Langfuse
Open Source LLM Engineering Platform
Replicate
Version control for machine learning
Updated February 2026
| Langfuse | Replicate | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 41 | 3 |
| Pros | 18 | 0 |
| FactScore™ | 81.2 | 30.1 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Langfuse — Pros
LLM observability Open source Detailed tracing Monitoring capabilities Cost-effective Easy to integrate Free tier SDK availability Seamless integration Debugging tools Fast iterations Insightful analytics Community engagement Detailed analytics Excellent UI Flexible architecture Open API Robust telemetryBoth tools — Pros
—Only in Replicate — Pros
No unique pros listedOnly in Langfuse — Cons
—Both tools — Cons
—Only in Replicate — Cons
—Details
| Langfuse | Replicate | |
|---|---|---|
| Categories | AI Infrastructure Tools, AI Metrics and Evaluation | AI Infrastructure Tools |
| Platforms | Web | Web |
| Became Popular | August 20, 2023 | November 20, 2020 |
| Website | langfuse.com | replicate.ai |
Who Should Pick Which?
Choose Langfuse if...
- LLM observability
- Open source
- Detailed tracing
Choose Replicate if...
- No unique pros listed
With a FactScore™ of 81.2 vs 30.1, Langfuse leads in community reception. Langfuse uniquely offers LLM observability and Open source, while Replicate stands out for No unique pros listed.
What Users Say
Langfuse
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into ...
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-f...
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
Replicate
Replicate hosted models are great for serverless inferences. Very easy to integrate!
Replicate lets us run AI models without worrying about infrastructure. It’s perfect for testing crowd prediction models without spinning up full cloud stacks.
是一個專門為資料科學和機器學習開發的版本控制工具,，可以幫助資料查找和機器學習工程師追蹤和管理模型和數據。不需要另外安裝或維護任何資料庫，可以有效地管理工作流程，讓模型和數據可以更準確追蹤
Related Comparisons
Frequently Asked Questions
Which is better, Langfuse or Replicate?
Based on FactScore™, Langfuse leads with a score of 81.2 vs 30.1. Langfuse has a higher rating of 5.0★ compared to 5.0★.
What are the pros of Langfuse compared to Replicate?
Langfuse uniquely offers: LLM observability, Open source, Detailed tracing, Monitoring capabilities, Cost-effective.
What are the pros of Replicate compared to Langfuse?
Replicate uniquely offers: No unique pros listed.
Is Langfuse better rated than Replicate?
Langfuse is rated 5.0★ from 41 reviews. Replicate is rated 5.0★ from 3 reviews.
What is the FactScore™ of Langfuse and Replicate?
FactScore™ weighs rating and review volume together. Langfuse scores 81.2 and Replicate scores 30.1.
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