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Nodeflip is an all-in-one workbench for anyone who wrangles XML or JSON, developers, QA engineers, data analysts, and API consumers alike. It loads even multi-megabyte zip-files containing thousands of XML/JSON-files directly in the browser, then equips you with the tools you need to understand, compare, and transform complex hierarchical data in seconds.
Key capabilities • Interactive Tree + Grid Viewer Browse nested structures and tabular arrays side-by-side, with instant search, sort, filter, and on-the-fly aggregations. • Lightning-fast Bulk Analysis Drag in thousands of files; Nodeflip auto-detects schemas, surfaces anomalies, and lets you slice, dice, and summarise without exporting data to external servers. • Side-by-Side Diff & Lineage Canvas Visually trace identical nodes across multiple files, compare versions, and map data flow between systems to spot breaking changes before they ship. • Smart Test-Data Generator Use any file as a template to spin up realistic sample data, sequences, random values, UUIDs, dates, and more, for load testing or sandbox environments. • Browser Extension Integration Our free Chrome/Edge add-on intercepts XML/JSON links (or highlighted snippets) and opens them straight in Nodeflip, eliminating copy-paste friction.
Why teams choose Nodeflip • Productive – Cuts inspection and debugging time from minutes to seconds. • Private – All processing happens locally; your data never leaves the browser. • Versatile – Equally at home with API payloads, configuration files, log messages, or massive data exports.
Skip the spreadsheets, text editors, and ad-hoc scripts. Nodeflip turns raw XML and JSON into instant, actionable insight, right where you work.
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Nodeflip's answer:
Backend & API developers, QA/test engineers, data engineers/analysts, and integration consultants who live in structured payloads and need to understand, validate, and transform them faster.
Nodeflip's answer:
Nodeflip is the only XML / JSON workbench that combines a live tree-and-grid viewer, bulk data analysis, lineage tracing, diffing, and test-data generation, all in the browser. Because every byte is processed client-side (WebAssembly), you get desktop-class speed with zero data egress, even on multi-MB or multi-thousand-file workloads.
Based on our record, PostgreSQL seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this new series we will be creating an API written in go, using a framework like Chi, connecting to a PostgreSQL, and have it deployed to a site like Railway. - Source: dev.to / 5 months ago
PostgreSQL 17 Performance Guide — Official docs for the latest performance improvements. - Source: dev.to / 6 months ago
You also might be saying, Why not include the credit and attribution data with the product data and just use one data file? Thats a great question. I could have for the purpose of this demo, but if there were a backend to this project and a relational database like PostgreSQL attached to it, I would still have both sets of data in separate tables in the database. By using a foreign key between related records in... - Source: dev.to / 12 months ago
In this quick post, we’ll walk through implementing an Upsert operation in Hasura using PostgreSQL and GraphQL. - Source: dev.to / almost 2 years ago
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / over 2 years ago
MySQL - The world's most popular open source database
ETL tools - ETL tools is a web-based platform that provides you the advanced-level features and tools which you use to automate the process of your business and manage the huge data.
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
Data Extractor - Data Extractor permits to concentrate information in a scanty arrangement contained inside different records and gather the information you require in an inner organized table.
SQLite - SQLite Home Page
Data Analysis Tool - This tool is for 2D measurement data or data prepared with 2 columns.
