LangWatch vs Traceloop
LangWatch
langwatch.aiTraceloop
traceloop.comSide by side
| Figure | LangWatch | Traceloop |
|---|---|---|
| Price from | €29/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · AI Agent Observability Tools | 9.1 (#5) | 8.1 (#18) |
| Spec score · Llm Monitoring | 8.9 (#7) | 8.1 (#14) |
| 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. |
| Support | Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support. | The Enterprise plan includes dedicated Slack support, according to the pricing page. |
| What it does | LangWatch is an AI-agent engineering platform for testing, evaluating, observing, governing and improving agents across development and production. | Traceloop monitors, evaluates, debugs and tests LLM applications and agents in production. |
Plans
In their own words
LangWatch
LangWatch is an AI agent engineering platform for teams preparing agents for production. Simulations cover multi-turn conversations, tool use, recovery, and business outcomes before launch. Evaluations can run on datasets, production traffic, or in CI/CD workflows that gate merges. Traces show agent steps alongside cost, tokens, duration, errors, evaluations, and annotations. Integrations include Python and TypeScript SDKs, OpenTelemetry, REST ingestion, model providers, and frameworks such as LangGraph, LangChain, CrewAI, and DSPy. Voice-agent testing supports OpenAI Realtime, Gemini, ElevenLabs, Google Live API, Pipecat, WebSocket bots, and Twilio. Deployment options are managed cloud, self-hosted, and hybrid; self-hosting uses Docker Compose and the customer’s ClickHouse. LangWatch is open source under Apache 2.0. The Developer plan costs nothing and includes 50k events per month, 14-day data access, and two users. Growth costs €29 a month per core seat and includes 200k events. The trust center lists encryption, access controls, privacy features, and enterprise DPAs.