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Helicone vs OpenLLMetry

Learn how Helicone and OpenLLMetry differ in their key features, development activity, technology stack and community adoption, so you can decide which of these llm observability & evaluation is best for you.

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Favicon of Helicone

Helicone

AI
Open-source platform for logging, monitoring, and debugging LLM applications. Route, debug, and analyze AI apps with comprehensive observability tools.
6,084stars+113(+1.9%)

Last 30 days

Screenshot of Helicone
Favicon of OpenLLMetry

OpenLLMetry

AI
Open-source observability platform for LLMs using OpenTelemetry. Monitor performance, track costs, and debug AI applications with just 2 lines of code.
7,385stars+73(+1%)

Last 30 days

Screenshot of OpenLLMetry

Detailed Comparison

Both Helicone and OpenLLMetry have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Helicone having 6,084 stars and OpenLLMetry having 7,385 stars on GitHub. In terms of developer contributions, OpenLLMetry has 1,055 forks, indicating strong developer engagement.

Helicone wins
Growth Momentum

Helicone is growing faster, adding 113 stars in the last 30 days (+1.9%) against adding 73 stars for OpenLLMetry (+1%). Helicone is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with Helicone last updated 3 days ago and OpenLLMetry 10 days ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Helicone uses JavaScript, CSS, Typescript, JSX, Next.js.

Comparable
Project Maturity

Both projects started around the same time, with Helicone beginning 4 years ago and OpenLLMetry 3 years ago.

Comparable
Licensing

Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in LLM Observability & Evaluation.

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