Communities related to r/dataisbeautiful, with what each one is for and how it differs. Member figures come from SubMouse's safe-for-work directory.
r/dataisbeautiful (about 21.9M members, directory rank #33) is for visualizations that effectively convey information. Professional data-science discussion, machine-learning research and multi-field science news each have clearer homes when the post is not a visualization.
Stay on dataisbeautiful for charts and visual storytelling. Use datascience for professional data-science practice, MachineLearning for ML research and methods, and science for broader research news.
r/dataisbeautiful — DataIsBeautiful
DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.
Data Science
When to choose it: Professional data-science practice rather than viz-sharing.
Why it is here: Public description: data science professionals discussing the field (about 2.8M members, rank #402). See MachineLearning vs datascience.
How it differs from r/dataisbeautiful: Professional practice versus visualization showcase.
Machine Learning
When to choose it: ML research and methods beyond pretty charts.
Why it is here: Major ML community (about 3.1M members, rank #348); paired with datascience on SubMouse.
How it differs from r/dataisbeautiful: ML methods versus information visualization.
Reddit Science
When to choose it: Multi-field scientific research news.
Why it is here: Large science hub (about 34.6M members, rank #11). See science vs askscience.
How it differs from r/dataisbeautiful: Broad science news versus data visualization.
Use the related subreddits finder for r/dataisbeautiful: Find related to r/dataisbeautiful.
Members and public descriptions come from SubMouse's safe-for-work directory (as of 2026-11-09 UTC); 7-day growth measured from 2026-11-02. Directory rank is listing order. Guide updated 2026-11-07.