Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Humanloop
Braintrust.dev
Openlayer
TechStackTrack
Vendr
Zylo
Cledara
StackSwap
Vanta
Stackshare
Spendflo
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.
Vendors, renewals, and costs - before they drift and eat your margins. Connect your tools, get alerted ahead of yearly renewals, and spot what you're overpaying for or no longer using - to maximize output for your team.
When you start selling upmarket, security reviews slow everything down. TechStackTrack solves this automatically: as you add tools to your stack, your subprocessor list and Security Page stay up to date, and are ready to share. Send prospects a branded link instead of a spreadsheet or scattered documents. Proactively answer the compliance questions before they are asked. One platform for the internal work of controlling spend and the external work of building trust. Letโs brag about your tech stack to attract talent, investors, and customers. Embed it to your website as proof you take this seriously. You stop answering the same tech stack or compliance questions over and over. Your champion on the buyer side gets what they need to push the deal through internal review. Deals move faster.
Whether you're a 10-person team getting your first real SaaS stack under control, or a 150-person scaleup closing enterprise contracts with procurement teams, the platform grows with you. Start free (limited offer)
Langfuse TechStackTrackNo TechStackTrack videos yet. You could help us improve this page by suggesting one.
TechStackTrack's answer:
Scaling the team at Lime, I thought I had costs under control - until I didn't. Tracking spend across employees meant endless spreadsheets and receipts, while trying to calculate how costs would scale for our next hires. On top of this we didn't have a proper security documenation which resulted in internal ping pong of sheets, docs, and links. Starting Nom made it worse. Subscriptions, renewals, cash flow forecasting, mapping out subprocessors - it was a constant juggling act. I realized every founder and revenue leader faces this same silent pain. So we built the tool I needed: one place to manage subscriptions, predict costs as you scale, and benchmark alternatives. And keep your subprocessors list up to date and win deals faster with a trusted Security Pages. No spreadsheets. No surprises. Just clarity - internally and externally.
TechStackTrack's answer:
Currently in BETA, TBD
TechStackTrack's answer:
TechStackTrack combines subscription spend management with GDPR compliance tooling and external trust-building in one platform. The unique combination includes:
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TechStackTrack's answer:
European startups and scaleups, specifically targeting: - Founders or builders - Operations or finance teams - Commercial or technical operators that haven't hired internal finance or security yet
TechStackTrack's answer:
Check out the tech stack here for the full breakdown: https://app.techstacktrack.io/brag/techstacktrack
Based on our record, Langfuse seems to be more popular. It has been mentiond 28 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.
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 / about 1 month 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 2 months 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 / 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 / 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 / 3 months ago
Helicone AI - Open-source LLM Observability for Developers
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LangSmith - Build and deploy LLM applications with confidence
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LangChain - Framework for building applications with LLMs through composability
Cledara - We help companies bring visibility and control to their ever-growing #SaaS stack.
