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Uses specialized explorers to compare thousands of sessions of metrics, images, text, and audio with grouping and Python queries.
Distinct from Visual Data Explorers: Distinct from Visual Data Explorers: focuses on exploring ML experiment runs with specialized explorers, not general big data visualization.
Explore 1 awesome GitHub repository matching data & databases · Experiment Run Explorers. Refine with filters or upvote what's useful.
Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont
Uses specialized explorers to compare thousands of sessions of metrics, images, text, and audio.