Best LangSmith Alternatives in 2026
Compare 12+ alternatives to LangSmith. Find the perfect AI Development tool for your needs.
LangSmith
The platform for agent engineering
FREEMIUM
12 Alternatives to LangSmith
What matters most to you?
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#1 Pick
Hotjar AI
Data Analysis
78%
Quality Score
#2 Pick
ThoughtSpot
Data Analysis
73%
Quality Score
#3 Pick
Mixpanel
Data Analysis
72%
Quality Score
Dataiku
Data Analysis
68%
Quality Score
Amplitude AI
Data Analysis
68%
Quality Score
Celonis AI
Data Analysis
68%
Quality Score
Weights & Biases
MLOps
67%
Quality Score
Akkio
Data Analysis
65%
Quality Score
Konux AI
Data Analysis
60%
Quality Score
Blackshark AI
Data Analysis
60%
Quality Score
MakinaRocks
Data Analysis
50%
Quality Score
* Quality Scores are based on 6 dimensions (ease of use, output quality, value, customizability, support, integrations) from public data. How we score →
Frequently Asked Questions
What are the best alternatives to LangSmith?
The best alternatives depend on your specific needs. For AI Development, there are several strong options with different strengths. Consider factors like pricing, features, and your specific use case when choosing.
Is there a free alternative to LangSmith?
Yes, there are several free alternatives available. Many tools offer generous free tiers or trial periods. Look for options marked as "Free" or "Freemium" in our list to find tools that won't cost you anything to get started.
What's cheaper than LangSmith?
Several alternatives offer lower pricing than LangSmith. Use the "Cheaper" filter to see all options below this price point. Consider what features you actually need to find the best value.
Which LangSmith alternative has the best reviews?
User reviews vary based on use case and expectations. Use the "Higher Rated" filter to see alternatives with better overall ratings. Remember to read recent reviews that match your intended use case.
Can I switch from LangSmith to another tool easily?
Switching difficulty varies by tool. Many alternatives offer migration guides or import features. Before committing, try free trials to ensure the new tool meets your needs. Consider data portability and learning curve when making your decision.