Developer Data Tools,
Engineered for Zero Data Leaks.
Format JSON, convert to CSV, parse XML, and merge multiple configuration files with monospace code-editor precision. Every transformation executes locally in your browser memory.
{
"api": "DataTools v2.4",
"environment": "production",
"server": {
"host": "edge-cluster-04.internal",
"region": "us-east-1",
"uptime_seconds": 864200,
"healthy": true
},
"rate_limits": {
"tier": "enterprise",
"requests_per_minute": 50000,
"burst_allowance": 1.25
},
"routes": [
{
"path": "/v1/transform",
"method": "POST",
"latency_p99_ms": 14.2
},
{
"path": "/v1/validate",
"method": "POST",
"latency_p99_ms": 8.1
},
{
"path": "/v1/health",
"method": "GET",
"latency_p99_ms": 1.9
}
],
"security": {
"tls_version": "1.3",
"strict_transport": true,
"cors_allowed_origins": [
"https://app.datatools.dev",
"https://datatools.dev"
]
}
}Why Developers Choose DataTools
Purpose-built to replace ad-supported online formatters that log your private database dumps, secrets, and customer logs.
Zero Network Exfiltration
Unlike traditional utility sites that send POST requests to a backend API to parse your strings, DataTools handles 100% of the computation in your local V8 JavaScript runtime.
Sub-Millisecond Execution
No roundtrip latency, no DNS lookup, and no rate limits. Paste a 10MB JSON file and format it instantly with multi-line quote awareness and syntax highlighting.
Prototype Pollution Defense
Our deep merge algorithm actively sanitizes __proto__, constructor, and prototype properties, keeping dev teams safe from malicious config injections.
Developer Guides & Whitepapers
Mastering JSON vs CSV: When to Stream, When to Nest
A deep dive into serialization tradeoffs, flat tabular vs hierarchical data structures, memory overhead, and when streaming 100MB+ datasets beats JSON in modern data pipelines.
Safely Parsing & Transforming XML in Modern JavaScript & Web APIs
Understanding DOMParser, preventing XXE & Billion Laughs entity expansion, handling tricky namespaces and CDATA tags, and converting legacy enterprise XML to clean JSON payloads.
Deep Merging JSON Objects: Strategies, Pitfalls, and Prototype Pollution Protection
A practical guide to recursive object merging, resolving key collisions, array union vs overwrite semantics, and defending against the critical prototype pollution security attack vector.