LangWatch
8.2#4 in ai agent observability toolsFrom €29 a monthFree planWebAPILinuxmacOS
VisitLangWatch vs Traceloop
What both publish
| Fact | LangWatch | Traceloop |
|---|---|---|
| Deployment | LangWatch offers managed cloud, self-hosted, and hybrid deployment; its pricing page says self-hosting uses Docker Compose and the customer's ClickHouse. | Traceloop says it supports cloud, on-premises, air-gapped, and other restricted deployments, including Kubernetes environments. |
| Evaluations | The platform supports offline and online evaluations, CI/CD gates, multimodal scoring, built-in evaluators and custom workflows. | Traceloop describes built-in quality checks for faithfulness, relevance, and safety, and says users can train custom evaluators on their data. |
| Framework integrations | Framework support includes OpenAI Agents, LangGraph, LangChain, CrewAI, Pydantic AI, Agno, Mastra, Vercel AI SDK, Google ADK, LangFlow and Flowise. | Supported frameworks include LangChain, LlamaIndex, CrewAI, Haystack, LiteLLM, Agno and OpenAI Agents. |
| Funding | Crunchbase lists LangWatch as a private pre-seed company with two funding rounds and investors including Volta Ventures and Antler. | The company’s About page names Y Combinator, Ibex Investors, Sorenson Capital, Samsung Next, Grand Ventures and other backers. |
| Integrations | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. | OpenLLMetry supports providers including OpenAI, Anthropic, Bedrock, Gemini, Cohere, Mistral, Ollama and Vertex AI. |
| Open source | The site describes LangWatch as open source under Apache 2.0. | OpenLLMetry is an open-source observability project built on OpenTelemetry, and its traces can be exported to Traceloop or another observability stack. |
| Product | LangWatch describes itself as an AI agent engineering platform for helping teams ship reliable agents to production. | Traceloop describes its platform as a monitoring, debugging, and evaluation solution for LLM applications. |
| Prompt management | Prompts can be versioned through code, UI and API, templated with Liquid, synced with GitHub and compared in experiments. | The platform includes prompt management and a prompt registry for storing and fetching prompt configurations. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 5 out of 5 from 2 reviews. |
| Security | The trust center states AES-256 encryption at rest, TLS 1.2+ in transit, AWS KMS, RBAC, MFA, SSO, encrypted backups and GDPR controls. | The homepage states that Traceloop is SOC 2 and HIPAA compliant. |
| Self-hosting | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. | Full-platform self-hosting uses Kubernetes with ClickHouse, Kafka, PostgreSQL and S3-compatible storage, including air-gapped deployments. |
LangWatch plans
- DeveloperFree
- Growth€29 a month
- EnterprisePriced on request
Traceloop plans
- Free ForeverFree
- EnterprisePriced on request
Pick LangWatch if…
LangWatch suits AI teams shipping agents, including developers, product owners, QA, and domain experts working on evaluation workflows. Teams can choose managed cloud, self-hosted, or hybrid deployment.
Pick Traceloop if…
It suits teams developing and operating LLM applications that need tracing, quality evaluation, and release checks. Self-hosted and restricted deployment options support controlled environments.