For Product Analytics tools in May 2026, the main problem is separating tools that sound similar but differ in overall quality, shipping pace, and project health. This section uses the supplied ToolVitals dataset only, so the comparison stays grounded in the ranked data.
The ranking puts ToolVitals score first, then uses GitHub stars as a secondary popularity signal when scores are tied. That keeps the list centered on measured quality while still acknowledging broader adoption.
Rankings
| Rank | Tool | Health | Shipping | GitHub Stars | Score | Status |
|---|---|---|---|---|---|---|
| 1 | Nao | 98 | 100 | 1081 | 99 | 🟢 Excellent |
| 2 | Lightdash | 96 | 100 | 5764 | 98 | 🟢 Excellent |
| 3 | Apache Superset | 98 | 95 | 72672 | 97 | 🟢 Excellent |
| 4 | Cube | 95 | 100 | 19911 | 97 | 🟢 Excellent |
| 5 | Rill | 96 | 98 | 2606 | 97 | 🟢 Excellent |
| 6 | Matomo | 93 | 100 | 21457 | 96 | 🟢 Excellent |
| 7 | PostHog | 96 | 100 | 34252 | 95 | 🟢 Excellent |
| 8 | FinceptTerminal | 95 | 95 | 19216 | 95 | 🟢 Excellent |
| 9 | MindsDB | 93 | 95 | 39094 | 94 | 🟢 Excellent |
| 10 | StarRocks | 93 | 95 | 11635 | 94 | 🟢 Excellent |
| 11 | texera | 92 | 94 | 233 | 93 | 🟢 Excellent |
| 12 | Measure.sh | 87 | 95 | 1231 | 91 | 🟢 Excellent |
| 13 | Countly | 88 | 93 | 5856 | 90 | 🟢 Excellent |
| 14 | Chartbrew | 84 | 88 | 3902 | 86 | 🟢 Excellent |
| 15 | Databuddy | 82 | 82 | 1007 | 82 | 🟢 Excellent |
| 16 | ELMO | 80 | 84 | 100 | 82 | 🟢 Excellent |
| 17 | Swetrix | 80 | 82 | 966 | 81 | 🟢 Excellent |
| 18 | Umami | 84 | 75 | 36442 | 80 | 🟢 Excellent |
| 19 | Pellametric | 73 | 83 | 44 | 78 | 🟢 Good |
| 20 | Rybbit | 81 | 73 | 12037 | 77 | 🟢 Good |
| 21 | OpenReplay | 76 | 73 | 12006 | 75 | 🟢 Good |
| 22 | Solectrus | 72 | 78 | 153 | 75 | 🟢 Good |
| 23 | OpenPanel | 76 | 66 | 5695 | 72 | 🟢 Good |
| 24 | OpenMeter | 72 | 73 | 1943 | 72 | 🟢 Good |
| 25 | DevImpact | 68 | 66 | 13 | 67 | 🟢 Good |
| 26 | excelize | 81 | 43 | 20544 | 64 | 🟢 Good |
| 27 | Pirsch | 76 | 46 | 1019 | 62 | 🟢 Good |
| 28 | Green-AI | 62 | 63 | 8 | 62 | 🟢 Good |
| 29 | Vemetric | 64 | 54 | 348 | 60 | 🟢 Good |
| 30 | Redash | 79 | 35 | 28549 | 59 | 🟡 Fair |
| 31 | MonadPulse | 56 | 58 | 0 | 57 | 🟡 Fair |
| 32 | Snowplow | 71 | 38 | 7011 | 56 | 🟡 Fair |
| 33 | LiteMetrics | 64 | 46 | 3 | 56 | 🟡 Fair |
| 34 | Seentics | 56 | 56 | 3 | 56 | 🟡 Fair |
| 35 | GoatCounter | 69 | 38 | 5669 | 55 | 🟡 Fair |
| 36 | Ackee | 65 | 42 | 4645 | 55 | 🟡 Fair |
| 37 | Evidence | 61 | 43 | 6272 | 53 | 🟡 Fair |
| 38 | GoAccess | 68 | 32 | 20508 | 52 | 🟡 Fair |
| 39 | Cially | 64 | 30 | 215 | 49 | 🟡 Fair |
| 40 | MCPCat | 68 | 23 | 96 | 48 | 🟡 Fair |
| 41 | Graphic Walker | 70 | 14 | 3117 | 45 | 🟡 Fair |
| 42 | DeepAnalyze | 59 | 25 | 4102 | 44 | 🟡 Fair |
| 43 | Artfolio Analytics | 54 | 25 | 2 | 41 | 🟡 Fair |
| 44 | Objectiv | 59 | 17 | 0 | 40 | 🟡 Fair |
| 45 | bklit | 59 | 14 | 249 | 39 | 🔴 Needs Attention |
| 46 | OSS Pulse | 59 | 14 | 5 | 39 | 🔴 Needs Attention |
| 47 | Quary | 59 | 10 | 2369 | 37 | 🔴 Needs Attention |
| 48 | Trench | 51 | 14 | 1631 | 34 | 🔴 Needs Attention |
| 49 | Auto Analyst | 51 | 14 | 689 | 34 | 🔴 Needs Attention |
| 50 | Evntaly | 44 | 11 | 8 | 29 | 🔴 Needs Attention |
Top 3 Highlights
Nao ranks first with a ToolVitals score of 99, backed by a 98 health score and a perfect 100 shipping score. It is an open source analytics agent, and it leads this group on the scoring approach used for May 2026.
Self-serve BI to 10x your data team ⚡️. At 98, Lightdash comes in strong as the runner-up, with 5764 GitHub stars for extra context.
Apache Superset is a Data Visualization and Data Exploration Platform. Rounding out the top three with a score of 97, Apache Superset pairs visible maintenance signals with 72672 GitHub stars.
Want to see the full health, shipping, openness, and evidence details for every tool in Product Analytics? Browse all Product Analytics Tools →