Best open-source product analytics for self-hosting
4 models · updated 2026-08-10
The verdict
PostHog leads — 3 of 4 models rank PostHog the top pick.
Not unanimous: ChatGPT picks OpenPanel.
As of 2026-08-10, ChatGPT, Claude, Gemini and Grok collectively rank PostHog #1 for open-source product analytics for self-hosting on ModelsAgree by aggregate score. The models' case: The clear category leader for self-hosted product analytics — a genuinely integrated suite (funnels, retention, cohorts, paths, feature flags, experiments, session. The models' main caveat: PostHog itself now steers users to Cloud and only supports the Docker self-host for small volumes (roughly <100k events/month). The strongest alternative is Countly — The most turnkey self-hosted product analytics after PostHog, with a mature Community Edition, strong mobile/SDK instrumentation, crash reporting. Not unanimous: ChatGPT picks OpenPanel. Source: https://modelsagree.com/best/best-open-source-product-analytics-for-self-hosting (modelsagree.com, CC BY 4.0).
Combined ranking
- 1GPT #2Claude #1Gemini #1Grok #1
The clear category leader for self-hosted product analytics — a genuinely integrated suite (funnels, retention, cohorts, paths, feature flags, experiments, session replay, and a SQL layer over ClickHouse) that matches Amplitude/Mixpanel feature-for-feature while remaining MIT/open-source; strong SDK coverage and autocapture lower instrumentation cost for small teams.
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Claude The clear category leader for self-hosted product analytics — a genuinely integrated suite (funnels, retention, cohorts, paths, feature flags, experiments, session replay, and a SQL layer over ClickHouse) that matches Amplitude/Mixpanel feature-for-feature while remaining MIT/open-source; strong SDK coverage and autocapture lower instrumentation cost for small teams.
Gemini Delivers the most complete open-source product analytics suite by integrating event funnels, cohort retention, session replay, feature flags, and A/B testing on a scalable ClickHouse backend. Assumes team prioritizes an all-in-one product telemetry platform.
Grok Deepest open-source product analytics (events, funnels, retention, cohorts, paths, SQL) plus native session replay, feature flags, and experiments in one stack; MIT license, active development, strong SDKs, and production self-host path that matches what engineering-led product teams actually ship with
GPT Near-tied for first and clearly deepest analytically, combining autocapture, funnels, cohorts, retention, SQL, replay, experiments, flags, surveys, warehouse integrations, and unusually broad SDK coverage
Where it falls shortper GPT Self-hosting is officially unsupported, resource-heavy, limited to free-plan features, and recommended only for modest hobby-scale deployments, so it is not for teams expecting dependable vendor-backed production operation
per Claude PostHog itself now steers users to Cloud and only supports the Docker self-host for small volumes (roughly <100k events/month); running the full ClickHouse+Kafka+Redis stack reliably at scale is heavy ops work they no longer officially back.
per Gemini High operational complexity and infrastructure footprint requiring dedicated ClickHouse maintenance and DevOps overhead when scaled.
per Grok Resource-heavy self-host (ClickHouse/Kafka stack) that PostHog itself limits to lower volumes and actively steers larger users toward their cloud
- 2GPT #4Claude #2Gemini #2Grok —
The most turnkey self-hosted product analytics after PostHog, with a mature Community Edition, strong mobile/SDK instrumentation, crash reporting, funnels, retention, and user profiles — a good fit for app-centric teams that want product metrics without building a warehouse pipeline.
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Claude The most turnkey self-hosted product analytics after PostHog, with a mature Community Edition, strong mobile/SDK instrumentation, crash reporting, funnels, retention, and user profiles — a good fit for app-centric teams that want product metrics without building a warehouse pipeline.
Gemini Tailored specifically for mobile and web product analytics, offering real-time user profiles, event tracking, and granular security controls for self-hosted environments.
GPT The strongest established mobile-first option, with mature iOS, Android, web, desktop, and server SDKs, real-time behavioral analysis, retention, segmentation, remote configuration, push messaging, and long-running self-hosted deployments
Where it falls shortper GPT Many advanced capabilities and serious operational support sit in the paid self-hosted edition, while the open-source Lite experience is less flexible and modern than the leaders
per Claude The Community Edition is deliberately feature-gated (drill, cohorts, and much of the advanced analytics live behind the paid Enterprise tier), so the "free" self-host is materially thinner than the demo suggests.
per Gemini Advanced cohorting, crash analytics, and enterprise reporting plugins are locked behind proprietary paid tiers, limiting the open-source edition.
- 3GPT #1Claude —Gemini —Grok #2
Best self-hosting balance: full AGPL product, straightforward Docker deployment, ClickHouse scale, funnels, retention, profiles, revenue, dashboards, A/B testing, and broad web, mobile, and server SDKs without artificial self-hosted feature limits
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GPT Best self-hosting balance: full AGPL product, straightforward Docker deployment, ClickHouse scale, funnels, retention, profiles, revenue, dashboards, A/B testing, and broad web, mobile, and server SDKs without artificial self-hosted feature limits
Grok Clean Mixpanel-style product analytics (funnels, retention, cohorts, user profiles, events) plus web metrics in a single lightweight Docker Compose deploy; AGPL, cookieless by default, self-hosted features identical to cloud, low ops overhead for teams that want ownership without PostHog complexity
Where it falls shortper GPT Smaller and less battle-tested ecosystem than the leaders; not the safest choice for very large or highly regulated enterprises needing mature support
per Grok Newer project with smaller community and ecosystem than PostHog; lacks built-in feature flags/experiments
- 4GPT —Claude #5Gemini #3Grok #3
Combines session replay with developer-focused product telemetry like network logs, error tracking, and DOM events for diagnosing complex app flows.
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Gemini Combines session replay with developer-focused product telemetry like network logs, error tracking, and DOM events for diagnosing complex app flows.
Grok Best-in-class self-hosted session replay with strong product
Claude Best self-hosted option when the product question is "why did users behave this way," pairing session replay with product-analytics-style funnels, click maps, and issue tracking in one open-source, privacy-controllable stack you fully own.
Where it falls shortper Claude Its analytics are replay/UX-centric and shallower than PostHog/Countly on cohorts, retention, and warehouse-grade querying, so it complements rather than replaces a true product-analytics engine.
per Gemini Focused primarily on qualitative session-level troubleshooting rather than macro funnel conversion and cohort retention analytics.
- 5GPT —Claude #4Gemini #4Grok —
The most mature and widely deployed self-hostable open-source analytics, with a large plugin ecosystem, full data ownership, GDPR-friendly defaults, and enough event/goal/funnel tooling (some via paid plugins) to cover lighter product-analytics needs on a simple LAMP stack.
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Claude The most mature and widely deployed self-hostable open-source analytics, with a large plugin ecosystem, full data ownership, GDPR-friendly defaults, and enough event/goal/funnel tooling (some via paid plugins) to cover lighter product-analytics needs on a simple LAMP stack.
Gemini Offers a mature, privacy-first analytics suite with custom event tracking, funnels, and heatmaps backed by total data ownership. Near-tied with OpenReplay on enterprise reliability but ranked lower due to legacy web-centric design.
Where it falls shortper Claude It is fundamentally web/session analytics, not event-first product analytics — cohort, retention, and behavioral depth are weak or paywalled, so it disappoints teams needing Amplitude-style product insight.
per Gemini Traditional pageview-centric architecture makes modern event-stream product analytics and cohort tracking clunky at scale.
- 6GPT #3Claude —Gemini —Grok —
Excellent modern web-product stack with easy deployment, ClickHouse performance, funnels, retention, journeys, identified-user profiles, replay, error tracking, Web Vitals, raw SQL, and strong privacy defaults
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GPT Excellent modern web-product stack with easy deployment, ClickHouse performance, funnels, retention, journeys, identified-user profiles, replay, error tracking, Web Vitals, raw SQL, and strong privacy defaults
Where it falls shortper GPT Its younger ecosystem and mainly web/Node-oriented instrumentation make it less suitable than OpenPanel or PostHog for mature native-mobile and polyglot products
- 7GPT —Claude #3Gemini —Grok —
The strongest choice when you want to own your behavioral data end-to-end — a battle-tested, schema-first event collection pipeline that lands clean, validated events in your warehouse (Snowflake/BigQuery/Redshift/Databricks) for unlimited modeling; unmatched for data quality and governance at scale.
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Claude The strongest choice when you want to own your behavioral data end-to-end — a battle-tested, schema-first event collection pipeline that lands clean, validated events in your warehouse (Snowflake/BigQuery/Redshift/Databricks) for unlimited modeling; unmatched for data quality and governance at scale.
Where it falls shortper Claude It is a pipeline, not an analytics app — there's no built-in funnels/retention UI, so you must bring your own BI/modeling layer and engineering to get answers, making it wrong for teams wanting turnkey dashboards.
- 8GPT #5Claude —Gemini #5Grok —
Lightweight, polished, privacy-friendly self-hosting with PostgreSQL, custom events, funnels, journeys, cohorts, revenue reporting, dashboards, and now session replay; a near-tie with Countly for small web products and much easier to operate
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GPT Lightweight, polished, privacy-friendly self-hosting with PostgreSQL, custom events, funnels, journeys, cohorts, revenue reporting, dashboards, and now session replay; a near-tie with Countly for small web products and much easier to operate
Gemini Ultra-lightweight, privacy-focused analytics engine that deploys easily on standard relational databases with minimal maintenance overhead. Assumes simple event tracking is sufficient.
Where it falls shortper GPT Still closer to advanced web analytics than full product intelligence, with thinner identity, experimentation, feature-management, mobile, and data-pipeline capabilities
per Gemini Lacks true product analytics features like multi-step funnel analysis, user cohort retention, and feature flag integration.
Rank history
Just missed the top 5
GPT Matomo — exceptionally mature self-hosted web analytics, but product workflows are secondary and several crucial features require paid plugins · Plausible Analytics — excellent simple privacy-first traffic analytics, but lacks the user-level behavioral depth expected from product analytics
Claude Plausible / Umami — excellent lightweight, privacy-first web analytics but not event-based product analytics — no real funnels, cohorts, or retention · RudderStack — strong open-source CDP/event pipeline, but like Snowplow it routes data rather than providing the analytics UI itself
Gemini Plausible Analytics — Outstanding lightweight web analytics tool, but lacks user-level retention matrices and deep product funnel analysis
By model
ChatGPT
- 1.OpenPanel
- 2.PostHog
- 3.Rybbit
- 4.Countly
- 5.Umami
Claude
- 1.PostHog
- 2.Countly
- 3.Snowplow
- 4.Matomo
- 5.OpenReplay
Gemini
- 1.PostHog
- 2.Countly
- 3.OpenReplay
- 4.Matomo
- 5.Umami
Grok
- 1.PostHog
- 2.OpenPanel
- 3.OpenReplay
Common questions
What is the best open-source product analytics for self-hosting according to AI models?
PostHog leads. 3 of 4 models rank PostHog the top pick. The current top 3: PostHog, Countly, OpenPanel. Ranked by asking ChatGPT, Claude, Gemini, Grok the same buying question and merging their top-5 picks, updated 2026-08-10. Source: modelsagree.com.
Which open-source product analytics for self-hosting did each AI model pick first?
ChatGPT: OpenPanel. Claude: PostHog. Gemini: PostHog. Grok: PostHog.
Do the AI models agree on the best open-source product analytics for self-hosting?
Not unanimous. ChatGPT picks OpenPanel.
What changed in the latest open-source product analytics for self-hosting ranking?
In the latest poll (2026-08-10): OpenReplay climbed 1 spot, Rybbit climbed 1 spot; Matomo dropped 1 spot, Snowplow dropped 1 spot. The models are re-polled on demand, so this ranking moves.
How is this open-source product analytics for self-hosting ranking made?
ChatGPT, Claude, Gemini, Grok are each asked the same buying question in a fresh session with no system steering. Their top-5 answers are merged (rank 1 = 5 pts … rank 5 = 1 pt) into the consensus ranking, re-polled on demand and tracked over time.
More on how polling works: full methodology →
Cite this ranking
ModelsAgree, “Best open-source product analytics for self-hosting” — merged ranking from ChatGPT, Claude, Gemini & Grok, polled 2026-08-10. https://modelsagree.com/best/best-open-source-product-analytics-for-self-hosting (CC BY 4.0)
Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled on demand