Countly
Open-source, privacy-friendly analytics for mobile and web.
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Use it free
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Self-host it
Run the open-source version on your own infrastructure.
What is Countly?
Countly is an open-source analytics platform designed for privacy-first data collection and analysis across digital products. It enables organizations to track user interactions, measure engagement, and optimize customer experiences while maintaining data sovereignty. Built on the AGPL-3.0 license, Countly is used by developers, product teams, and enterprises seeking to analyze user behavior without relying on third-party tracking. The tool addresses challenges in data privacy, compliance, and actionable insights by providing a self-hosted or hosted solution that prioritizes first-party data ownership. Its AI-ready foundation allows for predictive analytics and personalized user journeys, making it suitable for applications ranging from mobile apps to IoT devices. By eliminating reliance on external data processors, Countly reduces risks associated with data breaches and regulatory scrutiny, offering a secure alternative to traditional analytics tools.
How it works
Countly is a privacy-focused analytics platform that enables organizations to collect, analyze, and act on user data across digital touchpoints. It emphasizes first-party data collection, ensuring users retain control over their information while allowing businesses to derive actionable insights. The tool’s primary purpose is to help developers and product teams understand user behavior, optimize digital experiences, and build personalized interactions. By avoiding third-party data dependencies, Countly mitigates privacy risks and aligns with modern data governance standards. Countly offers SDKs for mobile, web, desktop, and IoT devices, enabling comprehensive data capture from various platforms. It supports self-hosted or hosted deployment models, giving users control over data storage and processing. Features like data validation, filtering, and transformation tools ensure data accuracy before analysis.
How to use it
- 1Integrate Countly’s SDKs into your application to capture user interactions across devices. 2. Configure data collection settings to define what metrics and events to track. 3. Use the data management tools to validate, filter, or transform data before analysis. 4. Connect Countly to internal systems or external platforms via APIs for deeper insights. Practical tips: Choose the appropriate SDK for your platform (e.g., mobile, web), ensure data governance policies are in place, and leverage the self-hosted option for maximum control over data storage.
What it can do
- analytics platform
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/Countly/countly-server
- license: AGPL-3.0 — free to use
- privacy: Self-hosted — you control your data
Limitations
- Requires technical expertise to set up and maintain self-hosted deployments
- Limited real-time analytics capabilities compared to some proprietary competitors
- Data processing and analysis may require significant computational resources
- Learning curve for mastering advanced data governance and transformation tools
- Smaller community support compared to more established analytics platforms
Understanding the result
Open-source, privacy-friendly analytics for mobile and web.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by (MIT).
- Built with
- (Countly/countly-server)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Query
- Output
- Text
Built with Countly/countly-server. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- License
- MIT
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- / — GitHub Repository
Upstream project · GitHub
- AGPL-3.0 License
Upstream project
Frequently asked
What privacy features does Countly offer?
Countly prioritizes privacy by allowing organizations to collect and process data without third-party dependencies. It provides self-hosted or hosted options, ensuring data remains under user control. Features like data anonymization, encryption, and compliance with GDPR/CCPA standards help mitigate privacy risks while enabling actionable insights.
How does Countly’s AI functionality work?
Countly’s AI-ready foundation enables predictive analytics by processing collected data to identify trends and user behavior patterns. This includes features like user segmentation, retention analysis, and personalized recommendation modeling. The AI capabilities are built on top of the platform’s data collection and governance tools, allowing for scalable insights without relying on external data processors.
How do I set up data collection for a web application?
To collect data for a web app, integrate Countly’s JavaScript SDK into your frontend code. Configure the SDK to track specific events (e.g., button clicks, page views) and define user properties. Use the data management tools to validate and filter the collected data before exporting or analyzing it through the platform’s dashboard.
How does Countly compare to Mixpanel or Amplitude?
Unlike Mixpanel and Amplitude, Countly is open-source and emphasizes privacy-first data collection without third-party tracking. It offers self-hosted deployment options, whereas Mixpanel and Amplitude are primarily SaaS platforms. Countly’s AI capabilities are integrated into its core, while competitors often require additional tools for advanced analytics. However, Countly’s community and feature set may lag behind proprietary alternatives in some areas.
What should I do if data isn’t appearing in Countly?
First, verify that the SDK is correctly integrated and configured for your application. Check for errors in the SDK initialization or event tracking code. Ensure data collection is enabled in the platform’s settings and that there are no network issues preventing data transmission. Review the data validation rules to confirm the collected data meets filtering criteria. If issues persist, consult the Countly documentation or community forums for troubleshooting guidance.