La Leaderboard is a web application that allows users to browse, filter, and analyze the results and performance metrics of large language models. Below are 27 llm eval & observability apps with similar functionality to La Leaderboard, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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.
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.
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 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.
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.
Hebrew LLM Leaderboard is a web application that allows users to view, search, and filter benchmark results for large language models focused on Hebrew. It provides detailed comparisons, filtering by model type, precision, and size, helping researchers and developers evaluate model performance. The tool is designed for the NLP and AI research community.
Open Chinese LLM Leaderboard is a web app for browsing, filtering, and analyzing benchmarks of Chinese large language models. It provides interactive charts and performance trends, helping AI researchers and practitioners compare models efficiently.
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 Multilingual Llm Leaderboard is a web application that enables users to search for and compare the performance of various language models across multiple languages and benchmarks. It is designed for researchers and developers tracking LLM progress.
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.
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.
Big Code Models Leaderboard is a web app for browsing, searching, and comparing open-source code generation models. Users can view detailed scores, filter by model type, and submit new models, making it valuable for AI researchers and developers.
Leaderboard LLM FR is a web application for comparing the performance of open-source French large language models using various benchmarks. Users can filter, vote, and view real-time results, making it a valuable tool for AI researchers and practitioners evaluating LLMs. The platform supports community engagement and transparent model assessment.
Arena Leaderboard is a web-based application that presents LMArena model rankings in a full-screen, user-friendly interface. It enables researchers and practitioners to easily browse and compare model performance.
OpenCompass LLM Leaderboard is a web application that displays benchmark results and performance metrics for large language models on a variety of tasks. It helps AI researchers and developers compare models and track progress in LLM capabilities.
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.
Open VLM Video Leaderboard is a web-based tool for browsing, filtering, and comparing the performance of various video AI models. It provides detailed metrics and dataset-based filtering, supporting researchers and practitioners in evaluating and benchmarking video models.
Open ASR Leaderboard is a web app that displays interactive leaderboards for automatic speech recognition models. Users can filter by language, dataset, and other metrics, making it valuable for researchers and developers evaluating ASR performance.
Open LLM Leaderboard Model Comparator is a web app that allows users to select and compare the performance of different open-source language models on a variety of tasks and metrics. It provides a unified interface for benchmarking, filtering, and analyzing model results, making it useful for researchers and practitioners evaluating LLMs.
Internal European Leaderboard enables users to browse, compare, and filter the accuracy and translation performance of various language models across multiple languages and tasks. It is aimed at AI researchers and practitioners evaluating LLMs.
Open FinLLM Leaderboard is a web-based leaderboard that ranks large language models on financial benchmarks. Users can filter, compare, and evaluate models' performance on various financial tasks, supporting AI researchers and fintech professionals.
NPHardEval Leaderboard is a web application for browsing, searching, and filtering large language model benchmark results. Users can compare models by type, precision, and size, making it easier for AI researchers and ML engineers to evaluate and select models for their needs.
Euro LLM Leaderboard is a web app for searching, viewing, and submitting evaluation results of language models, focusing on European languages. It enables researchers and practitioners to compare models across various criteria and contribute their own results. Ideal for those tracking LLM progress.
Open LMM Reasoning Leaderboard is a web app for browsing, filtering, and comparing math model leaderboards. It enables AI researchers and data scientists to analyze model performance using customizable evaluation metrics.
Student Leaderboard is a web application for educators and course administrators to display and track student scores, ranks, and code submissions for course unit challenges. It provides a transparent way to monitor student progress and performance in educational settings.
Open Persian LLM Leaderboard is a web application that allows users to view, compare, and filter Persian language models by various metrics. It is designed for AI researchers and developers interested in benchmarking and evaluating LLMs for Persian.
MTEB Leaderboard is a web application that allows users to browse, compare, and analyze the performance of language and retrieval models on a variety of benchmarks. It provides interactive tools for selecting benchmarks and models, visualizing scores, and tracking progress in NLP research.
