Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
DASH
Bitcoin
Monero
Litecoin
Ethereum
Dogecoin
zsh
Cardano
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
LangfuseBased on our record, Langfuse should be more popular than DASH. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Langfuse is the other serious option in this category if you also want observability, evals and traces bundled with prompt management. Different scope, more setup, worth comparing honestly. - Source: dev.to / 6 days ago
Langfuse with Microsoft.Extensions.AI has an appealing story: update prompts without redeploying. A prompt fetches its config blob—model, tokens, temperature—which the code passes straight to the LLM. - Source: dev.to / 9 days ago
Langfuse is not a replacement for OpenTelemetry; it is a specialization layer built on top of it. Langfuse was engineered specifically for the unique telemetry needs of LLM applications. It acts as the semantic layer that OTel lacks. - Source: dev.to / 14 days ago
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 27 days ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse — step by step. - Source: dev.to / 2 months ago
Only problem I have with this promotion of Dash is that the 'Dash is Digital Cash' got snowed under with all the references to dash.org and there is also a very very short time to understand why Dash is Digital Cash. Source: over 3 years ago
All these reasons led me to develop this open source project. I chose Dash because honestly I was blown away after trying it. - Source: dev.to / about 4 years ago
1 : Misleading title (there is no actual security breach at dash.org). Source: over 4 years ago
Please see my post history here on reddit and on the dash.org forum. Much has already been written on the subject. Source: over 4 years ago
During Ryan's tenure at Dash, he has managed to rid the official website https://dash.org/ of any mention of the word privacy or PrivateSend, our brand. Not content with that, he took it a step further and single handedly made the decision to de-brand PrivateSend from the wallets, the codebase and the Dash documentation. This was a decision not consulted with the network, merely relayed to 'us' as important and... Source: over 4 years ago
Helicone AI - Open-source LLM Observability for Developers
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
LangSmith - Build and deploy LLM applications with confidence
Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
LangChain - Framework for building applications with LLMs through composability
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.