Learn how Agenta 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.
Last 30 days
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Repository

Agenta appears to have several advantages over OpenLLMetry, particularly in growth, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
OpenLLMetry leads in popularity with 7,392 stars vs 4,519 stars for Agenta. The 64% higher star count indicates stronger community adoption. In terms of developer contributions, OpenLLMetry has 1,060 forks, indicating strong developer engagement.
Agenta is growing faster, adding 189 stars in the last 30 days (+4.4%) against adding 70 stars for OpenLLMetry (+1%). Agenta is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Agenta last updated 8 hours ago and OpenLLMetry 14 days ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Agenta uses JavaScript, CSS, Typescript, JSX, Next.js.
Both projects started around the same time, with Agenta beginning 3 years ago and OpenLLMetry 3 years ago.
Agenta uses the MIT license, which is more permissive than OpenLLMetry's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in LLM Observability & Evaluation.
Agenta provides self-hosting options for complete data control and customization, while OpenLLMetry may be primarily cloud-based or require different deployment approaches.