Python app built with Databutton? Let’s review it.
Expert code review for Python apps built with Databutton. We find Databutton-specific bugs, fix Python security issues, and optimize performance. From $19.
Databutton issues we find in Python projects
Problems specific to Databutton's code generation patterns when building Python apps.
SQL injection in AI-generated query strings
Databutton's generated FastAPI endpoints sometimes build SQL queries using f-strings or string concatenation with user-supplied parameters, bypassing parameterized query protections entirely.
No authentication on data API endpoints
Data pipeline endpoints are frequently generated without authentication middleware, exposing raw database access and sensitive business metrics to anyone who discovers the API URL.
Unhandled data type mismatches crashing pipelines
Generated data processing code assumes clean input schemas. When upstream data contains nulls, type changes, or unexpected formats, pipelines throw unhandled exceptions and fail silently.
Missing pagination on large dataset queries
Data queries load entire tables into memory without limit or offset clauses. With more than a few thousand rows, responses time out and memory usage spikes.
Python issues we check for
Common Python problems that affect production readiness.
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.
Start with a self-serve audit
Get a professional review of your Databutton Python 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.
Frequently asked questions
Can you review Python code generated by Databutton?
Yes. We regularly audit Python projects built with Databutton and understand the specific patterns and issues it introduces. Our review covers security, performance, and deployment readiness.
What Python issues does Databutton typically create?
Common issues in Databutton-generated Python code include: sql injection in ai-generated query strings, no authentication on data api endpoints, unhandled data type mismatches crashing pipelines. Combined with Python-specific concerns like django debug mode in production and missing csrf protection.
How do I make my Databutton Python project production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Databutton-built Python projects, the typical path is: fix security gaps, address Python-specific performance issues, then configure deployment. We provide a fixed quote after the audit.
How much does it cost to review Databutton-generated Python code?
Our code audit starts at $19 and covers security, performance, architecture, and deployment readiness. For fixes, our Fix & Ship plan is $199. Larger projects get a custom fixed quote — no hourly billing or surprises.
Related resources
Need help with your Databutton Python project?
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