Comparison
ai-gateway vs sagify
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 sagify if an accessible tool for managing large language models and other machine learning tasks in Python.
Markdown twin · ai-gateway alternatives · sagify alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | ai-gateway | sagify |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Slowing (164d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- sagify
- LLMs and Machine Learning done easily
Stars
- ai-gateway
- 219
- sagify
- 442
Forks
- ai-gateway
- 33
- sagify
- 68
Open issues
- ai-gateway
- 63
- sagify
- 18
Language
- ai-gateway
- Go
- sagify
- Python
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.
- sagify
- An accessible tool for managing large language models and other machine learning tasks in Python.
Persona
- ai-gateway
- -
- sagify
- -
Runtime
- ai-gateway
- -
- sagify
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- sagify
- Offered under the MIT license, allowing broad use for both commercial and non-commercial purposes with few restrictions.
Last pushed
- ai-gateway
- Aug 7, 2026
- sagify
- Feb 11, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- sagify
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- ai-gateway
- Very active (96%)
- sagify
- Slowing (36%)
Days since push
- ai-gateway
- 2d
- sagify
- 164d
Open issues (now)
- ai-gateway
- 63
- sagify
- 18
OSV dependency advisories
- ai-gateway
- Published findings
- sagify
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- sagify
- Trust report
Choose ai-gateway if…
- ai-gateway is primarily Go; sagify is Python.
- License: ai-gateway is Apache-2.0, sagify is MIT.
- Tags unique to ai-gateway: litellm, llm-cost, llm-proxy, openai-compatible.
- 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 sagify if…
- sagify is primarily Python; ai-gateway is Go.
- License: sagify is MIT, ai-gateway is Apache-2.0.
- Requirements: Requires Docker; - Requires Docker to manage environments consistently across different platforms..
- Tags unique to sagify: anthropic, cohere, generative-ai, langchain.
- Also covers LLM Frameworks.
- - When you need an integrated solution for various aspects of working with LLMs and ML tasks that is easy to understand and use, without deep technical expertise.
When NOT to use sagify
- - When your focus is exclusively on advanced fine-tuning or customization of machine learning models which require deep configuration options tailored to specific needs.
- - If you prioritize working within a highly specialized ML ecosystem that has its own set of tools and workflows, as Sagify might not integrate seamlessly with every specialized tool.
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 Aug 9, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Aug 9, 2026
- Last push (ferro-labs/ai-gateway) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Kenza-AI/sagify) · observed Jul 26, 2026
- GitHub forks (Kenza-AI/sagify) · observed Jul 26, 2026
- Last push (Kenza-AI/sagify) · observed Feb 11, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ai-gateway 219 · sagify 442 (synced Aug 9, 2026).
Common questions
- What is the difference between ai-gateway and sagify?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. sagify: LLMs and Machine Learning done easily. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over sagify?
- Choose ai-gateway over sagify when ai-gateway is primarily Go; sagify is Python; License: ai-gateway is Apache-2.0, sagify is MIT; Tags unique to ai-gateway: litellm, llm-cost, llm-proxy, openai-compatible; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
- When should I choose sagify over ai-gateway?
- Choose sagify over ai-gateway when sagify is primarily Python; ai-gateway is Go; License: sagify is MIT, ai-gateway is Apache-2.0; Requirements: Requires Docker; - Requires Docker to manage environments consistently across different platforms.; Tags unique to sagify: anthropic, cohere, generative-ai, langchain; Also covers LLM Frameworks; - When you need an integrated solution for various aspects of working with LLMs and ML tasks that is easy to understand and use, without deep technical expertise.
- 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 sagify?
- - When your focus is exclusively on advanced fine-tuning or customization of machine learning models which require deep configuration options tailored to specific needs. - If you prioritize working within a highly specialized ML ecosystem that has its own set of tools and workflows, as Sagify might not integrate seamlessly with every specialized tool.
- Is ai-gateway or sagify more popular on GitHub?
- sagify has more GitHub stars (442 vs 219). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and sagify open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, sagify: MIT).
- Where can I find alternatives to ai-gateway or sagify?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and sagify alternatives (ai-gateway markdown twin, sagify 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 sagify?
- ai-gateway: Very active. sagify: Slowing. 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 sagify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; sagify trust report.