LLM Explorer Alternatives

Discover and compare 35,809 open-source language models by filtering parameters, benchmark scores, and memory usage, and explore categorized lists and model details.
LLM Explorer screenshot thumbnail
Airtrain AI screenshot thumbnail

Airtrain AI

If you're looking for an alternative to LLM Explorer, Airtrain AI is a solid option. It offers a no-code platform with an LLM Playground for experimenting with more than 27 models, a Dataset Explorer for data visualization, and AI Scoring for model evaluation. The platform supports fine-tuning and deployment with various pricing tiers, making it accessible for different needs and budgets.

Langfuse screenshot thumbnail

Langfuse

Another great alternative is Langfuse, an open-source platform designed for LLM engineering. It provides tracing, prompt management, evaluation, and analytics, along with a playground for experimentation. Langfuse supports multiple SDKs and integrations, ensuring flexibility for different use cases, and is built with security certifications to ensure compliance.

Humanloop screenshot thumbnail

Humanloop

Humanloop is also worth considering. It focuses on managing and optimizing LLM application development, addressing common pain points such as inefficient workflows and manual evaluation. The platform features a collaborative prompt management system, an evaluation suite, and tools for connecting private data and fine-tuning models, making it suitable for product teams and developers.

These platforms offer robust features similar to LLM Explorer, making them excellent alternatives for exploring, fine-tuning, and deploying language models efficiently.

More Alternatives to LLM Explorer

Predibase screenshot thumbnail

Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

Openlayer screenshot thumbnail

Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.

Keywords AI screenshot thumbnail

Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

LM Studio screenshot thumbnail

LM Studio

Run any Hugging Face-compatible model with a simple, powerful interface, leveraging your GPU for better performance, and discover new models offline.

Langtail screenshot thumbnail

Langtail

Streamline AI app development with a suite of tools for debugging, testing, and deploying LLM prompts, ensuring faster iteration and more predictable outcomes.

Lamini screenshot thumbnail

Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

HoneyHive screenshot thumbnail

HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

Prem screenshot thumbnail

Prem

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.

BenchLLM screenshot thumbnail

BenchLLM

Test and evaluate LLM-powered apps with flexible evaluation methods, automated testing, and insightful reports, ensuring seamless integration and performance monitoring.

Deepchecks screenshot thumbnail

Deepchecks

Automates LLM app evaluation, identifying issues like hallucinations and bias, and provides in-depth monitoring and debugging to ensure high-quality applications.

GradientJ screenshot thumbnail

GradientJ

Automates complex back office tasks, such as medical billing and data onboarding, by training computers to process and integrate unstructured data from various sources.

Klu screenshot thumbnail

Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

Parea screenshot thumbnail

Parea

Confidently deploy large language model applications to production with experiment tracking, observability, and human annotation tools.

Unify screenshot thumbnail

Unify

Dynamically route prompts to the best available LLM endpoints, optimizing results, speed, and cost with a single API key and customizable routing.

Freeplay screenshot thumbnail

Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

MonsterGPT screenshot thumbnail

MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

Promptfoo screenshot thumbnail

Promptfoo

Assess large language model output quality with customizable metrics, multiple provider support, and a command-line interface for easy integration and improvement.

LlamaIndex screenshot thumbnail

LlamaIndex

Connects custom data sources to large language models, enabling easy integration into production-ready applications with support for 160+ data sources.

Metatext screenshot thumbnail

Metatext

Build and manage custom NLP models fine-tuned for your specific use case, automating workflows through text classification, tagging, and generation.

AIML API screenshot thumbnail

AIML API

Access over 100 AI models through a single API, with serverless inference, flat pricing, and fast response times, to accelerate machine learning project development.

Meta Llama screenshot thumbnail

Meta Llama

Accessible and responsible AI development with open-source language models for various tasks, including programming, translation, and dialogue generation.