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fx VS Devart Data Generator for MySQL

Compare fx VS Devart Data Generator for MySQL and see what are their differences

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fx logo fx

Command-line JSON processing tool

Devart Data Generator for MySQL logo Devart Data Generator for MySQL

Populate MySQL databases with massive volumes of random test data using dbForge Data Generator for MySQL. Download a trial version now!
  • fx Landing page
    Landing page //
    2023-09-23
  • Devart Data Generator for MySQL Landing page
    Landing page //
    2023-10-19

dbForge Data Generator for MySQL is a powerful GUI tool for creating massive volumes of realistic test data. The tool includes a large collection of predefined data generators with customizable configuration options that allow populating MySQL database tables with random data. You don't have to create your test data manually anymore - dbForge Data Generator for MySQL makes the data generation process easy and fast.

fx features and specs

  • Interactive JSON Viewer
    fx provides an interactive command-line JSON viewer that allows users to explore and manipulate JSON data intuitively.
  • Simple and Lightweight
    The tool is compact and easy to use, making it an excellent choice for users who need quick data examination without complex setup.
  • Scriptable
    Users can use JavaScript expressions to filter and transform JSON data, offering flexibility in data manipulation.
  • Integration
    fx can be easily integrated into shell scripts and other command-line tools due to its standard input/output operations.
  • Cross-Platform Compatibility
    Being a Node.js-based tool, fx is cross-platform and can run on multiple operating systems supporting Node.js.

Possible disadvantages of fx

  • Limited Functionality
    fx is designed primarily for viewing and transforming JSON, so it may not have advanced features found in full-fledged data processing tools.
  • JavaScript Requirement
    Users need to be familiar with JavaScript to effectively use fx's data transformation features, which might be a barrier for non-programmers.
  • Command-Line Only
    As a command-line tool, fx lacks a graphical user interface, which might be less appealing for users who prefer visual data interaction.
  • Performance
    Handling very large JSON files may lead to performance issues, as fx is primarily built for lightweight quick tasks.

Devart Data Generator for MySQL features and specs

No features have been listed yet.

fx videos

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Suzuki FX | Suzuki Alto First Generation: Owner Review: Price, Specs & Features | PakWheels

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  • Review - The PC-FX - Review - Game Sack

Devart Data Generator for MySQL videos

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Category Popularity

0-100% (relative to fx and Devart Data Generator for MySQL)

fx

Devart Data Generator for MySQL

File Manager
100 100%
File Manager
0% 0
Database Tools
0 0%
Database Tools
100% 100
File Explorer
100 100%
File Explorer
0% 0
Databases
0 0%
Databases
100% 100

User comments

Share your experience with using fx and Devart Data Generator for MySQL. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, fx 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.

fx mentions (19)

  • Command Line Tools I Like (2022)
    Coincidentally, yesterday I decided I needed a JSON TUI and landed on fx (https://github.com/antonmedv/fx), which seems to have come out of the Wave terminal project and looks quite similar to jless. Also uses vim keybindings. - Source: Hacker News / 7 months ago
  • Show HN: Posting v1 – The modern HTTP client that lives in your terminal
    This is great, I could see myself using it daily. The only hindrance I've found so far is navigating large responses. Would be cool to have some way to collapse chunks of JSON (a la https://github.com/antonmedv/fx), or even just more vim key navigation, like G/gg, %, {/}, and search. - Source: Hacker News / 10 months ago
  • I wrote JOSN, a command-line JSON browser
    Neat! You mentioned not getting the hang of jq, have you played with fx? Source: about 2 years ago
  • Show HN: Llama – Terminal File Manager
    This looks like something I'd use often. Thanks for creating it! For anyone who's not familiar, Anton is also behind the highly useful fx[0] for wrangling JSON data in the terminal. [0] https://github.com/antonmedv/fx. - Source: Hacker News / over 2 years ago
  • I'm developing a new command line tool for querying and transforming JSON files , called ~Q (pronounced "unquery"). My design goal is to create a tool that is powerful yet easy to use (aim to be more intuitive for users than existing tools such as jq). Let me know your thoughts and suggestions.
    I've been so fed up with jq's annoying syntax that I began thinking about developing something that can perform json operations in familiar syntax such as javascript but I ran into fx (https://github.com/antonmedv/fx) and it's been pretty great actually. Source: over 2 years ago
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Devart Data Generator for MySQL mentions (0)

We have not tracked any mentions of Devart Data Generator for MySQL yet. Tracking of Devart Data Generator for MySQL recommendations started around Mar 2021.

What are some alternatives?

When comparing fx and Devart Data Generator for MySQL, you can also consider the following products

jq - jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...

Softbuilder SB Data Generator - SB Data Generator is a simple and powerful tool to generate and populate selected tables or entire databases with realistic test data.

jello - jello is a command line tool that filters JSON data using pure python syntax.

Dummi - The smart way to generate random data for your projects.

X-plore - X-plore - file manager for mobile devices. With wide range of functions on the device's files system.

Devart Data Generator for Oracle - dbForge Data Generator for Oracle is a comprehensive tool for populating Oracle schemas with massive volumes of test table data.

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