A fast playground to query and extract values from pasted data so you can validate results without writing throwaway scripts.

Free, browser-based utilities for everyday developer workflows

Data Tools

Utilities for inspecting payloads, extracting fields, preparing SQL inputs, and working with CSV/JSON at speed.

  • Jump into JSONPath, SQL, and CSV tools from one hub.
  • Extract fields, build queries, and inspect datasets.
  • Runs locally in your browser. No uploads.
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Common workflows:
  • Validate and format JSON, then extract values with JSONPath/JMESPath.
  • Build SQL IN clauses from lists and chunk large inputs.
  • View/clean CSV quickly, convert between CSV/JSON/YAML.
Tools
Loading Data tools from index.html...
Planned / Recommended Tools

These are high-impact additions for this category. You can add them incrementally; each can be implemented as a static HTML+JS tool.

JSONPath / JMESPath Tester

Paste JSON + expression -> show matched values + paths. Great companion to JSON Formatter.
extraction api payloads debug

SQL IN Clause Builder / Chunker

Paste a list -> build IN clause with quotes, parentheses, bind variables, and chunking.
sql productivity bulk ops

CSV Viewer / Cleaner

View CSV as a table, detect delimiter, trim whitespace, remove empty rows, export cleaned CSV.
csv cleaning table view

SQL Formatter (Basic)

Keyword casing + indentation for common SQL statements (select/insert/update/cte).
formatting readability

JSON Diff (Order-insensitive)

Normalize + compare JSON (ignore key order; optional ignore array order). Useful for API response diffs.
diff api testing

Schema Inspector (JSON)

Infer basic schema from JSON payload (types, optional fields, sample values). Great for quick documentation.
schema docs
When you implement any of these, add a tool card to index.html with data-tool-category="Data & Query".

How to use Data Query Tool

Paste your structured data — JSON arrays or CSV — into the input panel, then write a query using SQL-like syntax or JSONPath expressions to filter and transform it. Results appear instantly in the output panel.

Common use cases

Data engineers use this to run ad hoc queries on API responses or log exports without spinning up a database. Developers use it to filter large JSON payloads during debugging, and analysts use it to explore datasets quickly before writing production queries.

Why run this in your browser?

All processing happens locally in your browser. Your data never leaves your machine, making it safe for sensitive payloads, internal API responses, and confidential configurations.