · ai-gateway alternatives · awesome-LLM-resources alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | ai-gateway | awesome-LLM-resources |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 12, 2026 · github_public_v1 | Very active (3d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- ai-gateway
- Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
- awesome-LLM-resources
- Summary of the world's best LLM resources.
Stars
- ai-gateway
- 256
- awesome-LLM-resources
- 9.0k
Forks
- ai-gateway
- 35
- awesome-LLM-resources
- 993
Open issues
- ai-gateway
- 68
- awesome-LLM-resources
- 40
Language
- ai-gateway
- Go
- awesome-LLM-resources
- -
Adopt for
- ai-gateway
- ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment.
- awesome-LLM-resources
- awesome-LLM-resources is a curated list of resources related to large language models, covering a wide range of topics from multimodal generation to model training and inference.
Persona
- ai-gateway
- -
- awesome-LLM-resources
- -
Runtime
- ai-gateway
- -
- awesome-LLM-resources
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- awesome-LLM-resources
- The repository is licensed under Apache-2.0, allowing for free use, modification, and distribution.
Last pushed
- ai-gateway
- Sep 10, 2026
- awesome-LLM-resources
- Sep 14, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- awesome-LLM-resources
- AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- ai-gateway
- 2d
- awesome-LLM-resources
- 3d
Open issues (now)
- ai-gateway
- 68
- awesome-LLM-resources
- 40
Stars delta
- ai-gateway
- +37 (30d)
- awesome-LLM-resources
- +123 (30d)
Open issues delta
- ai-gateway
- +5 (30d)
- awesome-LLM-resources
- +17 (30d)
Owner type
- ai-gateway
- Organization
- awesome-LLM-resources
- User
OSV dependency advisories
- ai-gateway
- Published findings
- awesome-LLM-resources
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- awesome-LLM-resources
- Trust report
Choose ai-gateway if…
- Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
- When you need to integrate more than 30 different LLM services including OpenAI and Anthropic
When NOT to use ai-gateway
- If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features
- For small-scale projects that do not require comprehensive cost analysis tools
- When custom integration for specific guardrails is required, as ai-gateway offers generalized settings
Choose awesome-LLM-resources if…
- Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs..
- Requirements: The repository does not specify any technical requirements for accessing its content..
- Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models.
- Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, LLM Frameworks.
- When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
When NOT to use awesome-LLM-resources
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider.
- When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
Explore
ai-gateway trust report →awesome-LLM-resources trust report →Inference & Serving category →Model Training category →AI Agents category →Computer Vision category →Data & Retrieval category →Developer Tools category →Evaluation & Observability 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 (ferro-labs/ai-gateway) · observed Sep 20, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Sep 20, 2026
- Last push (ferro-labs/ai-gateway) · observed Sep 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- GitHub forks (WangRongsheng/awesome-LLM-resources) · observed Sep 20, 2026
- Last push (WangRongsheng/awesome-LLM-resources) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: ai-gateway 256 · awesome-LLM-resources 9.0k (synced Sep 20, 2026).
Common questions
- What is the difference between ai-gateway and awesome-LLM-resources?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. awesome-LLM-resources: Summary of the world's best LLM resources.. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over awesome-LLM-resources?
- Choose ai-gateway over awesome-LLM-resources when Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
- When should I choose awesome-LLM-resources over ai-gateway?
- Choose awesome-LLM-resources over ai-gateway when Pricing: The repository itself is free to use, but some linked resources may require payment or have associated costs.; Requirements: The repository does not specify any technical requirements for accessing its content.; Tags unique to awesome-LLM-resources: awesome-list, book, course, large-language-models; Also covers AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, LLM Frameworks; When you need a comprehensive list of resources for large language models, including multimodal generation, agents, programming assistance, and more.
- When should I avoid ai-gateway?
- If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings
- When should I avoid awesome-LLM-resources?
- If you are looking for a tool that provides direct access to LLM APIs or services, as this repository is a list of resources rather than a service provider. When you need real-time support or a community forum for troubleshooting LLM-related issues, as this repository is a static list of resources without interactive support.
- Is ai-gateway or awesome-LLM-resources more popular on GitHub?
- awesome-LLM-resources has more GitHub stars (8,968 vs 256). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and awesome-LLM-resources open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, awesome-LLM-resources: Apache-2.0).
- Where can I find alternatives to ai-gateway or awesome-LLM-resources?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and awesome-LLM-resources alternatives (ai-gateway markdown twin, awesome-LLM-resources 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, ai-gateway or awesome-LLM-resources?
- ai-gateway: Very active. awesome-LLM-resources: 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 ai-gateway and awesome-LLM-resources?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; awesome-LLM-resources trust report.