Comparison
gateway vs aqueduct
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.
Markdown twin · gateway alternatives · aqueduct alternatives
GraphCanon updated Sep 29, 2026
8views this month
Trust & integrity
| Signal | gateway | aqueduct |
|---|---|---|
| Maintenance | Dormant (893d since push) As of Sep 18, 2026 · github_public_v1 | Dormant (1209d since push) As of Sep 29, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 29, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 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
- gateway
- Core infrastructure stack for building production-ready AI Applications
- aqueduct
- Orchestrate LLM and ML workloads on any cloud infrastructure using Go.
Stars
- gateway
- 161
- aqueduct
- 518
Forks
- gateway
- 16
- aqueduct
- 20
Open issues
- gateway
- 10
- aqueduct
- 11
Language
- gateway
- Go
- aqueduct
- Go
Adopt for
- gateway
- 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
- Aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support.
Persona
- gateway
- -
- aqueduct
- -
Runtime
- gateway
- -
- aqueduct
- -
License
- gateway
- AI Gateway is licensed under Apache-2.0, allowing for broad usage and modification.
- aqueduct
- Apache-2.0
Last pushed
- gateway
- Apr 8, 2024
- aqueduct
- Jun 7, 2023
Categories
- gateway
- Inference & Serving
- aqueduct
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- gateway
- 893d
- aqueduct
- 1209d
Open issues (now)
- gateway
- 10
- aqueduct
- 11
Owner type
- gateway
- User
- aqueduct
- Organization
Full report
- gateway
- Trust report
- aqueduct
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (pyadav/gateway) · observed Sep 20, 2026
- GitHub forks (pyadav/gateway) · observed Sep 20, 2026
- Last push (pyadav/gateway) · observed Apr 8, 2024
- 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 (RunLLM/aqueduct) · observed Sep 29, 2026
- GitHub forks (RunLLM/aqueduct) · observed Sep 29, 2026
- Last push (RunLLM/aqueduct) · observed Jun 7, 2023
- License file (Apache-2.0) · observed Sep 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gateway 161 · aqueduct 518 (synced Sep 20, 2026).
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 and aqueduct alternatives (gateway markdown twin, aqueduct 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, 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; aqueduct trust report.