LangSmith
AI Agent & LLM Observability Platform
VS
Optax
JAX library for modular gradient processing and optimization in deep learning research.
Detailed comparison
Criteria
LangSmith
Optax
Pricing
Freemium
Free
Plans & pricing
Developer: Free, Team: $39/mo, Enterprise: Custom
—
Free trial
No
—
Audience
b2b
B2B
Platforms
Web
—
API
Yes
—
Open Source
Proprietary
—
Integrations
Pagerduty
—
Categories
Dev & Tech, information technology & services, Apps
Dev & Tech, AI & ML
Popularity
Very High
Low
Description
LangSmith is a complete AI agent and LLM observability platform. It offers tracing and real-time monitoring to help developers debug agents, find fail...
Optax is a JAX library simplifying gradient processing and optimization for machine learning research. It offers modular, re-combinable components to ...
Pricing
LangSmith
Freemium
Optax
Free
Plans & pricing
LangSmith
Developer: Free, Team: $39/mo, Enterprise: Custom
Optax
—
Free trial
LangSmith
No
Optax
—
Audience
LangSmith
b2b
Optax
B2B
Platforms
LangSmith
Web
Optax
—
API
LangSmith
Yes
Optax
—
Open Source
LangSmith
Proprietary
Optax
—
Integrations
LangSmith
Pagerduty
Optax
—
Categories
LangSmith
Dev & Tech, information technology & services, Apps
Optax
Dev & Tech, AI & ML
Popularity
LangSmith
Very High
Optax
Low
Description
LangSmith
LangSmith is a complete AI agent and LLM observability platform. It offers tracing and real-time monitoring to help developers debug agents, find fail...
Optax
Optax is a JAX library simplifying gradient processing and optimization for machine learning research. It offers modular, re-combinable components to ...
Features
LangSmith
Cost tracking
Online LLM-as-judge and code evals
Tool and agent trajectory monitoring
Webhook and Pagerduty alerts
Message threading for multi-turn chat interactions
Templates for error analysis
Optax
Modular building blocks for parametric model optimization
Implementations of popular optimizers (e.g., Adam, RMSprop, AdamW)
Standard deep learning loss functions (e.g., `l2_loss`, `softmax_cross_entropy`)
Supports optimizer schedules, gradient clipping, and gradient noise injection
Key differentiators
LangSmith
- Complete AI agent & LLM observability
- Real-time tracing, debugging & evals
- Cost, latency & trajectory monitoring
Optax
Other comparisons
FAQ: LangSmith vs Optax
LangSmith: AI Agent & LLM Observability Platform. Optax: JAX library for modular gradient processing and optimization in deep learning research.. Both tools take different approaches to address similar needs.
Both offer a free or freemium plan. LangSmith is freemium and Optax is free.
The best choice between LangSmith and Optax depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
LangSmith is primarily designed for individuals, while Optax is built for businesses and professionals.
LangSmith offers: Cost tracking, Online LLM-as-judge and code evals, Tool and agent trajectory monitoring, Webhook and Pagerduty alerts. Optax offers: Modular building blocks for parametric model optimization, Implementations of popular optimizers (e.g., Adam, RMSprop, AdamW), Standard deep learning loss functions (e.g., `l2_loss`, `softmax_cross_entropy`), Supports optimizer schedules, gradient clipping, and gradient noise injection.
Based on our data, LangSmith currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.