Langfuse Alternatives

Debug, analyze, and experiment with large language models through tracing, prompt management, evaluation, analytics, and a playground for testing and optimization.
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Humanloop

If you're looking for a replacement for Langfuse, Humanloop is a good option. It's a collaborative environment for building and optimizing LLM applications, with a prompt management system with version control, an evaluation and monitoring tool, and model fine-tuning tools. Humanloop integrates with major LLM providers and offers Python and TypeScript SDKs for integration. It also offers a free tier for prototyping and an enterprise tier for more advanced use cases.

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Langtail

Another contender is Langtail. Langtail is a suite of tools for debugging, testing and deploying LLM prompts. It includes features like prompt fine-tuning, testing, deploying prompts as API endpoints and monitoring production performance. Langtail also offers a no-code playground for writing and running prompts, adjustable parameters and logging. The service is available in three pricing tiers, including a free tier for small businesses and solopreneurs.

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Vellum

If you're looking for a more powerful service with serious security controls, Vellum is worth a look. Vellum offers tools for prompt engineering, semantic search, prompt chaining, evaluation and monitoring. It's geared for enterprise-scale operations and offers SOC 2 Type II and HIPAA compliance. Vellum is designed to be used for a variety of use cases, including document analysis, chatbots and workflow automation.

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LastMile AI

Last is LastMile AI, a full-stack developer platform designed to help you productionize generative AI applications. It offers features like Auto-Eval for prompt optimization, an RAG Debugger to improve performance and a notebook-like environment for prototyping. LastMile AI supports multiple AI models and has a range of integration options, making it a good choice for those who want to deploy production-grade generative AI applications.

More Alternatives to Langfuse

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Parea

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

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Openlayer

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

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Freeplay

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

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HoneyHive

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

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Deepchecks

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

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Klu

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

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Flowise

Orchestrate LLM flows and AI agents through a graphical interface, linking to 100+ integrations, and build self-driving agents for rapid iteration and deployment.

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Keywords AI

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

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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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Promptfoo

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

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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LangChain

Create and deploy context-aware, reasoning applications using company data and APIs, with tools for building, monitoring, and deploying LLM-based applications.

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Predibase

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

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Lamini

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

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Prompt Studio

Collaborative workspace for prompt engineering, combining AI behaviors, customizable templates, and testing to streamline LLM-based feature development.

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Superpipe

Build, test, and deploy Large Language Model pipelines on your own infrastructure, optimizing results with multistep pipelines, dataset management, and experimentation tracking.

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PROMPTMETHEUS

Craft, test, and deploy one-shot prompts across 80+ Large Language Models from multiple providers, streamlining AI workflows and automating tasks.

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LlamaIndex

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

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LM Studio

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

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BenchLLM

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