--- title: "harbor vs gateway" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/av-harbor-vs-missingstudio-gateway" tools: ["av-harbor", "missingstudio-gateway"] --- # harbor vs gateway *GraphCanon updated Aug 11, 2026* ## Verdict Pick harbor if harbor is a rapid deployment tool for AI stacks using Docker and docker-compose; 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. [harbor](https://discord.gg/8nDRphrhSF) reports 3.2k GitHub stars, 220 forks, and 64 open issues, last pushed Aug 2, 2026. [gateway](https://www.missing.studio) has 160 stars, 17 forks, and 10 open issues, last pushed Apr 8, 2024. Figures are from public GitHub metadata via [harbor's repository](https://github.com/av/harbor) and [gateway's repository](https://github.com/missingstudio/gateway). | | [harbor](/tools/av-harbor.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Tagline | Complete pre-wired LLM stack via one command | Core infrastructure stack for building production-ready AI Applications | | Stars | 3,162 | 160 | | Forks | 220 | 17 | | Open issues | 64 | 10 | | Language | Python | Go | | Adopt for | Harbor is a rapid deployment tool for AI stacks using Docker and docker-compose. | AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [harbor](/tools/av-harbor.md) | [gateway](/tools/missingstudio-gateway.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 8d | 846d | | Open issues (now) | 64 | 10 | | Owner type | User | Organization | | Full report | [trust report](/tools/av-harbor/trust.md) | [trust report](/tools/missingstudio-gateway/trust.md) | ## Decision facts: harbor - **Adopt for:** Harbor is a rapid deployment tool for AI stacks using Docker and docker-compose. ## Decision facts: gateway - **Adopt for:** AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models. ## Choose when ### Choose harbor if… - harbor is primarily Python; gateway is Go. - Tags unique to harbor: ai, automation, bash, cli. - Also covers LLM Frameworks. - - When you need to deploy an AI stack quickly with minimal configuration ### Choose gateway if… - gateway is primarily Go; harbor is Python. - Tags unique to gateway: ai-gateway, grpc, inference, llmops. - 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 harbor - - If detailed customization at a service level is required beyond what the default setup offers - - In cases where the project does not align well with the pre-wired services and configurations harbor provides by default ## 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. ## Common questions ### What is the difference between harbor and gateway? harbor: Complete pre-wired LLM stack via one command. gateway: Core infrastructure stack for building production-ready AI Applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose harbor over gateway? Choose harbor over gateway when harbor is primarily Python; gateway is Go; Tags unique to harbor: ai, automation, bash, cli; Also covers LLM Frameworks; - When you need to deploy an AI stack quickly with minimal configuration. ### When should I choose gateway over harbor? Choose gateway over harbor when gateway is primarily Go; harbor is Python; Tags unique to gateway: ai-gateway, grpc, inference, llmops; 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 avoid harbor? - If detailed customization at a service level is required beyond what the default setup offers - In cases where the project does not align well with the pre-wired services and configurations harbor provides by default ### 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. ### Is harbor or gateway more popular on GitHub? harbor has more GitHub stars (3,162 vs 160). Stars measure visibility, not whether either tool fits your constraints. ### Are harbor and gateway open source? Yes - both are open-source projects on GitHub (harbor: Apache-2.0, gateway: Apache-2.0). ### Where can I find alternatives to harbor or gateway? GraphCanon lists graph-backed alternatives at [harbor alternatives](/tools/av-harbor/alternatives) and [gateway alternatives](/tools/missingstudio-gateway/alternatives) ([harbor markdown twin](/tools/av-harbor/alternatives.md), [gateway markdown twin](/tools/missingstudio-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/av-harbor-vs-missingstudio-gateway.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, harbor or gateway? harbor: Active. 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 harbor and gateway? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [harbor trust report](/tools/av-harbor/trust); [gateway trust report](/tools/missingstudio-gateway/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=av-harbor`](/api/graphcanon/graph?tool=av-harbor) - 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/_