Learn how OpenLLMetry and SigNoz differ in their key features, development activity, technology stack and community adoption, so you can decide which of these tools is best for you.
Last 30 days
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Repository age
Version
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Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

SigNoz appears to have several advantages over OpenLLMetry, particularly in popularity, maturity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
SigNoz significantly outpaces OpenLLMetry in community adoption with 31,934 stars compared to 7,400 stars on GitHub. This 4.3x difference suggests SigNoz has a much larger and more active community. In terms of developer contributions, SigNoz has 2,444 forks, indicating strong developer engagement.
OpenLLMetry and SigNoz are moving at much the same rate, adding 70 stars and adding 260 stars respectively over the last 30 days (+1% vs +0.8%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with OpenLLMetry last updated 16 days ago and SigNoz 10 hours ago.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: SigNoz leverages JavaScript, Typescript, JSX, SCSS, Golang.
SigNoz has been in development longer, starting 6 years ago, compared to OpenLLMetry which began 3 years ago. This 2.7-year head start suggests SigNoz may have more mature features and established processes.
SigNoz uses the MIT license, which is more permissive than OpenLLMetry's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
OpenLLMetry also focuses on LLM Observability & Evaluation while SigNoz extends into Infrastructure Monitoring, Performance Monitoring (APM), Log Management.
SigNoz provides self-hosting options for complete data control and customization, while OpenLLMetry may be primarily cloud-based or require different deployment approaches.