
Helicone AI
LangSmith
LangChain
PromptLayer
Portkey
Braintrust.dev
Openlayer
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

Keygen
The simplest way to license your app.

Which is more popular?
Based on our record, Langfuse should be more popular than Keylight.dev. It has been mentioned 33 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | langfuse.com | keylight.dev |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States | Startup from Belgium · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


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....
Keylight sits between your payment provider and your app. Licenses, activations, customers, and usage all live here. Switch providers, or run several, without shipping a new build.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Langfuse yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Langfuse in two minutes
No Keylight.dev videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Langfuse and Keylight.dev.
Keylight.dev's answer:
Keylight keeps app licensing separate from payments. You can use Stripe, Paddle, Lemon Squeezy, Polar, Gumroad, or your own checkout without tying your app to one provider.
It handles license keys, device activations, trials, free tiers, offline access, grace periods, and signed license state through one SDK.
Keylight.dev's answer:
My goal is to make all apps work with Keylight. So all of your licenses, from any types of apps, is going through Keylight for analytics, customer portal, support, ...
Most licensing tools are bundled into a payment provider. Keylight is built as an independent licensing layer.
That means you can change payment providers, sell through multiple platforms, or change your pricing model without rebuilding licensing inside your app.
It also gives developers a ready-made SDK and dashboard instead of requiring them to build and maintain their own licensing backend.
Keylight.dev's answer:
Keylight is primarily built for independent developers and software companies selling apps directly to customers.
Its main audience includes:
macOS and iOS developers Web app and SaaS developers Developers selling outside app stores Teams migrating from a payment provider’s built-in licensing Developers who need trials, device limits, offline access, and license analytics
Keylight.dev's answer:
Keylight started because I kept rebuilding the same licensing systems for different apps: license keys, trials, activations, offline access, device changes, and all the edge cases that come with them.
I also did not want licensing to be controlled by whichever payment provider an app happened to use.
So I built Keylight as a standalone layer between the app and the payment provider. Payment platforms send events to Keylight, and the app receives one consistent license state through the SDK.
Keylight.dev's answer:
That's confidential.
Keylight.dev's answer:
Swift and Swift Package Manager for the Apple SDK Rust SDK / JS SDK / C# SDK / C++ SDK TypeScript React Next.js Stripe Connect and payment-provider webhooks Cryptographic signatures for secure, offline-capable licenses REST APIs for application and provider integrations
Share your experience with using Langfuse and Keylight.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Ten free AI prompt tools in 2026 across four categories: prompt generators (SurePrompts, Anthropic Console, OpenAI Playground), libraries (AIPRM, PromptHero, FlowGPT, Awesome ChatGPT Prompts), open-source workflow...
Recommendations tracked on public social media and blogs since March 2021.


We have researched and experimented with several AI evaluation platforms, including Arize Phoenix, Microsoft Foundry, and Langfuse. After evaluating them against our requirements and roadmap, we shortlisted Microsoft Foundry and Langfuse... - Source: dev.to / about 17 hours ago
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 / 22 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 / 26 days ago
You don't want to hand-roll Ed25519 and lease parsing. Most licensing SDKs hide this behind a couple of calls. With Keylight, for example, the offline path collapses to: activate once, then a local checkOnLaunch() that verifies the lease... - Source: dev.to / 3 months ago
Full disclosure: I now build Keylight, so weigh this accordingly — I'm telling you the seam it's designed for, not that it wins every row. - Source: dev.to / 3 months ago
Full docs and the free tier are at keylight.dev. If you're on Tauri or Electron instead of native Swift, the same SDK pattern exists in JS/Rust. - Source: dev.to / 3 months ago
When comparing Langfuse and Keylight.dev, you can also consider the following products.

Open-source LLM Observability for Developers
Compare Helicone AI to Langfuse or Keylight.dev:

A dead-simple software licensing API built for developers
Compare Keygen to Langfuse or Keylight.dev:

Build and deploy LLM applications with confidence
Compare LangSmith to Langfuse or Keylight.dev:

Framework for building applications with LLMs through composability
Compare LangChain to Langfuse or Keylight.dev:
The first platform built for prompt engineers
Compare PromptLayer to Langfuse or Keylight.dev:

Build production-grade & reliable AI apps with Portkey
Compare Portkey to Langfuse or Keylight.dev: