Learn how Prisme Analytics and Tianji differ in their key features, development activity, technology stack and community adoption, so you can decide which of these web analytics is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

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

Both Prisme Analytics and Tianji have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Tianji significantly outpaces Prisme Analytics in community adoption with 3,097 stars compared to 131 stars on GitHub. This 23.6x difference suggests Tianji has a much larger and more active community. In terms of developer contributions, Tianji has 194 forks, indicating moderate developer engagement.
Prisme Analytics is growing faster, adding 4 stars in the last 30 days (+3.1%) against adding 18 stars for Tianji (+0.6%). Prisme Analytics is the smaller project of the two, so it is closing the gap rather than extending a lead.
Tianji shows more recent development activity with its last commit 2 days ago, while Prisme Analytics was last updated 7 months ago. This suggests Tianji is being more actively maintained.
Both projects started around the same time, with Prisme Analytics beginning 3 years ago and Tianji 3 years ago.
The projects use different licenses: Prisme Analytics is licensed under AGPL-3.0 while Tianji uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Tianji extends into Uptime Monitoring, Status Pages.
Both Prisme Analytics and Tianji offer self-hosting capabilities, giving you full control over your data and infrastructure.
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