Best Product Analytics Software for Flutter

Find and compare the best Product Analytics software for Flutter in 2026

Use the comparison tool below to compare the top Product Analytics software for Flutter on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Aptabase Reviews

    Aptabase

    Aptabase

    $10/month
    Aptabase is a versatile open-source analytics platform designed for mobile, desktop, and web applications. Developers can easily integrate an SDK for various supported frameworks, select specific events to monitor, and access their activity through a dynamic real-time dashboard. This dashboard features counts of events, session data, and breakdowns by app and operating system versions, as well as device types and geographical locations; in addition, users can export data in CSV format. Aptabase provides both a hosted service with options for EU or US data compliance and a self-hosted deployment alternative. With a strong emphasis on user privacy, it avoids the use of persistent identifiers, cookies, and device fingerprinting, which means it does not collect user-level metrics like monthly active users or individual retention rates. The platform supports a wide range of SDKs, catering to developers in Swift, Kotlin, Flutter, React Native, Electron, Tauri, .NET MAUI, web, React, Angular, Unity, Unreal Engine, Godot, Python, and C++. Overall, Aptabase stands out as an innovative solution for developers looking to analyze application performance while prioritizing user privacy.
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    GrowthBook Reviews

    GrowthBook

    GrowthBook

    $20 per month
    GrowthBook is a versatile open-source platform designed for feature flagging and experimentation, aimed at empowering teams to confidently deploy code and assess the effects of product modifications using their own data resources. It allows users to create and manage a variety of feature flags—such as Boolean, number, string, and JSON—while implementing targeting rules, percentage rollouts, safe ramp-ups, and experiment assignments. The platform is optimized for data warehouses, enabling seamless connections to existing data sources like SQL data warehouses, Mixpanel, Google Analytics, and more, facilitating experiments and analyses without transferring raw user-level Personally Identifiable Information (PII) to external services. It offers a flexible approach to usage; teams can choose to utilize solely feature flagging, solely experiment analysis, or integrate both functionalities. Significant features include high-performance lightweight SDKs capable of handling billions of feature lookups daily, a user-friendly visual editor for no-code A/B testing, and comprehensive experiment reporting that employs advanced statistical methods. Additionally, GrowthBook empowers teams to make data-driven decisions with confidence, fostering a culture of experimentation and innovation.
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