--- title: "gateway vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/portkey-ai-gateway-vs-trylonai-gateway" tools: ["portkey-ai-gateway", "trylonai-gateway"] --- # gateway vs gateway *GraphCanon updated Jul 15, 2026* ## 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 gateway if self-hosted firewall for securing AI applications with guardrails and content moderation. [gateway](https://portkey.ai/features/ai-gateway) reports 12k GitHub stars, 1.2k forks, and 220 open issues, last pushed May 25, 2026. [gateway](https://www.trylon.ai) has 126 stars, 12 forks, and 0 open issues, last pushed Jun 25, 2025. Figures are from public GitHub metadata via [gateway's repository](https://github.com/Portkey-AI/gateway) and [gateway's repository](https://github.com/trylonai/gateway). | | [gateway](/tools/portkey-ai-gateway.md) | [gateway](/tools/trylonai-gateway.md) | | --- | --- | --- | | Tagline | A high-performance AI Gateway connecting to over 1,600 LLMs with guardrails. | Self-hosted firewall for securing AI applications with guardrails and content moderation. | | Stars | 12,425 | 126 | | Forks | 1,203 | 12 | | Open issues | 220 | 0 | | Language | TypeScript | Python | | Adopt for | A high-performance AI Gateway named 'gateway', supporting over 1,600 LLM connections and featuring various guardrail mechanisms for safer utilization. | Self-hosted firewall for securing AI applications with guardrails and content moderation. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Evaluation & Observability, LLM Frameworks | Evaluation & Observability, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/portkey-ai-gateway.md) | [gateway](/tools/trylonai-gateway.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 49d | 385d | | Open issues (now) | 220 | 0 | | Full report | [trust report](/tools/portkey-ai-gateway/trust.md) | [trust report](/tools/trylonai-gateway/trust.md) | ## Decision facts: gateway - **Pricing:** unknown - 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. - **Adopt for:** A high-performance AI Gateway named 'gateway', supporting over 1,600 LLM connections and featuring various guardrail mechanisms for safer utilization. ## Decision facts: gateway - **Pricing:** freemium - Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment - **Requirements:** Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time - **Adopt for:** Self-hosted firewall for securing AI applications with guardrails and content moderation. ## Choose when ### Choose gateway if… - gateway is primarily TypeScript; gateway is Python. - License: gateway is MIT, gateway is Other. - 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. - Use gateway when you need a versatile platform capable of connecting to more than 1,600 LLM providers. ### Choose gateway if… - gateway is primarily Python; gateway is TypeScript. - License: gateway is Other, gateway is MIT. - Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment. - Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time. - Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction. - When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker ## 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. ## When NOT to use gateway - Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments - Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security ## Common questions ### What is the difference between gateway and gateway? gateway: A high-performance AI Gateway connecting to over 1,600 LLMs with guardrails.. gateway: Self-hosted firewall for securing AI applications with guardrails and content moderation.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over gateway? Choose gateway over gateway when gateway is primarily TypeScript; gateway is Python; License: gateway is MIT, gateway is Other; 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; Use gateway when you need a versatile platform capable of connecting to more than 1,600 LLM providers. ### When should I choose gateway over gateway? Choose gateway over gateway when gateway is primarily Python; gateway is TypeScript; License: gateway is Other, gateway is MIT; Pricing: Open-source with no explicit monetary cost, but requires users to handle infrastructure costs associated with local Docker deployment; Requirements: Min 4 GB RAM; Requires Docker; Docker and Docker Compose are required for deployment; Initial launch takes several minutes due to downloading machine learning models (~1.5GB+) for the first time; Tags unique to gateway: content-moderation, docker-compose, guardrails, pii-redaction; When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker. ### 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 gateway? Avoid if you are looking for cloud-managed services, as this tool is designed solely for local or self-hosted environments Not suitable if you require extensive customization beyond the provided policies.yaml file and predefined guardrails for content moderation and security ### Is gateway or gateway more popular on GitHub? gateway has more GitHub stars (12,425 vs 126). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and gateway open source? Yes - both are open-source projects on GitHub (gateway: MIT, gateway: Other). ### Where can I find alternatives to gateway or gateway? GraphCanon lists graph-backed alternatives at [gateway alternatives](/tools/portkey-ai-gateway/alternatives) and [gateway alternatives](/tools/trylonai-gateway/alternatives) ([gateway markdown twin](/tools/portkey-ai-gateway/alternatives.md), [gateway markdown twin](/tools/trylonai-gateway/alternatives.md)), 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](/compare/portkey-ai-gateway-vs-trylonai-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or gateway? gateway: Steady. gateway: 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 gateway and gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gateway trust report](/tools/portkey-ai-gateway/trust); [gateway trust report](/tools/trylonai-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=portkey-ai-gateway`](/api/graphcanon/graph?tool=portkey-ai-gateway) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_