What is ReadStats?
ReadStats offers readers a unique platform to visualize and analyze their Goodreads reading data through interactive charts and insightful analytics. With a focus on privacy, all data is processed directly in the user's browser, ensuring full confidentiality without the need for sign-ups or account creation.
Users can uncover trends in their reading journey, understand rating patterns, revisit favorite authors, explore the eras of their preferred books, and even compare their ratings to the broader community. The platform transforms raw reading data into engaging, easy-to-understand breakdowns, making it effortless to obtain a comprehensive "Goodreads Wrapped" experience.
Features
- Instant Visualizations: Transform Goodreads CSV data into interactive charts and insights instantly.
- Private Data Processing: All analytics are performed locally in the user's browser for maximum privacy.
- No Account Needed: Use the service without sign-ups or account creation.
- Comprehensive Reading Analytics: Analyze reading trends, rating patterns, favorite authors, publication years, book lengths, and rating controversies.
- Data Import Options: Easily upload personal Goodreads data or explore with sample, anonymized data.
Use Cases
- Monitor and evaluate personal reading trends over time.
- Gain insights into book rating habits and preferences.
- Identify favorite authors and publication eras.
- Discover reading patterns for book club discussions or literary goals.
- Share personalized reading summaries with friends or online communities.
FAQs
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How secure is my data when using ReadStats?
All data processing is done locally in your browser, so your reading data never leaves your device, ensuring full privacy and security. -
Do I need to create an account to use ReadStats?
No account or sign-up is necessary to use ReadStats; all features are available instantly. -
Is this service free of charge?
Yes, ReadStats is completely free for all users.
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ReadStats Uptime Monitor
Average Uptime
100%
Average Response Time
112.5 ms
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