Choosing product analytics tools is mostly about finding something the team will actually use: clear data access, solid shipping momentum, and enough trust to keep around. This April 2026 ToolVitals snapshot covers ranked Product Analytics tools using the data provided here.
The ranking is ordered by ToolVitals score first, with GitHub stars used as a secondary popularity signal when scores are tied. That means the list favors overall platform strength before raw repo size.
Rankings
| Rank | Tool | Health | Shipping | GitHub Stars | Score | Status |
|---|---|---|---|---|---|---|
| 1 | Lightdash | 97 | 100 | 5739 | 98 | 🟢 Excellent |
| 2 | Rill | 97 | 100 | 2596 | 98 | 🟢 Excellent |
| 3 | Nao | 97 | 100 | 1058 | 98 | 🟢 Excellent |
| 4 | Matomo | 95 | 100 | 21453 | 97 | 🟢 Excellent |
| 5 | Cube | 94 | 100 | 19866 | 97 | 🟢 Excellent |
| 6 | PostHog | 95 | 100 | 33440 | 96 | 🟢 Excellent |
| 7 | Measure.sh | 92 | 100 | 1226 | 96 | 🟢 Excellent |
| 8 | FinceptTerminal | 97 | 88 | 15976 | 93 | 🟢 Excellent |
| 9 | Chartbrew | 95 | 88 | 3877 | 92 | 🟢 Excellent |
| 10 | MindsDB | 92 | 88 | 39052 | 90 | 🟢 Excellent |
| 11 | StarRocks | 92 | 88 | 11618 | 90 | 🟢 Excellent |
| 12 | Countly | 89 | 88 | 5853 | 89 | 🟢 Excellent |
| 13 | Apache Superset | 94 | 72 | 72582 | 84 | 🟢 Excellent |
| 14 | Swetrix | 89 | 78 | 960 | 84 | 🟢 Excellent |
| 15 | Pirsch | 80 | 72 | 1018 | 76 | 🟢 Good |
| 16 | OpenReplay | 85 | 62 | 11982 | 75 | 🟢 Good |
| 17 | Evidence | 66 | 81 | 6225 | 73 | 🟢 Good |
| 18 | Graphic Walker | 82 | 62 | 3114 | 73 | 🟢 Good |
| 19 | Cially | 80 | 62 | 215 | 72 | 🟢 Good |
| 20 | Umami | 84 | 56 | 36324 | 71 | 🟢 Good |
| 21 | Solectrus | 79 | 62 | 152 | 71 | 🟢 Good |
| 22 | Rybbit | 78 | 56 | 12024 | 68 | 🟢 Good |
| 23 | Ackee | 70 | 56 | 4645 | 64 | 🟢 Good |
| 24 | Redash | 76 | 47 | 28540 | 63 | 🟢 Good |
| 25 | excelize | 78 | 38 | 20516 | 60 | 🟢 Good |
| 26 | OpenMeter | 70 | 38 | 1933 | 56 | 🟡 Fair |
| 27 | OpenPanel | 79 | 0 | 5677 | 43 | 🟡 Fair |
| 28 | GoAccess | 76 | 0 | 20455 | 42 | 🟡 Fair |
| 29 | GoatCounter | 73 | 0 | 5659 | 40 | 🟡 Fair |
| 30 | Quary | 60 | 9 | 2369 | 37 | 🔴 Needs Attention |
| 31 | DeepAnalyze | 65 | 0 | 4071 | 36 | 🔴 Needs Attention |
| 32 | Snowplow | 61 | 0 | 7011 | 34 | 🔴 Needs Attention |
| 33 | Aptabase | 58 | 0 | 1684 | 32 | 🔴 Needs Attention |
| 34 | Trench | 58 | 0 | 1623 | 32 | 🔴 Needs Attention |
| 35 | Litlyx | 51 | 0 | 1704 | 28 | 🔴 Needs Attention |
| 36 | RAWGraphs | 42 | 0 | 8957 | 23 | 🔴 Needs Attention |
| 37 | Briefer | 36 | 0 | 4301 | 20 | 🔴 Needs Attention |
| 38 | llm.report | 32 | 0 | 1017 | 18 | 🔴 Needs Attention |
| 39 | Swishjam | 33 | 0 | 175 | 18 | 🔴 Needs Attention |
Top 3 Highlights
Lightdash ranks first with a ToolVitals score of 98, a health score of 97, and a shipping score of 100. It also leads this set on GitHub stars among the top three at 5,739, which supports its position as the strongest overall entry in this April 2026 ranking.
The fastest business intelligence tool for humans and agents. At 98, Rill comes in strong as the runner-up, with 2596 GitHub stars for extra context.
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone. Rounding out the top three with a score of 98, Nao pairs visible maintenance signals with 1058 GitHub stars.
Want to see the full health, shipping, openness, and evidence details for every tool in Product Analytics? Browse all Product Analytics Tools →