A targeted static analyzer for Angular, React, Node.js, SQL, and AWS. Zero SonarQube bloat — 100% focused on render waste, N+1 query loops, heap memory leaks, and unindexed database bottlenecks.
Tailored rule engines purpose-built for each runtime ecosystem. Real detection of memory leaks, event loop blocks, and DOM re-render waste.
Targets change detection cycles, RxJS lifecycle memory leaks, and DOM node recreation.
Detects runaway re-render cycles, hook dependency traps, and unmemoized context providers.
Pinpoints single-threaded event loop blocks, connection leaks, and N+1 query patterns.
Flags unindexed foreign keys, deep OFFSET pagination, and under-provisioned serverless memory.
SonarQube is built for code smells, cyclomatic complexity, and unit test coverage. Lighthouse runs client-side inside Chromium. Neither audits full-stack runtime scalability.
| Evaluation Criteria | Performance Optimizer | SonarQube / SonarCloud | Google Lighthouse |
|---|---|---|---|
| Detection Purpose | 100% Pure Latency & Efficiency | Style, Duplication & Security | Synthetic Browser Metrics |
| Angular Change Detection Audit | OnPush, @for, detectChanges loop | No runtime CD awareness | Cannot inspect component code |
| React Hook & Re-render Analysis | useEffect loops, useMemo, Context | Basic ESLint rules only | Black-box client runtime |
| Database N+1 Query in Loops | O(N) loop query detection | Blind to iteration roundtrips | No backend / SQL access |
| Serverless Infrastructure Review | Lambda CPU scaling, RDS Proxy | No CloudFormation/Serverless rules | Zero cloud config visibility |
| Setup & Footprint | 0 Dependencies • Run 1 Python File | Heavy JVM daemon, PostgreSQL DB | Requires Chrome headless browser |
Select an architectural scenario below or paste your team's code to test real-time pattern analysis right in your browser:
Every rule includes severity weights, priority ranking, and copyable before/after remediation patches.
Zero compilation, zero package installation. Plug directly into your local development flow or CI/CD gate.
Scan your entire repository with a single command:
python optimizer.py \ --frontend ./frontend \ --backend ./backend
Block Pull Requests introducing critical regressions:
python optimizer.py \ --project . \ --fail-on critical \ --min-score 75 \ --markdown-summary pr.md
Suppress accepted design trade-offs directly in code:
// perf-ignore ANG001
@Component({ ... })
// perf-ignore NODE001
fs.readFileSync('init.json');
Performance Optimizer is an open-source project licensed under the MIT License. Adding custom performance rules is straightforward and modular.
analyzers/ (e.g. react_analyzer.py, node_analyzer.py).Issue(id='RULE001', title='...', severity=Severity.HIGH, ...) with line number and code snippet.tests/test_analyzers.py and submit your Pull Request!