Langfuse
Helicone AI
LangSmith
LangChain
Openlayer
Braintrust.dev
Portkey
LastMile AI
GitHub Enterprise
GitLab
GitHub
BitBucket
GitBucket
Gitea
Gerrit Code Review
SourceHut
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.
Langfuse GitHub EnterpriseBased on our record, Langfuse should be more popular than GitHub Enterprise. 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 / 12 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 1 month 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 1 month 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
Here's the problem we were solving: we run GitHub Enterprise behind a VPN. Modern AI code review tools like Cursor, Github Copilot, and CodeRabbit expect cloud-hosted repos. We couldn't pipe proprietary code into them. But we still wanted AI code review on every PR. - Source: dev.to / 7 months ago
Internal is a special visibility level used by GitHub Enterprise, allowing anyone inside your organization to see the repository, but nobody in the outside world. We generally suggest this as the default level for company projects that donโt have siloed sensitive information (such as customer-specific data or logic that only a specific group should know about). - Source: dev.to / almost 2 years ago
If the company you work for has subscribed to Github, you probably benefit from a more substantial offer with additional features (GitHub Team or GitHub Enterprise). - Source: dev.to / about 2 years ago
Some orgs run GitHub Enterprise on-prem. Set up properly, it's not publicly accessible at all. Source: over 3 years ago
I do. My company has an enterprise license and it basically just acts as a private corner of normal public-facing github. Basically like a private repo but instead of being scoped to a single repo it's a full multi-organization scope. All new report default to private, but can be flipped to public if we want to open-source some internal project. Source: over 3 years ago
Helicone AI - Open-source LLM Observability for Developers
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
LangSmith - Build and deploy LLM applications with confidence
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
LangChain - Framework for building applications with LLMs through composability
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
