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Open-source LLM Observability for Developers

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Which is more popular?
Based on our record, Helicone AI should be more popular than Parseable. 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 | parseable.com |
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What each product offers, as listed by its team.


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Share your experience with using Helicone AI and Parseable. 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 / 4 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 / 6 months ago
We migrated to Parseable, self-hosted on Kubernetes with Minio for S3-compatible storage, all running on bare-metal. The product still feels early, but the team is responsive and ships fixes fast when something breaks. Big shoutout to... - Source: dev.to / 9 months ago
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The coolest cloud based error management system for .NET web applications. Based on the de-facto standard error component ELMAH, logging errors from your webserver have never been this easy. Full-text search, notifications, API and much more.
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