Average Ratings 1 Rating

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data

Description

Scorable is an innovative platform utilizing AI for evaluation and monitoring, specifically crafted to assist developers in assessing, regulating, and enhancing the performance of applications developed with large language models. The platform empowers teams to construct personalized automated evaluators, often termed AI "judges," which evaluate the responses of AI systems to users and determine if the outputs align with established quality metrics such as accuracy, relevance, helpfulness, tone, and adherence to policies. Developers can articulate their measurement objectives in straightforward language, and Scorable then creates a customized evaluation framework that tests AI outputs against specific contextual criteria, moving beyond standard benchmarks. These evaluators can be seamlessly integrated into the application's code, enabling continuous oversight of AI systems, including chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents, even while they are functioning in live production settings. This capability ensures that developers maintain high standards for AI performance over time and can swiftly adapt to evolving requirements.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Yes 
Dograh Yes 
Flowise Yes 
Hugging Face Yes 
Lamatic.ai Yes 
LangChain Yes 
LiteLLM Yes 
LlamaIndex Yes 
Mirascope Yes 
Model Context Protocol (MCP) No 
Netguru Omega Yes 
Okta No 
OpenAI Yes 
Overmind Yes 
Python No 
Slack No 
TierZero Yes 
TypeScript No 
Voker Yes 
Workers by Delos Yes 

Integrations

Claude No 
Dograh No 
Flowise No 
Hugging Face No 
Lamatic.ai No 
LangChain No 
LiteLLM No 
LlamaIndex No 
Mirascope No 
Model Context Protocol (MCP) Yes 
Netguru Omega No 
Okta Yes 
OpenAI No 
Overmind No 
Python Yes 
Slack Yes 
TierZero No 
TypeScript Yes 
Voker No 
Workers by Delos No 

Pricing Details

$29/month
Generous free tier and Pro Plans starting at USD 29/month.
Langfuse is open source so you will always be able to host the software yourself at no cost.
Free Trial Yes 
Free Version Yes 

Pricing Details

$19 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Langfuse

Founded

2023

Country

Germany

Website

langfuse.com

Vendor Details

Company Name

Scorable

Country

Finland

Website

scorable.ai/

Alternatives

Alternatives