Helicone vs LangSmith
Helicone and LangSmith are both great platforms for building AI apps. We are building Lunary to be the best observability and monitoring tool for AI chatbots. We added it to the comparison below so you can get an idea of how it compares.
Quick look
What people dislike about Helicone and LangSmith
Helicone
- Adds latency & point of failure to requests
- Prompts are not free
- No chatbot analytics features
- Lack of privacy-protection features
- Lack of Enterprise features such as RBAC
LangSmith
- Super confusing dashboard
- Requires a lot of configuration
- Complicated integration outside of LangChain
- Enterprise plans start at $75k
- No support for startups and individuals
Pricing
Pricing comparison
Helicone | LangSmith | Lunary | |
Pro plan begins at | $20 | $39 | $20 |
Features
Helicone vs LangSmith: side by side
Helicone | LangSmith | Lunary | |
Open SourceThe source code can be reviewed and people can contribute to it. | ✅ | ❌ | ✅ |
Self HostableDeploy on your own infrastructure to maintain full control over costs and data privacy. | ✅ | ⚠️ Only for very large companies on 6-figure plans. | ✅ |
1-line IntegrationGet started in 2 minutes reporting data. | ⚠️ Proxy mode: adds latency and point of failure | ⚠️ Only for LangChain | ✅ |
Prompt PlaygroundExperiment and play with prompts in the dashboard. | ✅ | ✅ | ✅ |
Prompt TemplatesManage prompt templates with versioning. | ⚠️ Available as a paid add-on. | ✅ | ✅ |
Chat ReplaysReplay user conversations and interactions with your chatbot. | ❌ | ❌ | ✅ |
AnalyticsTrack your LLM usage with analytics. | ✅ | ✅ | ✅ |
Topic ClassificationClassify conversations into topics. | ❌ | ❌ | ✅ |
Agent TracingDebug LLM agents with powerful nested tracing. | ⚠️ Very limited, no auto-instrumentation with decorators or LangChain callback handler. | ✅ | ✅ |
Custom DashboardsCreate custom dashboards to share insights with your team. | ❌ | ✅ | ✅ |
Score LLM responsesEasily score conversations in 1 line of code based on custom criterias or evaluation metrics. | ✅ | ✅ | ✅ |
PII MaskingAutomatically mask PII data in your conversations while keeping all the data local. | ❌ | ⚠️ Requires custom code and complicated configuration. | ✅ |
User TrackingIdentify and review conversations from each user. | ✅ | ❌ | ✅ |
Feedback TrackingCollect feedback directly from your users. | ✅ | ✅ | ✅ |
BootstrappedThe company cares more about customers than investors. | ❌ | ❌ | ✅ |
Trusted
Lunary customers and usecases
Because Lunary is a flexible, customizable, and reliable solution, we have customers all the way from 2-person startups to billion dollar companies like DHL and Bandwidth.
More than 5000 AI developers chose Lunary to build better chatbots
Building an AI chatbot?
Open-source GenAI monitoring, prompt management, and magic.
Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
Open Source
Self Hostable
1-line Integration
Prompt Templates
Chat Replays
Analytics
Topic Classification
Agent Tracing
Custom Dashboards
Score LLM responses
PII Masking
Feedback Tracking
LangSmith might not be the best for your use case. Read our blog post on alternatives to LangSmith to see what other tools are out there.
