
Langfuse
Helicone AI
LangSmith
LangChain
Braintrust.dev
Openlayer
Portkey
LastMile AI
Cycode
Snyk
Aikido Security
Xygeni.io
Checkmarx
Plexicus
Arnica.io
SonarQube
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.
Cycode provides visibility, security, and integrity across the SDLC using a number of complementary solutions. Addressing software supply chain attacks using multiple tools and techniques from a single platform, Cycode is able to offer better results and lower AppSec tooling costs than could be achieved with individual tools.
Langfuse
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Based on our record, Langfuse seems to be a lot more popular than Cycode. While we know about 28 links to Langfuse, we've tracked only 1 mention of Cycode. 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 / 26 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 / 2 months ago
With all the recent cybersecurity attacks that were impacting the software supply chain, my company finally decided that we should start looking into some of these tools that protect software supply chains. I'm completely new to this space. Our friend Google suggested Cycode, Legit, and Apiiro as the hot new things, but I was not able to find any information from hands-on users that would help me to compare them... Source: over 4 years ago
Helicone AI - Open-source LLM Observability for Developers
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
LangSmith - Build and deploy LLM applications with confidence
Aikido Security - Secure your code, cloud, and runtime in one central system. Find and fix vulnerabilities fast and automatically.
LangChain - Framework for building applications with LLMs through composability
Xygeni.io - Secure your Software Development and Delivery