Software Alternatives & Startups

Filelight VS Random Data Monster

Compare Filelight VS Random Data Monster and see what are their differences

Filelight

Filelight is an application to visualize the disk usage on your computer.

Rating
0 reviews
Random Data Monster

Random Data Monster is a comprehensive suite of advanced random data generation that features generating secure passwords, names, numbers and more than 30+ Google Sheets custom functions to generate random data.

No screenshot yet
Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Filelight seems to be more popular. It has been mentioned 11 times since March 2021.

social mentions
11 vs 0
Hard Disk Usage popularity
100% vs 0%
alternatives listed
56 vs 77

Base details

Website, pricing, platforms and company facts side by side.

F
Filelight
RDM
Random Data Monster
Website apps.kde.org randomdata.monster
Listed in

Features and specs

What each product offers, as listed by its team.

F
Filelight 5 features
RDM
Random Data Monster 4 features
  • Visual Representation
    Filelight provides a visual representation of disk usage using concentric rings, making it easy to identify large files and directories that are taking up space.
  • User-Friendly Interface
    The interface is intuitive and easy to navigate, allowing users to quickly understand their disk usage without steep learning curves.
  • Cross-Platform Compatibility
    Being part of the KDE suite, Filelight is available on various platforms including Linux, Windows, and macOS.
  • Open Source
    Filelight is open source, allowing users to study, modify, and distribute the software according to their needs.
  • Integration with KDE
    Filelight integrates well with other KDE applications, providing a seamless user experience for those using KDE Desktop Environment.

Possible disadvantages

  • Limited Functionality
    Compared to some other disk usage analyzers, Filelight has limited features and may not have advanced options like automatic cleanup tools.
  • Performance on Large Filesystems
    Some users report performance issues when scanning very large filesystems, as the visualization can take significant time to generate.
  • Dependency on KDE Libraries
    Filelight requires KDE libraries to be installed, which might be cumbersome for users not using the KDE desktop environment.
  • No Real-time Monitoring
    Filelight does not provide real-time disk usage monitoring, which can be a downside for users needing continuous tracking.
  • Ease of Use
    Random Data Monster provides a user-friendly interface that allows users to generate random datasets quickly without requiring extensive technical knowledge.
  • Variety of Options
    The platform offers a wide range of data types and formats, enabling users to create complex and diverse datasets suited to different testing and development scenarios.
  • Customizability
    Users can customize the parameters and constraints of the data generation to better match their specific needs and requirements.
  • Time Efficient
    By automating the process of creating datasets, it saves time for developers and researchers who need large amounts of data quickly.

Possible disadvantages

  • Limited to Non-Realistic Data
    The random nature of the generated data might not reflect realistic distributions, which could be a limitation for testing applications that rely on specific data patterns.
  • Potential Privacy Concerns
    While the data is randomly generated, using it without sufficient safeguards could inadvertently violate data protection norms, especially if the data resembles real people or entities.
  • Dependency on Internet Access
    The tool requires internet access for data generation, which could be a limitation for users who need offline access or are working in restricted environments.
  • Scalability Issues
    Generating very large datasets might lead to performance bottlenecks or increased response time, making it less efficient for big data applications.

Analysis

An editorial look at what each product does well and who it suits.

F
Filelight
RDM
Random Data Monster

Overall verdict

  • Yes, Filelight is generally considered a good tool for users who want to analyze disk usage effectively and visually. It is user-friendly, efficient, and provides detailed insights into how space is being used on a drive, which is particularly useful for users looking to manage their storage more effectively.

Why this product is good

  • Filelight is a disk space analyzer that provides a visual representation of disk usage. It is appreciated for its intuitive interface and interactive sunburst chart that makes understanding disk space distribution easier. It integrates well with the KDE environment and supports a wide variety of file systems, making it a versatile tool for users who need to quickly identify large files or directories that consume a lot of space.

Recommended for

    Filelight is recommended for users who prefer graphical representation of disk usage and are comfortable in the KDE desktop environment. It is also suitable for users who need to manage disk space across different file systems and those who want an easy way to identify space-consuming files and directories.

Overall verdict

  • Random Data Monster (randomdata.monster) is a solid, convenient tool for quickly generating realistic sample and test data, offering a free, easy-to-use interface that suits developers and testers who need mock data without setup hassle.

Why this product is good

  • Provides quick generation of realistic dummy and test data on demand
  • Typically free and accessible directly in the browser with no installation required
  • Supports multiple data types and formats useful for development and testing
  • Simple, straightforward interface that saves time when populating databases or demos
  • Helpful for prototyping without exposing or relying on real user data

Recommended for

  • Developers needing mock data to test applications and APIs
  • QA and testers populating databases with sample records
  • Designers creating realistic demos and prototypes
  • Students and educators learning about data handling and formats
  • Anyone needing quick throwaway data without privacy concerns

Videos

Walkthroughs and reviews on video.

F
Filelight 2 videos + Add
RDM
Random Data Monster 0 videos + Add

Filelight : Shows where your diskspace is being used in Linux Mint (Ubuntu)

More videos

  • - Plasma 5.18: Installing apps from Dolphin Menus (Filelight app)

No Random Data Monster videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
F
Filelight
RDM
Random Data Monster
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Filelight and Random Data Monster. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

F
Filelight 11 mentions
RDM
Random Data Monster 0 mentions
  • WinDirStat – Windows Directory Statistics
    Many good alternative listed already. But I have quite liked FileLight which is cross platform https://apps.kde.org/filelight/ Likely not as fast as WizTree though. - Source: Hacker News / over 2 years ago
  • Where to check wheres everything installed?
    You’ll need to boot into Desktop Mode to drill deeper regarding what’s installed on your SD card or internal storage. In Desktop Mode, you can navigate around using the built-in file explorer, Dolphin. You can also download and install... Source: over 3 years ago
  • This doesn’t seem normal?
    I would open the Discover store in Desktop mode and download Filelight, which will help visualize the used space on your drive. It might help illuminate what’s taking up so much space, pun intended. Source: over 3 years ago

View more

Tracking Random Data Monster since Jul 2025.

Alternatives to Filelight and Random Data Monster

When comparing Filelight and Random Data Monster, you can also consider the following products.