Evidently AI vs W&B Weave
Evidently AI
evidentlyai.com
W&B Weave
site.wandb.aiSide by side
| Figure | Evidently AI | W&B Weave |
|---|---|---|
| Price from | $80/mo | $60/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 4 |
| Spec score · Model Monitoring Software | 9.3 (#1) | 8.6 (#10) |
| Spec score · LLM Observability Tools | 9.3 (#2) | 8.6 (#9) |
| Documentation depth | The documentation includes getting-started guides, metric catalogs, cookbook examples, evaluation guides, FAQs and a changelog. | The support center lists a dedicated Weave section with 16 articles and eight tags. |
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | The deployment guide lists integrations for OpenAI, Anthropic, Cohere, Mistral, LangChain, LlamaIndex, DSPy, Google Gemini, Amazon Bedrock, Together and Groq. |
| Purpose | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. | W&B Weave provides observability and continuous improvement tools for production AI agents. |
| Rating on G2 | 5.0 out of 5 from 1 review | 4.5 out of 5 from 83 reviews |
| Support | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. | The Pro plan includes priority email and chat support, while Enterprise includes an enterprise support package. |
| Tracing | Open-source tracing records inputs, outputs, intermediate events and function calls, and allows traces to be exported as tabular datasets. | Weave organizes traces into sessions and turns and represents steps, tools, and sub-agents as first-class concepts. |
| What it does | Evidently evaluates, tests and monitors LLM applications, RAG systems, AI agents and predictive machine-learning models. | W&B Weave provides observability, evaluation and continuous-improvement tooling for production AI agents and LLM applications. |
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.
W&B Weave
W&B Weave provides observability and continuous-improvement tools for production AI agents. It structures traces as sessions and turns, with steps, tools, and sub-agents represented individually. Built-in and custom signals classify interactions, and alerts can be sent through Slack notifications or webhook automations. Its evaluation tools compare results and visualize regressions before deployment; the Playground lets teams compare models and prompting methods against production traces. Safety scorers cover toxicity, bias, personal information, and hallucinations, while quality scorers assess coherence, fluency, and context relevance. Weave works with LangChain and LlamaIndex and supports models from OpenAI, Meta, Amazon Bedrock, and Anthropic. Python and TypeScript libraries are available, as is OpenTelemetry trace submission through an OTLP endpoint. Weave runs on API, Linux, macOS, self-hosted, web, and Windows platforms. The Free plan costs nothing and includes 1 GB of monthly ingestion and 5 GB of storage. Pro costs $60 a month, with 1.5 GB of monthly ingestion; extra ingestion costs $0.10 per MB. A 30-day trial is listed.