Comparison
arthur-engine vs ai-gateway
Verdict
Pick arthur-engine if the Arthur Engine monitors AI/ML workloads with a focus on guardrails for LLM applications, evaluation of agentic systems, extensive model monitoring metrics, and extensible API support; pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production.
Markdown twin · arthur-engine alternatives · ai-gateway alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | arthur-engine | ai-gateway |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 12, 2026 · github_public_v1 | Very active (2d since push) As of Sep 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings 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
- arthur-engine
- Monitoring and governing for your AI/ML
- ai-gateway
- Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
Stars
- arthur-engine
- 89
- ai-gateway
- 256
Forks
- arthur-engine
- 16
- ai-gateway
- 35
Open issues
- arthur-engine
- 16
- ai-gateway
- 68
Language
- arthur-engine
- Python
- ai-gateway
- Go
Adopt for
- arthur-engine
- The Arthur Engine monitors AI/ML workloads with a focus on guardrails for LLM applications, evaluation of agentic systems, extensive model monitoring metrics, and extensible API support.
- ai-gateway
- ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment.
Persona
- arthur-engine
- -
- ai-gateway
- -
Runtime
- arthur-engine
- -
- ai-gateway
- -
License
- arthur-engine
- MIT License, allowing free use and modification of the tool's codebase under the terms of this license.
- ai-gateway
- Apache-2.0 - a permissive free software license
Last pushed
- arthur-engine
- Sep 12, 2026
- ai-gateway
- Sep 10, 2026
Categories
- arthur-engine
- Evaluation & Observability, Model Training
- ai-gateway
- Inference & Serving, Model Training
Trust and health
Days since push
- arthur-engine
- 0d
- ai-gateway
- 2d
Open issues (now)
- arthur-engine
- 16
- ai-gateway
- 68
Stars delta
- arthur-engine
- +3 (30d)
- ai-gateway
- +37 (30d)
Open issues delta
- arthur-engine
- -16 (30d)
- ai-gateway
- +5 (30d)
OSV dependency advisories
- arthur-engine
- No lockfile (source not queried)
- ai-gateway
- Published findings
Full report
- arthur-engine
- Trust report
- ai-gateway
- Trust report
Choose arthur-engine if…
- arthur-engine is primarily Python; ai-gateway is Go.
- License: arthur-engine is MIT, ai-gateway is Apache-2.0.
- Tags unique to arthur-engine: agentic, benchmarking, evaluation, genai.
- Also covers Evaluation & Observability.
- When developing or managing large language models that require real-time detection of sensitive data leakage, hallucination, or prompt injection.
When NOT to use arthur-engine
- Avoid if the project does not require real-time monitoring and evaluation on live data streams.
- Not suitable for teams that prefer minimalistic setups over comprehensive services with wide-ranging capabilities.
- It may be overkill for organizations focused exclusively on model training without subsequent need for ongoing monitoring or governance.
Choose ai-gateway if…
- ai-gateway is primarily Go; arthur-engine is Python.
- License: ai-gateway is Apache-2.0, arthur-engine is MIT.
- Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
- Also covers Inference & Serving.
- When you need to integrate more than 30 different LLM services including OpenAI and Anthropic
When NOT to use ai-gateway
- If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features
- For small-scale projects that do not require comprehensive cost analysis tools
- When custom integration for specific guardrails is required, as ai-gateway offers generalized settings
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (arthur-ai/arthur-engine) · observed Sep 20, 2026
- GitHub forks (arthur-ai/arthur-engine) · observed Sep 20, 2026
- Last push (arthur-ai/arthur-engine) · observed Sep 12, 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 (ferro-labs/ai-gateway) · observed Sep 20, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Sep 20, 2026
- Last push (ferro-labs/ai-gateway) · observed Sep 10, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: arthur-engine 89 · ai-gateway 256 (synced Sep 20, 2026).
Common questions
- What is the difference between arthur-engine and ai-gateway?
- arthur-engine: Monitoring and governing for your AI/ML. ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. See the comparison table for live GitHub stats and shared categories.
- When should I choose arthur-engine over ai-gateway?
- Choose arthur-engine over ai-gateway when arthur-engine is primarily Python; ai-gateway is Go; License: arthur-engine is MIT, ai-gateway is Apache-2.0; Tags unique to arthur-engine: agentic, benchmarking, evaluation, genai; Also covers Evaluation & Observability; When developing or managing large language models that require real-time detection of sensitive data leakage, hallucination, or prompt injection.
- When should I choose ai-gateway over arthur-engine?
- Choose ai-gateway over arthur-engine when ai-gateway is primarily Go; arthur-engine is Python; License: ai-gateway is Apache-2.0, arthur-engine is MIT; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Inference & Serving; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
- When should I avoid arthur-engine?
- Avoid if the project does not require real-time monitoring and evaluation on live data streams. Not suitable for teams that prefer minimalistic setups over comprehensive services with wide-ranging capabilities. It may be overkill for organizations focused exclusively on model training without subsequent need for ongoing monitoring or governance.
- When should I avoid ai-gateway?
- If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings
- Is arthur-engine or ai-gateway more popular on GitHub?
- ai-gateway has more GitHub stars (256 vs 89). Stars measure visibility, not whether either tool fits your constraints.
- Are arthur-engine and ai-gateway open source?
- Yes - both are open-source projects on GitHub (arthur-engine: MIT, ai-gateway: Apache-2.0).
- Where can I find alternatives to arthur-engine or ai-gateway?
- GraphCanon lists graph-backed alternatives at arthur-engine alternatives and ai-gateway alternatives (arthur-engine markdown twin, ai-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, arthur-engine or ai-gateway?
- arthur-engine: Very active. ai-gateway: Very active. 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 arthur-engine and ai-gateway?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arthur-engine trust report; ai-gateway trust report.