Learn how Fathom Lite and Litlyx 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
8 months agoRepository age
10 yearsVersion
v1.3.1License
MITRepository
usefathom/fathom
Last 30 days
Last commit
11 months agoRepository age
2 yearsVersion
v0.0.19License
Apache-2.0Self-hosted
YesRepository
litlyx/litlyx
Fathom Lite appears to have several advantages over Litlyx, particularly in popularity, activity, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Fathom Lite significantly outpaces Litlyx in community adoption with 8,034 stars compared to 1,748 stars on GitHub. This 4.6x difference suggests Fathom Lite has a much larger and more active community. In terms of developer contributions, Fathom Lite has 388 forks, indicating moderate developer engagement.
Fathom Lite and Litlyx are moving at much the same rate, adding 14 stars and adding 6 stars respectively over the last 30 days (+0.2% vs +0.3%). Neither is pulling away from the other on momentum alone.
Fathom Lite shows more recent development activity with its last commit 8 months ago, while Litlyx was last updated 11 months ago. This suggests Fathom Lite is being more actively maintained.
Fathom Lite has been in development longer, starting 10 years ago, compared to Litlyx which began 2 years ago. This 7.6-year head start suggests Fathom Lite may have more mature features and established processes.
Fathom Lite uses the MIT license, which is more permissive than Litlyx's Apache-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Litlyx extends into Product Analytics.
Litlyx provides self-hosting options for complete data control and customization, while Fathom Lite may be primarily cloud-based or require different deployment approaches.
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs