Comparison
control-layer vs gateway
Verdict
Pick control-layer if controlLayer offers robust interaction management with LLMs through validation, schema enforcement, circuit breaking, retry mechanisms, and audit logging; pick gateway if self-hosted firewall for securing AI applications with guardrails and content moderation.
Markdown twin · control-layer alternatives · gateway alternatives
GraphCanon updated Sep 20, 2026
14views this month
vs
Trust & integrity
| Signal | control-layer | gateway |
|---|---|---|
| Maintenance | Slowing (111d since push) As of Sep 14, 2026 · github_public_v1 | Dormant (445d since push) As of Sep 14, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 14, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 14, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- control-layer
- A production-grade control layer for LLM interaction
- gateway
- Self-hosted firewall for securing AI applications with guardrails and content moderation.
Stars
- control-layer
- 62
- gateway
- 131
Forks
- control-layer
- 8
- gateway
- 12
Open issues
- control-layer
- 0
- gateway
- 0
Language
- control-layer
- Python
- gateway
- Python
Adopt for
- control-layer
- ControlLayer offers robust interaction management with LLMs through validation, schema enforcement, circuit breaking, retry mechanisms, and audit logging.
- gateway
- Self-hosted firewall for securing AI applications with guardrails and content moderation.
Persona
- control-layer
- -
- gateway
- -
Runtime
- control-layer
- -
- gateway
- -
License
- control-layer
- MIT
- gateway
- Other
Last pushed
- control-layer
- May 25, 2026
- gateway
- Jun 25, 2025
Categories
- control-layer
- Evaluation & Observability, LLM Frameworks
- gateway
- Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- control-layer
- Slowing (36%)
- gateway
- Dormant (18%)
Days since push
- control-layer
- 111d
- gateway
- 445d
Stars delta
- control-layer
- 0 (30d)
- gateway
- +4 (30d)
Owner type
- control-layer
- User
- gateway
- Organization
Full report
- control-layer
- Trust report
- gateway
- Trust report
Choose control-layer if…
- License: control-layer is MIT, gateway is Other.
- Requirements: The tool runs without ML libraries or GPU requirements. It relies solely on Python standard library and four additional packages.; Installation involves pip installing tiktoken, tenacity, pydantic, and structlog..
- Tags unique to control-layer: anthropic, circuit breaker, generative-ai, input-validation.
- When your application requires strict input validation and schema enforcement to ensure consistent interactions with LLMs.
When NOT to use control-layer
- If your project does not require Python-based middleware between the app logic and LLM, or if working exclusively within another language ecosystem.
- For scenarios where minimal dependencies are a hard requirement, as ControlLayer depends on tiktoken, tenacity, pydantic, structlog.
Choose gateway if…
- License: gateway is Other, control-layer 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.
- gateway ships Docker support for self-hosted deployment.
- 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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Emmimal/control-layer) · observed Sep 20, 2026
- GitHub forks (Emmimal/control-layer) · observed Sep 20, 2026
- Last push (Emmimal/control-layer) · observed May 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (trylonai/gateway) · observed Sep 20, 2026
- GitHub forks (trylonai/gateway) · observed Sep 20, 2026
- Last push (trylonai/gateway) · observed Jun 25, 2025
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: control-layer 62 · gateway 131 (synced Sep 20, 2026).
Common questions
- What is the difference between control-layer and gateway?
- control-layer: A production-grade control layer for LLM interaction. 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 control-layer over gateway?
- Choose control-layer over gateway when License: control-layer is MIT, gateway is Other; Requirements: The tool runs without ML libraries or GPU requirements. It relies solely on Python standard library and four additional packages.; Installation involves pip installing tiktoken, tenacity, pydantic, and structlog.; Tags unique to control-layer: anthropic, circuit breaker, generative-ai, input-validation; When your application requires strict input validation and schema enforcement to ensure consistent interactions with LLMs.
- When should I choose gateway over control-layer?
- Choose gateway over control-layer when License: gateway is Other, control-layer 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; gateway ships Docker support for self-hosted deployment; When you need to self-host a secure gateway for LLM-based AI applications that requires local deployment via Docker.
- When should I avoid control-layer?
- If your project does not require Python-based middleware between the app logic and LLM, or if working exclusively within another language ecosystem. For scenarios where minimal dependencies are a hard requirement, as ControlLayer depends on tiktoken, tenacity, pydantic, structlog.
- 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 control-layer or gateway more popular on GitHub?
- gateway has more GitHub stars (131 vs 62). Stars measure visibility, not whether either tool fits your constraints.
- Are control-layer and gateway open source?
- Yes - both are open-source projects on GitHub (control-layer: MIT, gateway: Other).
- Where can I find alternatives to control-layer or gateway?
- GraphCanon lists graph-backed alternatives at control-layer alternatives and gateway alternatives (control-layer 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, control-layer or gateway?
- control-layer: Slowing. 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 control-layer and gateway?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: control-layer trust report; gateway trust report.