Leaderboards is a web application that allows users to discover, compare, and evaluate machine learning models and community-created ML apps. Below are 10 llm eval & observability apps with similar functionality to Leaderboards, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
La Leaderboard is a web application that allows users to browse, filter, and analyze the results and performance metrics of large language models. It includes features for comparing models, viewing runtime and CO₂ impact, and entering custom results, serving AI researchers and practitioners.
Deep Reinforcement Learning Leaderboard is a web application that displays a searchable leaderboard of reinforcement learning models, showing key metrics such as mean reward and standard deviation. It is designed for researchers and practitioners to compare RL model performance.
ThaiLLM Leaderboard is a web-based platform for displaying, comparing, and submitting AI benchmark results across tasks such as Exam, NLU, and NLG. It provides insights and facilitates evaluation for AI researchers and data scientists.
Open LLM Leaderboard is a web application that allows users to compare, filter, and evaluate open-source language models based on various benchmarks. It provides interactive tools for AI researchers and practitioners to assess model performance and make informed choices.
Open VLM Leaderboard is a web application that allows users to view, filter, and compare the performance of vision-language models on various datasets and evaluation metrics. It is designed for AI researchers and practitioners to benchmark and analyze model results interactively.
Yet Another LLM Leaderboard is a web app that allows users to compare and evaluate large language models using various benchmarks and metrics. It provides an interactive leaderboard and is designed for AI researchers and practitioners interested in model performance.
Open PL LLM Leaderboard is a web-based tool that allows users to compare large language models based on their performance on various benchmarks. It provides interactive filtering and detailed scores for AI researchers and practitioners.
FINAL Bench Leaderboard is a web app for browsing and comparing the performance of AI models on functional metacognition tasks. Users can sort and filter results to analyze model strengths and weaknesses, supporting AI researchers in model evaluation.
Open LLM Leaderboard is a web application that displays and analyzes benchmark data for large language models. Users can view, filter, and compare model performance metrics over time, supporting AI researchers and practitioners in evaluating LLMs.
Multilingual Leaderboards is a web application for viewing, searching, and filtering leaderboards that rank Arabic and Hindi language models on generative tasks. Users can also submit their own models for evaluation, making it a valuable tool for AI researchers and NLP practitioners.
