PennyWise AI vs Wispar
Side-by-side comparison of two open source alternatives
PennyWise AI
PennyWise AI — Free & Open-Source, private SMS-powered expense tracker Automatically extracts transaction data from bank SMS messages using pattern-based parsing. Works 100% offline - no internet connection required. Automatic expense tracking from bank SMS with clean categories, subscription detection, and clear insights. Key Features: • Pattern-Based SMS Parsing - Uses regex patterns to extract transactions from 20+ banks • 100% Offline Core Features - Transaction parsing, analytics, and exports work without internet • Optional AI Chat - Download Qwen 2.5 model (1.5GB, Apache 2.0) for natural language queries • Clear Analytics - Charts and insights to see spending patterns • Subscription Tracking - Detects and monitors recurring payments • Auto-Categorization - Clean merchant names and intelligent categories • Data Export - Export as CSV or PDF for records and taxes • Material You Design - Clean interface with dynamic theming Currently Supported Banks (20+): • HDFC, SBI, ICICI, Axis, PNB, IDBI • Indian Bank, Federal Bank, Karnataka Bank • Canara Bank, Bank of Baroda, Union Bank • Kotak, IndusInd, IDFC First, Central Bank • Utkarsh, HSBC, Jio Payments Bank • Jupiter, Slice, and payment gateways like Juspay • More banks being added regularly! Privacy & Security: • No internet required for core functionality (SMS parsing, analytics, exports) • Pattern-based transaction extraction - no AI needed for parsing • Optional AI chat uses on-device Qwen 2.5 model (Apache 2.0 licensed) • SMS permission is read-only - we never send messages • No user accounts or cloud sync required • Open source - audit the code yourself on GitHub • Zero data collection or tracking How It Works: 1. Grant SMS permission (read-only access) 2. App automatically parses bank SMS using regex patterns 3. View categorized transactions, analytics, and subscriptions 4. Optionally download AI model for chat features Perfect for: • Automatic daily expense tracking • Understanding spending patterns and budgeting • Managing subscription payments • Financial planning and analysis • Maintaining detailed transaction records Technical Notes: • Core SMS parsing uses regex patterns, not AI • Optional Qwen 2.5 model (Apache 2.0) for chat feature only • F-Droid flavor excludes all proprietary dependencies PennyWise respects your privacy while helping you take control of your finances. Join thousands of users who trust PennyWise for secure, automatic expense tracking without compromising their data.
Wispar
Wispar is your personal research companion — a privacy-friendly app for exploring academic journals and scientific articles. Using the Crossref and OpenAlex APIs, Wispar helps you stay updated on your favourite journals. Follow journals to receive the latest research abstracts in your main feed — no account required. - Search scholarly articles and journals - Follow journals to stay updated - Add custom keywords and queries to your feed - Access open-access articles via Unpaywall - Use EZproxy to unlock paywalled research - Chat with AI about your downloaded papers - Send articles to your Zotero library - View graphical abstracts - Translate abstracts to your preferred language - Built for researchers, students, and the academically curious Wispar is user-friendly, open-source, and designed to respect your privacy. As a community-built project, contributions are always welcome! If you'd like to contribute, please visit our GitHub repository: https://github.com/Scriptbash/Wispar If the app isn't available in your language, please consider helping with translations by visiting our hosted Weblate instance: https://hosted.weblate.org/engage/wispar
| Feature | PennyWise AI | Wispar |
|---|---|---|
| License | MIT | GPL-3.0-or-later |
| Install sources | F-DroidGitHub | F-DroidGitHub |
| Categories | ProductivityAI AssistantFinance | NotesProductivityAI Assistant |
| Features | Ad-FreeOpen SourceNo Tracking | Ad-FreeOpen SourceNo Tracking |
| Platforms | Android | Android |
| Website | ||
| Source code |