
LNAV
Nibbler
BareTail
Logdy
Compact Log Viewer
Threlte
Vega-Lite
Command-line tool to parse, aggregate, sum, average, min/max, percentile, and sort log data.
Mockaroo
Random Data Monster
Universal Data Generator
Dummy File Generator
DUMMY DATABASE
RANDOM.ORG
Wheel of Names
Data generator that can create a table filled with pseudo-random content.

Which is more popular?
Based on our record, Angle-grinder seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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DC
Data Creator
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| Website | github.com | ecleti.com |
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Angle-grinder and Data Creator. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Found it much easier to just used structured logs and slice them with [angle grinder](https://github.com/rcoh/angle-grinder). - Source: Hacker News / about 2 years ago
Seems like similar to lnav[1] or angle-grinder[2]. [1] https://lnav.org/ [2] https://github.com/rcoh/angle-grinder. - Source: Hacker News / over 4 years ago
Tracking Data Creator since Mar 2021.
When comparing Angle-grinder and Data Creator, you can also consider the following products.

The Log File Navigator (lnav) is an advanced log file viewer for the console.
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A realistic data generator to test your app
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Free tool for testing how good your website is, and what you can do to improve it. Check accessibility, SEO, social media, compliance and more.
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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.
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BareTail is a real-time log file monitoring tool. Features Real-time file viewing
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Generate realistic Salesforce test data with proper relationships and record types in minutes! Direct upload to sandboxes—no CSV wrangling, no production data risks.
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