
Langfuse
LangSmith
Portkey
liteLLM
Eden AI
OpenRouter
LangChain
Open-source LLM Observability for Developers

Glitch
codepad
Nova Code Editor
Design Sprint Kits
Adalo
Glitch for Platforms
Netlify
Discover pre-built APIs, compose your own and build apps

Which is more popular?
Based on our record, Helicone AI seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | helicone.ai | stdlib.com |
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What each product offers, as listed by its team.


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Standard Library Functions – Header Files (stdio.h, stdlib.h, conio.h, ctype.h, math.h, string.h)
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Share your experience with using Helicone AI and StdLib. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


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 — latency, tokens,... - Source: dev.to / 4 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 / 5 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... - Source: dev.to / 7 months ago
Tracking StdLib since Mar 2021.
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