Aviationstack is a scalable REST API for real-time flight tracking, historical flight data, airport info, and global aviation data.
About Evidently AI
What is Evidently AI?
Evidently AI is a leading open-source framework for AI evaluation, testing, and monitoring. It helps teams systematically measure the quality, safety, and reliability of generative and predictive AI systems. Rather than trusting models blindly, you can test outputs, catch hallucinations, detect data drift, and prevent risky responses.
Who is it for?
Evidently AI is built for AI/ML engineers, data scientists, and MLOps teams who need to evaluate and monitor LLMs, RAG applications, AI agents, copilots, or traditional ML models. It is ideal for companies moving AI into production and needing to trust their results. It is less suitable for non-technical users who require a fully managed, no-code solution.
Key capabilities and use cases
The platform offers automated evaluations using 100+ built-in metrics — covering hallucinations, factuality, PII leaks, retrieval quality, sentiment, tone, and more. You can also create synthetic test data, set up continuous monitoring dashboards, and run custom evaluations with any prompt, model, or rule. Use cases include testing chatbot safety, monitoring RAG retrieval drift, and validating model performance in production pipelines.
Key features
- Automated evaluation — Systematically measure AI output quality, safety, and reliability with shareable visual reports.
- 100+ built-in metrics — Use pre-built evaluations for hallucinations, factuality, PII detection, retrieval quality, toxicity, and more.
- Synthetic data generation — Create realistic, edge-case, or adversarial inputs tailored to your use case.
- Continuous monitoring — Live dashboards to catch drift, regressions, and emerging risks early.
- Custom evaluations — Design your own AI quality system combining rules, classifiers, and LLM-based evals.
- Multi-framework support — Evaluate LLMs, RAG applications, AI agents, and predictive ML models in a single framework.
SaaSpartout Score
Editorial score from our review methodology — not user ratings.
