Home/Compare/ai-gateway vs oss-llmops-stack

Comparison

ai-gateway vs oss-llmops-stack

Verdict

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 environment; pick oss-llmops-stack if the OSS LLMOps Stack is designed for managing and unifying LLM APIs with LiteLLM, and providing detailed observability through Langfuse.

Markdown twin · ai-gateway alternatives · oss-llmops-stack alternatives

GraphCanon updated Sep 20, 2026

9views this month

ai-gateway logo

ai-gateway

ferro-labs/ai-gateway

★ 256pushed Sep 10, 2026
vs
oss-llmops-stack logo

oss-llmops-stack

langfuse/oss-llmops-stack

★ 152pushed Jul 28, 2026

Trust & integrity

Signalai-gatewayoss-llmops-stack
Maintenance
Very active (2d since push)
As of Sep 12, 2026 · github_public_v1
Steady (53d since push)
As of Sep 20, 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 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 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

ai-gateway
Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
oss-llmops-stack
Modular open source LLMOps stack for LLM API unification, observability and prompt management

Stars

ai-gateway
256
oss-llmops-stack
152

Forks

ai-gateway
35
oss-llmops-stack
8

Open issues

ai-gateway
68
oss-llmops-stack
1

Language

ai-gateway
Go
oss-llmops-stack
-

Adopt for

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.
oss-llmops-stack
The OSS LLMOps Stack is designed for managing and unifying LLM APIs with LiteLLM, and providing detailed observability through Langfuse.

Persona

ai-gateway
-
oss-llmops-stack
-

Runtime

ai-gateway
-
oss-llmops-stack
-

License

ai-gateway
Apache-2.0 - a permissive free software license
oss-llmops-stack
MIT

Last pushed

ai-gateway
Sep 10, 2026
oss-llmops-stack
Jul 28, 2026

Categories

ai-gateway
Inference & Serving, Model Training
oss-llmops-stack
Evaluation & Observability, Inference & Serving

Trust and health

Maintenance

ai-gateway
Very active (96%)
oss-llmops-stack
Steady (60%)

Days since push

ai-gateway
2d
oss-llmops-stack
53d

Open issues (now)

ai-gateway
68
oss-llmops-stack
1

Stars delta

ai-gateway
+37 (30d)
oss-llmops-stack
+10 (30d)

Open issues delta

ai-gateway
+5 (30d)
oss-llmops-stack
0 (30d)

OSV dependency advisories

ai-gateway
Published findings
oss-llmops-stack
No lockfile (source not queried)

Full report

ai-gateway
Trust report
oss-llmops-stack
Trust report

Choose ai-gateway if…

  • License: ai-gateway is Apache-2.0, oss-llmops-stack is MIT.
  • Tags unique to ai-gateway: litellm, llm-cost, llm-proxy, openai-compatible.
  • Also covers Model Training.
  • 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

Choose oss-llmops-stack if…

  • License: oss-llmops-stack is MIT, ai-gateway is Apache-2.0.
  • Requirements: Ensure your environment supports both LiteLLM and Langfuse functionalities for seamless operation of the OSS LLMOps Stack.; Consider server capacity to handle the additional load introduced by using this stack for API unification and observability services..
  • Tags unique to oss-llmops-stack: llm-evaluation, open-source, prompt-management.
  • Also covers Evaluation & Observability.
  • When you need to unify Multiple Large Language Model (LLM) APIs using LiteLLM's API mediation capabilities for efficient routing, cost control, and high-availability support.

When NOT to use oss-llmops-stack

  • If your operational requirements are simple and you do not need comprehensive observability metrics or advanced LLM API unification capabilities provided by the stack.
  • In scenarios where you prefer a proprietary software solution over an open-source tool for security, support, or compliance reasons.

Explore

Sources

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

GitHub stars on cards: ai-gateway 256 · oss-llmops-stack 152 (synced Sep 20, 2026).

Common questions

What is the difference between ai-gateway and oss-llmops-stack?
ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. oss-llmops-stack: Modular open source LLMOps stack for LLM API unification, observability and prompt management. See the comparison table for live GitHub stats and shared categories.
When should I choose ai-gateway over oss-llmops-stack?
Choose ai-gateway over oss-llmops-stack when License: ai-gateway is Apache-2.0, oss-llmops-stack is MIT; Tags unique to ai-gateway: litellm, llm-cost, llm-proxy, openai-compatible; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
When should I choose oss-llmops-stack over ai-gateway?
Choose oss-llmops-stack over ai-gateway when License: oss-llmops-stack is MIT, ai-gateway is Apache-2.0; Requirements: Ensure your environment supports both LiteLLM and Langfuse functionalities for seamless operation of the OSS LLMOps Stack.; Consider server capacity to handle the additional load introduced by using this stack for API unification and observability services.; Tags unique to oss-llmops-stack: llm-evaluation, open-source, prompt-management; Also covers Evaluation & Observability; When you need to unify Multiple Large Language Model (LLM) APIs using LiteLLM's API mediation capabilities for efficient routing, cost control, and high-availability support.
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
When should I avoid oss-llmops-stack?
If your operational requirements are simple and you do not need comprehensive observability metrics or advanced LLM API unification capabilities provided by the stack. In scenarios where you prefer a proprietary software solution over an open-source tool for security, support, or compliance reasons.
Is ai-gateway or oss-llmops-stack more popular on GitHub?
ai-gateway has more GitHub stars (256 vs 152). Stars measure visibility, not whether either tool fits your constraints.
Are ai-gateway and oss-llmops-stack open source?
Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, oss-llmops-stack: MIT).
Where can I find alternatives to ai-gateway or oss-llmops-stack?
GraphCanon lists graph-backed alternatives at ai-gateway alternatives and oss-llmops-stack alternatives (ai-gateway markdown twin, oss-llmops-stack 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, ai-gateway or oss-llmops-stack?
ai-gateway: Very active. oss-llmops-stack: Steady. 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 ai-gateway and oss-llmops-stack?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; oss-llmops-stack trust report.

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