Evidently AI vs LangWatch
Evidently AI
evidentlyai.com
LangWatch
langwatch.aiSide by side
| Figure | Evidently AI | LangWatch |
|---|---|---|
| Price from | $80/mo | €29/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | 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 | 5 | 3 |
| Spec score · Model Monitoring Software | 9.3 (#1) | 9.0 (#5) |
| Spec score · AI LLM Evaluation Tools | 9.3 (#2) | 9.1 (#6) |
| Spec score · LLM Observability Tools | 9.3 (#2) | 9.0 (#6) |
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | Official integrations cover OpenAI, Anthropic, Google Gemini, Bedrock, Azure OpenAI, Vertex AI, Groq, Ollama and LiteLLM. |
| Open source | The Evidently framework is fully open-source under the Apache 2.0 license. | The site describes LangWatch as open source under Apache 2.0. |
| Rating on G2 | 5.0 out of 5 from 1 review | 0.0 out of 5 from 0 reviews |
| Rating on Product Hunt | 5.0 out of 5 from 2 reviews | 5.0 out of 5 from 5 reviews |
| Self-hosting | A local or remote Evidently service can be run with filesystem, SQLite, Postgres or other SQL-like storage, plus S3-compatible backends. | Self-hosting is available with a Node.js command for local use and Docker, Kubernetes/Helm or VPC deployment options. |
| Support | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. | Developer users receive GitHub and Discord community support, while Growth includes private Slack or Teams support. |
| What it does | Evidently evaluates, tests and monitors LLM applications, RAG systems, AI agents and predictive machine-learning models. | LangWatch is an AI-agent engineering platform for testing, evaluating, observing, governing and improving agents across development and production. |
Plans
Evidently AI
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
In their own words
Evidently AI
Evidently AI evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. Its open-source Python framework is licensed under Apache 2.0 and provides more than 100 evaluation metrics. Automated evaluations measure output quality, safety, and reliability, can run in pipelines, and produce visual reports. The platform includes tracing, storage for application data and evaluation runs, test-dataset management, and dashboards. Teams can generate realistic, edge-case, or adversarial inputs tailored to a use case. Live monitoring tracks quality checks and can surface drift, regressions, and emerging risks. Red-team testing targets jailbreaks, prompt injections, data leaks, harmful content, and prompt leakage. Predictive ML workflows include performance, drift, and data-quality metrics. Evidently Cloud can send alerts to Slack, Discord, and email. Open-source support is through Discord and documentation; Pro includes email support. The Developer plan is free and limited to 10,000 rows per month, 1GB of snapshots, 3 projects, and 2 seats. Pro costs $80 a month, with additional rows and storage charged separately.
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.