--- title: "gateway vs aqueduct" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/missingstudio-gateway-vs-runllm-aqueduct" tools: ["missingstudio-gateway", "runllm-aqueduct"] --- # gateway vs aqueduct *GraphCanon updated Sep 29, 2026* ## Verdict Pick gateway if aI Gateway is a core infrastructure stack for deploying production-ready AI applications, supporting multiple operating systems and offering Docker images for easy deployment; pick aqueduct if aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support. [gateway](https://www.missing.studio) reports 161 GitHub stars, 16 forks, and 10 open issues, last pushed Apr 8, 2024. [aqueduct](https://aqueducthq.com) has 518 stars, 20 forks, and 11 open issues, last pushed Jun 7, 2023. Figures are from public GitHub metadata via [gateway's repository](https://github.com/pyadav/gateway) and [aqueduct's repository](https://github.com/RunLLM/aqueduct). | | [gateway](/tools/missingstudio-gateway.md) | [aqueduct](/tools/runllm-aqueduct.md) | | --- | --- | --- | | Tagline | Core infrastructure stack for building production-ready AI Applications | Orchestrate LLM and ML workloads on any cloud infrastructure using Go. | | Stars | 161 | 518 | | Forks | 16 | 20 | | Open issues | 10 | 11 | | Language | Go | Go | | Adopt for | AI Gateway is a core infrastructure stack for deploying production-ready AI applications, supporting multiple operating systems and offering Docker images for easy deployment. | Aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support. | | Persona | - | - | | Runtime | - | - | | License | AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification. | Apache-2.0 | | Categories | Inference & Serving | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gateway](/tools/missingstudio-gateway.md) | [aqueduct](/tools/runllm-aqueduct.md) | | --- | --- | --- | | Days since push | 893d | 1209d | | Open issues (now) | 10 | 11 | | Owner type | User | Organization | | Full report | [trust report](/tools/missingstudio-gateway/trust.md) | [trust report](/tools/runllm-aqueduct/trust.md) | ## Decision facts: gateway - **Pricing:** freemium - The tool is free to use under the Apache-2.0 license, with no explicit premium features mentioned. - **Requirements:** Min 2 GB RAM; Requires Docker; Docker is required for deployment, and the tool supports a wide range of operating systems. - **Adopt for:** AI Gateway is a core infrastructure stack for deploying production-ready AI applications, supporting multiple operating systems and offering Docker images for easy deployment. - **License detail:** AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification. ## Decision facts: aqueduct - **Adopt for:** Aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support. ## Choose when ### Choose gateway if… - Pricing: The tool is free to use under the Apache-2.0 license, with no explicit premium features mentioned.. - Requirements: Min 2 GB RAM; Requires Docker; Docker is required for deployment, and the tool supports a wide range of operating systems.. - Tags unique to gateway: aistudio, api, gateway, generative-ai. - gateway ships Docker support for self-hosted deployment. - Use AI Gateway when you need to deploy production-ready AI applications across various operating systems, as it supports macOS, Windows, Linux, OpenBSD, and FreeBSD. ### Choose aqueduct if… - Tags unique to aqueduct: data, data-science, kubernetes, llm. - Also covers LLM Frameworks, Model Training. - When you need to deploy legacy workflows that depend on Aqueduct's specific implementation of custom ops for resource allocation and training. ## When NOT to use gateway - Avoid AI Gateway if you require a tool that is actively maintained, as the repository indicates the tool is deprecated. - Do not use AI Gateway if you need a solution that supports real-time updates or the latest features, since the deprecation status suggests limited ongoing development and support. ## When NOT to use aqueduct - Avoid if active project maintenance or community support is required as Aqueduct is no longer maintained. - Skip this tool for new projects focusing on state-of-the-art ML orchestration, opting instead for actively supported alternatives. ## Common questions ### What is the difference between gateway and aqueduct? gateway: Core infrastructure stack for building production-ready AI Applications. aqueduct: Orchestrate LLM and ML workloads on any cloud infrastructure using Go.. See the comparison table for live GitHub stats and shared categories. ### When should I choose gateway over aqueduct? Choose gateway over aqueduct when Pricing: The tool is free to use under the Apache-2.0 license, with no explicit premium features mentioned.; Requirements: Min 2 GB RAM; Requires Docker; Docker is required for deployment, and the tool supports a wide range of operating systems.; Tags unique to gateway: aistudio, api, gateway, generative-ai; gateway ships Docker support for self-hosted deployment; Use AI Gateway when you need to deploy production-ready AI applications across various operating systems, as it supports macOS, Windows, Linux, OpenBSD, and FreeBSD. ### When should I choose aqueduct over gateway? Choose aqueduct over gateway when Tags unique to aqueduct: data, data-science, kubernetes, llm; Also covers LLM Frameworks, Model Training; When you need to deploy legacy workflows that depend on Aqueduct's specific implementation of custom ops for resource allocation and training. ### When should I avoid gateway? Avoid AI Gateway if you require a tool that is actively maintained, as the repository indicates the tool is deprecated. Do not use AI Gateway if you need a solution that supports real-time updates or the latest features, since the deprecation status suggests limited ongoing development and support. ### When should I avoid aqueduct? Avoid if active project maintenance or community support is required as Aqueduct is no longer maintained. Skip this tool for new projects focusing on state-of-the-art ML orchestration, opting instead for actively supported alternatives. ### Is gateway or aqueduct more popular on GitHub? aqueduct has more GitHub stars (518 vs 161). Stars measure visibility, not whether either tool fits your constraints. ### Are gateway and aqueduct open source? Yes - both are open-source projects on GitHub (gateway: Apache-2.0, aqueduct: Apache-2.0). ### Where can I find alternatives to gateway or aqueduct? GraphCanon lists graph-backed alternatives at [gateway alternatives](/tools/missingstudio-gateway/alternatives) and [aqueduct alternatives](/tools/runllm-aqueduct/alternatives) ([gateway markdown twin](/tools/missingstudio-gateway/alternatives.md), [aqueduct markdown twin](/tools/runllm-aqueduct/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/missingstudio-gateway-vs-runllm-aqueduct.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gateway or aqueduct? gateway: Dormant. aqueduct: 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 aqueduct? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gateway trust report](/tools/missingstudio-gateway/trust); [aqueduct trust report](/tools/runllm-aqueduct/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=missingstudio-gateway`](/api/graphcanon/graph?tool=missingstudio-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/_