Comparison
ai-gateway vs ggrun
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 ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Markdown twin · ai-gateway alternatives · ggrun alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | ai-gateway | ggrun |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 12, 2026 · github_public_v1 | Very active (0d 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 · Personal 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 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
- ai-gateway
- Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
- ggrun
- Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server
Stars
- ai-gateway
- 256
- ggrun
- 275
Forks
- ai-gateway
- 35
- ggrun
- 18
Open issues
- ai-gateway
- 68
- ggrun
- 4
Language
- ai-gateway
- Go
- ggrun
- Go
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.
- ggrun
- ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
Persona
- ai-gateway
- -
- ggrun
- -
Runtime
- ai-gateway
- -
- ggrun
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- ggrun
- MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.
Last pushed
- ai-gateway
- Sep 10, 2026
- ggrun
- Sep 19, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- ggrun
- Inference & Serving
Trust and health
Days since push
- ai-gateway
- 2d
- ggrun
- 0d
Open issues (now)
- ai-gateway
- 68
- ggrun
- 4
Stars delta
- ai-gateway
- +37 (30d)
- ggrun
- +11 (30d)
Open issues delta
- ai-gateway
- +5 (30d)
- ggrun
- +3 (30d)
Owner type
- ai-gateway
- Organization
- ggrun
- User
OSV dependency advisories
- ai-gateway
- Published findings
- ggrun
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- ggrun
- Trust report
Choose ai-gateway if…
- License: ai-gateway is Apache-2.0, ggrun is MIT.
- Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
- 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 ggrun if…
- License: ggrun is MIT, ai-gateway is Apache-2.0.
- Pricing: Free to use under MIT license; no direct costs involved in usage..
- Tags unique to ggrun: cuda, gguf, golang, inference-server.
- When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs
When NOT to use ggrun
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
- When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (raketenkater/ggrun) · observed Sep 20, 2026
- GitHub forks (raketenkater/ggrun) · observed Sep 20, 2026
- Last push (raketenkater/ggrun) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ai-gateway 256 · ggrun 275 (synced Sep 20, 2026).
Common questions
- What is the difference between ai-gateway and ggrun?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over ggrun?
- Choose ai-gateway over ggrun when License: ai-gateway is Apache-2.0, ggrun is MIT; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
- When should I choose ggrun over ai-gateway?
- Choose ggrun over ai-gateway when License: ggrun is MIT, ai-gateway is Apache-2.0; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
- 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 ggrun?
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
- Is ai-gateway or ggrun more popular on GitHub?
- ggrun has more GitHub stars (275 vs 256). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and ggrun open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, ggrun: MIT).
- Where can I find alternatives to ai-gateway or ggrun?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and ggrun alternatives (ai-gateway markdown twin, ggrun 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 ggrun?
- ai-gateway: Very active. ggrun: 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 ai-gateway and ggrun?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; ggrun trust report.