
Helicone AI
Langfuse
LangSmith
Portkey
liteLLM
OpenRouter
Eden AI
LangChain
DevDocs
Zeal
Dash for macOS
Devhints
DASH
CSS-Tricks
Velocity
CodePen
Helicone AI
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Based on our record, DevDocs seems to be a lot more popular than Helicone AI. While we know about 132 links to DevDocs, we've tracked only 5 mentions of Helicone AI. 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.
Helicone takes the simplest possible approach to LLM monitoring: it's a proxy. Change your OpenAI base URL from api.openai.com to oai.helicone.ai, add your Helicone API key as a header, and every LLM request is logged โ latency, tokens, cost, prompts, and completions. No SDK integration, no code changes beyond a URL swap. - 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
For many teams, especially those starting out or with simpler needs, commercial solutions like Portkey, Helicone, OpenPipe, or LiteLLM Proxy offer off-the-shelf capabilities that cover many common proxy use cases (caching, logging, cost tracking). NeuroLink itself can be seen as an SDK that complements these, allowing you to integrate with them or build similar features on top. - Source: dev.to / 4 months ago
TL;DR: Go with Langfuse if you want open-source and self-hosted. Pick Helicone if you want the fastest setup (2 minutes, no SDK). Stick with LangSmith if your stack already runs on LangChain. And if your org already pays for Datadog, their LLM module slots right in. - Source: dev.to / 5 months ago
Hey HN, we're Justin and Cole, the founders of Helicone (https://helicone.ai) or self-deploy with our new fully open-source helm chart (https://helicone.ai/selfhost). Yet even with detailed traces, probabilistic systems are notoriously hard to debug at scale. So, we released evaluators (either via LLM-as-judge or custom Python evaluators leveraging the CodeSandbox SDK - https://codesandbox.io/docs/sdk/sandboxes).... - Source: Hacker News / over 1 year ago
DevDocs (open source, free) is a local offline documentation viewer. There is a hosted version that can be used offline in a web browser. - Source: dev.to / 2 months ago
This isn't a new idea for developer tools. DevDocs, Zeal, and Dash have offered offline documentation browsing for years. What's new is applying this architecture to AI agents โ giving your coding assistant the same offline, instant, version-accurate access to docs that you'd want for yourself. - Source: dev.to / 5 months ago
DevDocs the minimalist doc reader for when Stack Overflow doesnโt have the answer. - Source: dev.to / about 1 year ago
ID: i26 Tags: Programming, API, Documentation Description: Fast, offline, and free documentation browser for developers. GitHub Link | Website Link. - Source: dev.to / over 1 year ago
Search API documentation effortlessly with DevDocs. - Source: dev.to / over 1 year ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Zeal - A free, open-source offline documentation browser that puts documentation for every major language and framework one instant search away, on Linux and Windows.
LangSmith - Build and deploy LLM applications with confidence
Dash for macOS - Dash is an API Documentation Browser and Code Snippet Manager. Dash searches offline documentation of 200+ APIs and stores snippets of code. You can also generate your own documentation sets.
Portkey - Build production-grade & reliable AI apps with Portkey
Devhints - TL;DR for developer documentation