Recommended Tools for Data Analysts (2026)

JsonExport is built to keep JSON conversion fast, private, and painless — but most real workflows need a few more tools around it.

Below is a short, curated list of tools we genuinely recommend for data analysts and developers working with JSON, exports, and reporting.

1) Universal Undo (Android)

If you do analysis work on the go (Slack, email drafts, notes, tickets), losing typed text is painfully common.

Universal Undo is a lightweight Android safety net that helps you recover recently deleted text across many apps.

Why it matters for analysts: it reduces “lost work” time and prevents re-writing long drafts, incident notes, or data QA checklists.

2) Postman (API workflows)

When your data comes from APIs, Postman is still one of the best ways to save repeatable requests and capture example JSON payloads for debugging.

3) JSON Crack (structure visualization)

Sometimes you need to understand the shape of a payload before you flatten and export it.

JSON Crack is a quick way to visualize nested structures as a graph so you can spot arrays, deep objects, and repeated nodes.

4) regex101 (cleanup + extraction)

Regex is useful for last-mile cleanup: extracting IDs, trimming prefixes, validating formats, and standardizing key strings.

regex101 makes the “test and explain” loop much faster.

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What to do next

If you have a tool you think should be on this list, send it to us and tell us what problem it solves (and for which role: analyst, engineer, ops, or PM).