Evidently AI vs UpTrain
Evidently AI
evidentlyai.comUpTrain
uptrain.aiSide by side
| Figure | Evidently AI | UpTrain |
|---|---|---|
| Price from | $80/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 0 |
| Spec score · AI LLM Evaluation Tools | 9.3 (#2) | 7.0 (#28) |
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | The official documentation describes integrations with LlamaIndex and Langfuse. |
| Open source | The Evidently framework is fully open-source under the Apache 2.0 license. | The company says its core evaluation framework is open source. |
| Privacy and security | Evidently AI says it uses reasonable steps to keep personal data secure and transfers data only where adequate controls are in place. | The privacy policy says UpTrain uses administrative, managerial, and technical security measures and limits staff access to data on a need-to-know basis. |
| Support | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. | The documentation directs users to its Slack community for questions and requests. |
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.