GitHubThe home of software development
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
GitHub vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
GitHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 9 versus 0.3 for Langfuse.
Choose GitHub if…
- You want the brand AI engines rank higher (9 vs 0.3)
- You want a lower entry price ($4 vs $29)
- You need SOC 1 Type 2 or SOC 2 Type 2 or ISO/IEC 27001 or CSA STAR Level 2 or PCI DSS or FedRAMP Tailored ATO coverage
- Per seat pricing suits your budget better than usage-based
Choose Langfuse if…
- AI answers describe it more positively (50% vs 48% positive)
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
- Usage-based pricing suits your budget better than per seat
- Discounted cloud pricing for qualifying early-stage startups
AI visibility side by side
Latest weekly run · Nov 2
| Metric | GitHub | Langfuse |
|---|---|---|
| Visibility score | 9% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #11 | #51 |
| Share of voice | 2% | 0.2% |
| Mentions this run | 14 | 1 |
| Positive in AI answers | 48% | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
GitHub 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
GitHub leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
GitHubLangfuse
Head to head in AI answers
0 engine answers name both brands
0GitHub ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | GitHub | Langfuse |
|---|---|---|
| Pricing model | Per seat | Usage-based |
| Entry price | Free; paid from $4 per seat / mo | Free; paid from $29 / mo |
| Free plan | Yes | Yes |
| Deployment | Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Community support (Free plan), Web-based support (Team plan), Premium support with 24/7 web and phone support and a 30-minute SLA on urgent tickets (Enterprise) | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans |
| Founded | 2008 | — |
| Headquarters | San Francisco, California | — |
| Employees | 501–1,000 | — |
| Funding | Round led by Sequoia Capital · $350M raised | Seed · $4M raised |
| Best for | Development teams, from individuals to enterprises, that build, review, and ship software on one platform. | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
GitHub
- Most widely adopted CI/CD tool today
- Native integration with GitHub repositories and pull requests
- Transparent pricing with a generous free tier
- Best default for teams already using GitHub
- High user satisfaction and review scores
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “GitHub vs Langfuse”, https://slateindex.ai/compare/github-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.