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Alternatives to r/datascience

A short, curated guide — not an automatic related dump. Figures come from SubMouse's safe-for-work directory when we have them.

r/datascience (about 2.8M members, directory rank #402) is a space for data science professionals to discuss the field. Machine-learning research, visualization craft and broader science news each fit better elsewhere when the question is not applied DS practice.

How to choose

Stay on datascience for DS careers, tooling and applied projects. Use MachineLearning for ML research and models, dataisbeautiful for visualization showcases, and science for wider research news.

Starting point: r/datascience

r/datascience — Data Science

  • Members: 2.8M
  • Directory rank: #402
  • 7-day growth: +761

A space for data science professionals to engage in discussions and debates on the subject of data science.

Curated alternatives

r/MachineLearning

Machine Learning

  • Members: 3.1M
  • Directory rank: #348

When to choose it: ML papers, models and research discussion.

Why it is here: Directory entry for ML practice and research (about 3.1M members, rank #348).

How it differs from r/datascience: ML research focus versus applied data-science remit.

r/dataisbeautiful

DataIsBeautiful

  • Members: 21.9M
  • Directory rank: #33

When to choose it: Data visualizations that effectively convey information.

Why it is here: Public description: DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim o (about 21.9M members, rank #33). Viz craft rather than DS career talk.

How it differs from r/datascience: Visualization showcase versus professional DS discussion.

r/science

Reddit Science

  • Members: 34.6M
  • Directory rank: #11

When to choose it: Broader scientific research news beyond data work.

Why it is here: Public description: This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and (about 34.6M members, rank #11). Listed among science-neighbourhood rooms with datascience.

How it differs from r/datascience: General science news versus DS professional practice.

Need a longer list?

Run the automatic finder for r/datascience (results are matched from our directory; that page is not indexed): Find related to r/datascience.

Members and public descriptions come from SubMouse's safe-for-work directory (as of 2026-11-02 UTC); 7-day growth measured from 2026-10-26. Posts/day and culture claims appear only when we have them — missing fields stay n/a. Directory rank is listing order. Communities outside the published Top 100 open in the info tool instead of a full community page. Guide updated 2026-11-07.