Leaderboards is a web application that allows users to discover, compare, and evaluate machine learning models and community-created ML apps. It provides structured leaderboards and evaluation metrics for practitioners and researchers.
Leaderboards sits in PulseGate's LLM eval & observability category. Helping users discover, compare, and evaluate machine learning models and applications. It is built as a consumer product for machine learning practitioners and researchers. Leaderboards is free to use. It ships for the web, and it can be self-hosted.
autoevaluate builds and maintains Leaderboards, and it first shipped in 2023. Key capabilities include model discovery, community apps, and leaderboard comparison.
Summary written by a language model from the project’s public pages.
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