
YNAB
Mint
HomeBank
GnuCash
Money Manager Ex
Quicken
Monarch
Rocket Money
Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
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.
YNAB
LangfuseBased on our record, Langfuse seems to be a lot more popular than YNAB. While we know about 28 links to Langfuse, we've tracked only 1 mention of YNAB. 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.
Clickable link: https://ynab.com I'm a huge fan of You Need A Budget, it was instrumental in giving me control over my finances. It feels like a superpower to see all my money in one place and not care which bank account the dollars actually reside. Also makes it easier to take advantage of various offers (Credit card or things like HYSA) since I know all the records will live in YNAB and I have full control... - Source: Hacker News / 8 months ago
You'll be going into a tight budget time, so get a really good system in place. If you don't have that you love already, I recommend YNAB (youneedabudget.com). It's envelope based and is really good for planning ahead for irregular expenses and for "rolling with the punches" if something comes up. It works differently than traditional monthly budget, so take time to use all the resources to learn the system. ... Source: about 3 years ago
I also said in a comment below, I use YNAB to track my financial life. This strategy only works if you have enough confidence in your finances to know that if I gave you a card with 100k credit limit, you would never spend more on it than what you have in your bank and has been budgeted for. If not, I cannot overstate how important it is to get your budget in order beforehand. Thereโs zero money saved if you pay... Source: about 3 years ago
If you arenโt already giving every dollar you make a job, earning more money will only get you so far. Check out YNAB, read all the free content about learning to plan and budget. Source: about 3 years ago
Track it by hand or in software. I started out with just a spreadsheet, but since then moved my whole budget to YNAB (youneedabudget.com), where you track all your individual savings goals as well as how your money will be used to cover regular (and irregular) expenses. Now the whole plan is in one place, and covers everything from how much is set aside for gardening supplies for this summer to the big... Source: over 3 years ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / 17 days ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / about 1 month ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / about 2 months ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / about 2 months ago
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline โ the metadata.userId pattern is the universal part. - Source: dev.to / about 2 months ago
Mint - Free personal finance software to assist you to manage your money, financial planning, and budget planning tools. Achieve your financial goals with Mint.
Helicone AI - Open-source LLM Observability for Developers
HomeBank - Free, easy, personal accounting, for everyone
LangSmith - Build and deploy LLM applications with confidence
GnuCash - A personal and small-business financial-accounting software, licensed under GNU/GPL and available for Linux, Windows, Mac OS X, BSD, and Solaris.
LangChain - Framework for building applications with LLMs through composability