Learn how Grafana and Infinite differ in their key features, development activity, technology stack and community adoption, so you can decide which of these data visualization tools is best for you.
Last 30 days
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Repository age
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Self-hosted
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Last 30 days
Last commit
Repository age
License
Self-hosted
Repository

Grafana appears to have several advantages over Infinite, particularly in popularity, activity and maturity. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Grafana significantly outpaces Infinite in community adoption with 76,363 stars compared to 15 stars on GitHub. This 5090.9x difference suggests Grafana has a much larger and more active community. In terms of developer contributions, Grafana has 14,619 forks, indicating strong developer engagement.
Grafana shows more recent development activity with its last commit 9 hours ago, while Infinite was last updated 2 months ago. This suggests Grafana is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript, JSX. However, they differ in their additional technology choices: Grafana uses CSS, Python, Golang, Ruby while Infinite leverages Next.js.
Grafana has been in development longer, starting 13 years ago, compared to Infinite which began 2 months ago. This 12.7-year head start suggests Grafana may have more mature features and established processes.
Infinite uses the MIT license, which is more permissive than Grafana's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Data Visualization. However, they also have distinct specializations: Grafana also focuses on Infrastructure Monitoring, Performance Monitoring (APM) while Infinite extends into BI Platforms.
Both Grafana and Infinite offer self-hosting capabilities, giving you full control over your data and infrastructure.