Home/Compare/harbor vs gateway

Comparison

harbor vs gateway

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.

Markdown twin · harbor alternatives · gateway alternatives

GraphCanon updated 1w

harbor logo

harbor

av/harbor

3.2kpushed Aug 2, 2026
vs
gateway logo

gateway

missingstudio/gateway

160pushed Apr 8, 2024

Trust & integrity

Signalharborgateway
Maintenance
Active (8d since push)
As of 1w · github_public_v1
Dormant (846d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of 2w · 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

harbor
Complete pre-wired LLM stack via one command
gateway
Core infrastructure stack for building production-ready AI Applications

Stars

harbor
3.2k
gateway
160

Forks

harbor
220
gateway
17

Open issues

harbor
64
gateway
10

Language

harbor
Python
gateway
Go

Adopt for

harbor
Harbor is a rapid deployment tool for AI stacks using Docker and docker-compose.
gateway
AI Gateway offers a comprehensive infrastructure for deploying and managing production-grade AI apps with GRPC, protobuf, and support for large language models.

Persona

harbor
-
gateway
-

Runtime

harbor
-
gateway
-

License

harbor
Apache-2.0
gateway
Apache-2.0

Last pushed

harbor
Aug 2, 2026
gateway
Apr 8, 2024

Categories

harbor
Inference & Serving, LLM Frameworks, Model Training
gateway
Inference & Serving, Model Training

Trust and health

Maintenance

harbor
Active (82%)
gateway
Dormant (18%)

Days since push

harbor
8d
gateway
846d

Open issues (now)

harbor
64
gateway
10

Owner type

harbor
User
gateway
Organization

Full report

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

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

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: harbor 3.2k · gateway 160 (synced Aug 11, 2026).

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 and gateway alternatives (harbor markdown twin, gateway 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, 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; gateway trust report.

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