Deepchecks vs Evidently AI
Deepchecks
deepchecks.com
Evidently AI
evidentlyai.comSide by side
| Figure | Deepchecks | Evidently AI |
|---|---|---|
| Price from | Free | $80/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 | 8 | 5 |
| Spec score · Machine Learning Model Monitoring Software | 8.9 (#2) | 9.2 (#1) |
| Spec score · Model Monitoring Software | 8.9 (#6) | 9.3 (#1) |
| Company profile | LinkedIn lists Deepchecks as a privately held software-development company founded in 2019 with 11–50 employees and now within Check Point. | LinkedIn lists Evidently AI as a privately held software-development company headquartered in San Francisco, with 2–10 employees and a 2020 founding year. |
| Integrations | The integrations page describes Deepchecks integrations with pytest, Apache Airflow, ZenML, and CML. | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. |
| Rating on G2 | Deepchecks scores 4.4 out of 5 from 22 reviews. | 5.0 out of 5 from 1 review |
| Self-hosting | The monitoring service can be self-hosted with Docker containers and docker-compose, while SaaS users skip local service installation. | A local or remote Evidently service can be run with filesystem, SQLite, Postgres or other SQL-like storage, plus S3-compatible backends. |
| What it does | Deepchecks provides enterprise AI testing, observability and monitoring for production AI systems and LLM applications. | Evidently evaluates, tests and monitors LLM applications, RAG systems, AI agents and predictive machine-learning models. |
Plans
Deepchecks
- BasicFree
- Open-Source MonitoringFree
- Startup MonitoringPriced on request
- BasicPriced on request
- Dedicated MonitoringPriced on request
- EnterprisePriced on request
- Partnership MonitoringPriced on request
- ScalePriced on request
Evidently AI
- DeveloperFree
- Open-sourceFree
- Pro$80 a month
- EnterprisePriced on request
- StartupsPriced on request
In their own words
Deepchecks
Deepchecks has no write-up on Specifiction yet; its figures are above.
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.