Uploading data to Deepchecks has never been easier. Whether you’re a data scientist, a developer, or a non-coder, the platform offers multiple paths to get your LLM application data into Deepchecks for evaluation and monitoring. You can start by uploading CSVs directly through the UI – ideal for quick setup or non-coders. Developers can take advantage of the Python SDK for programmatic integration, while teams already using frameworks with OpenTelemetry can seamlessly stream traces into Deepchecks in real time.
This flexibility means you can choose the method that best fits your workflow without compromise. Whether you need quick manual uploads, tight integration into existing pipelines, or automated observability from agentic frameworks, Deepchecks ensures the process is smooth and efficient. The result: you spend less time moving data around and more time evaluating, observing, and improving your LLM applications.
Yaron Friedman
