Building a mobile app with Python? Let us review it.
Expert code review for mobile apps built with Python. We fix Python-specific security gaps, optimize performance, and handle deployment. From $19.
Common Python issues we find
Real problems from Python codebases we've reviewed.
Django debug mode in production
DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.
Missing CSRF protection
CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.
Insecure deserialization
Using pickle or yaml.load with untrusted data, enabling remote code execution.
Slow database queries
ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.
Mobile App challenges to solve
Key mobile app concerns that AI-generated code often misses.
App Store and Play Store approval
Apple and Google have strict review guidelines covering permissions, privacy policies, content ratings, and technical requirements. AI-generated apps frequently get rejected for missing privacy disclosures, requesting unnecessary permissions, or failing to handle edge cases that reviewers specifically test for.
Offline functionality and network handling
Mobile users lose connectivity constantly — in elevators, on subways, in rural areas. AI tools build apps that assume a constant internet connection. Without offline caching, request queuing, and graceful degradation, your app shows blank screens or crashes when the network drops.
Device fragmentation and screen sizes
Your app needs to work on hundreds of different devices — from small Android phones to large tablets, with notches, punch-holes, and different aspect ratios. AI-generated layouts often break on devices other than the one used during development.
Performance and battery drain
Mobile users notice when an app drains their battery or feels sluggish. Unoptimized rendering, excessive API polling, background processes that never stop, and memory leaks are common in AI-generated mobile code. These issues cause uninstalls faster than missing features.
What we check
Key areas we review for Python mobile app projects.
App Store compliance — privacy policy, permissions, content guidelines
Network handling — offline mode, retry logic, connection state management
Device compatibility — layout on different screen sizes and OS versions
Performance — rendering speed, memory usage, battery impact
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Python mobile app project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a mobile app built with Python?
Yes. We regularly audit Python mobile app projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Python mobile apps?
Common issues include django debug mode in production and missing csrf protection on the Python side, combined with mobile app-specific concerns like app store and play store approval and offline functionality and network handling. We check for all of these and more.
How do I make my Python mobile app production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Python mobile app projects, the typical path is: fix security gaps, address mobile app-specific requirements, optimize Python performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Python mobile app?
Our code audit delivers a full report within 24 hours. For Python mobile app projects, we check security, architecture, performance, and deployment readiness across all Python-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Python by Use Case
Need help with your Python mobile app?
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