
Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
Cleo.
Quicken
Money Manager Ex
Buxfer
MoneyTrackin
AceMoney
KMyMoney
MoneyWiz
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 seems to be a lot more popular than Cleo.. While we know about 32 links to Langfuse, we've tracked only 2 mentions of Cleo.. 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 / 2 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 / 5 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 / 10 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 / 23 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
AI money coach Cleo talks with you in natural language about your finances and tracks your spending. The app highlights bad habits and helps you meet financial goals. With the app managing money, budgeting becomes less stressful. - Source: dev.to / 4 months ago
Https://web.meetcleo.com/ is a good example of Gen Z style for a bank, but it's clear that their target is 18-25s vs. People wearing suits. Source: about 4 years ago
Helicone AI - Open-source LLM Observability for Developers
Quicken - Stay in control of your monthly cash flows, budgets, and expenditures. Quicken provides a navigable interface where you can organize your debit, credit, and savings, and build good habits accordingly.
LangSmith - Build and deploy LLM applications with confidence
Money Manager Ex - Money Manager Ex is a free, open-source, cross-platform, easy-to-use personal finance software.
LangChain - Framework for building applications with LLMs through composability
Buxfer - Online tools for personal finance, budgeting, and bill reminders. Split bills and IOUs with friends and roommates.