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Open-source product analytics — funnels, replays, flags
Reviewed by the RadarTrek editorial team · Last verified June 2026
Overall score
84/100
Verdict
Good
Pricing
Free
Performance radar — PostHog
Score breakdown
Ease of Use
Dashboard clarity, setup time, learning curve
Source: radartrek
Privacy
GDPR compliance, cookieless tracking, data residency
Source: radartrek
Product Analytics
Funnels, cohorts, session replays, events
Source: radartrek
Price/Value
Free tier, pricing per event or pageview
Source: radartrek
Integrations
Google Ads, Search Console, CRM, warehouse
Source: radartrek
Data Accuracy
Sampling, ad-blocker resistance, real-time reporting
Source: radartrek
Self-Hostable
Option to run on your own infrastructure
Source: radartrek
All-in-one product analytics platform: events, funnels, cohorts, session replays, feature flags, and A/B testing. Open source. Self-hostable. Generous free tier.
In our independent evaluation across 7 scored dimensions, PostHog earns an overall score of 84/100 — a strong result in the analytics category. The platform is available including a permanently free tier, accessible to teams at any budget level. The score of 84 places it in the good tier of our analytics rankings, where we assess tools on criteria that matter to builders: ease of use, privacy, product analytics, and more.
PostHog scores highest on Product Analytics (95/100) and Self-Hostable (95/100), placing it among the stronger performers in those areas within the analytics category. The dimensions with the most room for improvement are Ease of Use (72/100) and Privacy (78/100) — teams who weight these criteria most heavily should compare PostHog carefully against alternatives before committing. The free entry point makes it easy to validate PostHog before committing to a paid plan — a practical advantage when evaluating a new tool category. Our recommendation: PostHog is worth a serious evaluation for teams that prioritise product analytics — use the radar chart and dimension breakdown on this page to see at a glance whether its profile matches your priorities.
Pros
Cons
PostHog is the right choice for teams that prioritise product analytics above everything else — the dimension where PostHog scores highest. Skip it if ease of use is a hard requirement for you, since PostHog scores only 72/100 there — in that case, the analytics category page ranks every alternative by that specific dimension so you can find a closer fit. For most other use cases, the 84/100 overall score reflects a tool that holds up well in day-to-day use.
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Yes — PostHog is free to use with no trial period or credit card required. It offers a permanently free tier, though paid plans with higher limits or additional features are typically available. Check the official pricing page for current plan details.
PostHog scores highest on Product Analytics in our independent assessment — 95/100, placing it among the stronger performers in this dimension within the analytics category. Funnels, cohorts, session replays, events. Teams who count product analytics as a primary criterion should put PostHog high on their evaluation list.
The lowest-scoring dimension for PostHog in our testing is Ease of Use (72/100). This does not make it the wrong choice — if ease of use is not a priority for your use case, the gap is irrelevant. But teams who weight ease of use most heavily should compare PostHog carefully against alternatives before committing, using the radar chart on this page to see the full profile at a glance.
PostHog earns an overall RadarTrek score of 84/100 — a strong result in the analytics category. Scores above 75 indicate a tool that performs well across most dimensions without a critical weakness. At 84/100, PostHog is a reliable choice for most teams evaluating this space. Scores are reviewed when significant updates are released, so the number reflects the current version of the product.
The best alternative to PostHog depends on which dimension matters most to you. Use the "Compare with" links in the sidebar to see a head-to-head radar chart against any specific competitor in the analytics category. The main analytics category page ranks all tools by overall score and lets you filter by dimension to find alternatives that lead on your priority criterion.
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