LangWatch vs OpenLIT
LangWatch
langwatch.aiOpenLIT
openlit.ioSide by side
| Figure | LangWatch | OpenLIT |
|---|---|---|
| Price from | €29/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 3 |
| Spec score · AI Agent Observability Tools | 9.1 (#5) | 8.5 (#9) |
| Spec score · AI LLM Observability Tools | 9.1 (#4) | 8.5 (#8) |
| Spec score · Model Monitoring Software | 9.0 (#5) | 8.4 (#13) |
| Spec score · LLM Observability Tools | 9.0 (#6) | 8.5 (#10) |
| Spec score · Llm Monitoring | 8.9 (#7) | 8.4 (#11) |
| Company headquarters | LinkedIn lists headquarters at Herengracht 551, Amsterdam, Netherlands. | Crunchbase places OpenLIT in New Delhi, Delhi, India. |
| Company legal name | Crunchbase identifies the operating legal entity as Reasoning Engine B.V. | Crunchbase lists the legal name as OpenLIT and operating status as active. |
| Company size | LinkedIn lists the company size as 11–50 employees. | Crunchbase lists the company size as 1–10 employees. |
| Deployment | LangWatch offers managed cloud, self-hosted, and hybrid deployment; its pricing page says self-hosting uses Docker Compose and the customer's ClickHouse. | The platform can be self-hosted using Docker Compose or Kubernetes Helm and accepts OpenTelemetry data through OTLP. |
| Evaluations | The platform supports offline and online evaluations, CI/CD gates, multimodal scoring, built-in evaluators and custom workflows. | OpenLIT includes built-in evaluations, programmatic evaluations and LLM-as-a-judge workflows that can run locally or in CI. |
| Integrations | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. | The home page advertises more than 56 integrations spanning LLMs, agent frameworks, vector databases and GPUs. |
| Licence | The core platform is Apache 2.0; enterprise modules require a commercial production licence and the SDKs are MIT licensed. | The project is licensed under Apache License 2.0. |
| Prompt management | Prompts can be versioned through code, UI and API, templated with Liquid, synced with GitHub and compared in experiments. | Prompt Hub provides prompt versioning, dynamic variables, API retrieval and AI-assisted prompt improvement. |
| Rating on G2 | 0.0 out of 5 from 0 reviews | 5.0 out of 5 from 1 review. |
| Self-hosting | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. | Docker Compose runs the UI on port 3000, OTLP receivers on ports 4317 and 4318, and ClickHouse for traces, metrics and logs; Kubernetes Helm deployment is also documented. |
| Support | Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support. | The OSS plan includes community support on GitHub. |
| System requirements | The self-host command requires Node.js 24 or newer on macOS or glibc-based Linux. | The local sandbox requires Docker and Docker Compose; Kubernetes users install the published Helm chart. |
| What it does | LangWatch is an AI-agent engineering platform for testing, evaluating, observing, governing and improving agents across development and production. | OpenLIT is an OpenTelemetry-native platform for tracing, evaluating, guarding and improving AI agents and coding agents. |
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.
OpenLIT
OpenLIT is an open-source platform for tracing and evaluating LLM activity, managing prompts, and tracking costs. Built on OpenTelemetry, it can capture model calls, tool use, and retrievals, with filters for user, session, cost, latency, and metadata. Evaluations can use an LLM judge, heuristics, or human review on production traffic or experiments. Prompt Hub provides versioning, dynamic variables, API retrieval, unlimited prompt fetching, and AI-assisted improvement. OpenGround supports side-by-side model comparisons for latency, tokens, and cost, including comparisons using a user’s own key. Coding agent monitoring covers sessions, costs, tokens, repository activity, and code impact. The site lists more than 56 integrations across LLMs, agent frameworks, vector databases, and GPUs. OpenLIT accepts OTLP data and can be self-hosted with Docker Compose or Kubernetes Helm. Its Apache 2.0 license and site description note that self-hosting keeps prompts, traces, and secrets in the user’s environment. The OSS plan costs nothing and includes unlimited self-hosted usage, users, projects, and environments.