Litlyx vs Umami
| Tagline | Lightweight all-in-one analytics with a one-line setup and AI assistant | Simple, fast, privacy-focused web analytics in a single lightweight dashboard |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics, Mixpanel | Google Analytics |
| GitHub stars | 1.7k | 39k |
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 3/5 Moderate | 3/5 Moderate |
| Deploy options | Docker Compose Manual | One-Click Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 9 months ago | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
Litlyx
- Early-stage project; feature depth and long-term stability are unproven.
- No session replay or heatmaps; product-analytics depth trails Mixpanel/Amplitude.
- Smaller community and fewer integrations than incumbents.
Umami
- Deliberately minimal: no heatmaps, session replay, or deep product-analytics like funnels/retention found in Mixpanel/Amplitude.
- Event/custom-property analytics are basic compared to dedicated product-analytics tools.
- No built-in alerting or anomaly detection.
Bottom line
Both are a similar lift to self-host; choose Umami for the larger community and ecosystem. Umami has seen more recent development. Open each guide below for deploy steps and the full feature gap.
Umami
Simple, fast, privacy-focused web analytics in a single lightweight dashboard