What are data science communities?

Communities for data scientists and analysts covering machine learning, statistics, Python, and real-world data projects. Slack, Discord, and Reddit all have active communities, ranging from beginner-friendly spaces for breaking into the field to more technical groups discussing research papers and production ML systems.

Where do most data science communities live?

Independent Platforms is the most common platform in this report (32% of 31 listings).

Are most of these communities free?

94% are free to join. The rest require payment, an application, or both.

How big is a typical data science community?

Among listings with public size data, the average is 952K members and the median is 29K. The median is usually the better signal for a typical group because a few large ones inflate the average.

What do these communities usually include?

Forum is the most common (61%). Others that show up often include online/offline events, live chat, and newsletter.

How does Hive Index collect this data?

Listings are submitted by community builders and researchers, reviewed for relevance, and updated with platform, feature, member, review, and traffic data where available.

Where can I see the full list?

The full directory is on Hive Index's Data Science topic page, where you can filter by platform, size, features, and more.

Data Science Communities Report: Stats, Platforms,...

Executive Summary

We analyzed 31 data science communities listed on Hive Index to understand where people gather, what these groups offer, and which communities attract the most interest.

The big picture: data science communities are broad and fragmented, with many small groups and a few very large outliers.

Source: Hive Index community database · Updated periodically

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Communities: 31
Platforms: 9
Avg members: 952K
Median members: 29K

Where Data Science Communities Are Hosted

Independent Platforms
10(32%)
Slack
5(16%)
LinkedIn
4(13%)
Discord
3(10%)
WhatsApp
3(10%)
Reddit
2(6%)
X / Twitter
2(6%)
Facebook
1(3%)

Format mix

Forum / feed-based
14(45%)
Chat communities
11(35%)
Other platforms
6(19%)

Forum / feed-based is most common (45%), but chat communities is also well represented (35%).

Independent Platforms leads, but Slack and LinkedIn also represent meaningful shares.

Audience Size & Access

Community size

Tiny
<20 members
0(0%)
Small
20-100 members
2(6%)
Medium
100-1,000 members
4(13%)
Large
1,000-10,000 members
2(6%)
Huge
10,000-100,000 members
4(13%)
Massive
100,000-1M members
2(6%)
Gigantic
1M+ members
5(16%)

12 communities have unknown member counts.

Free vs paid

The average is much higher than the median (952K vs 29K), which usually means a few large groups are pulling the average up.

How Data Science Differs From Other Categories

Data Science is more free-to-join, and more platform-diverse, compared with typical Hive Index topics.

Metric	Data Science	Hive Index average
Free to join	94%	84%
Median members	29K	25K
Average members	952K	662K
Paid or apply-to-join	6%	16%
Live chat	42%	41%
Discord share	10%	18%

Feature Mix

Common features appear in at least 15% of listings.

Common Features

Forum
61%
Online/Offline Events
48%
Live Chat
42%
Newsletter
23%
Job Board
16%
Pairing
16%

Niche Features

Courses
13%
Paid Community
6%

Forum appears on 61% of listings.

What Visitors Click

Outbound clicks / mo: 115

Platform supply vs. clicks

Platform	Communities	Share of communities	Outbound clicks	Share of clicks
Independent Platforms	10	32%	8	7%
Slack	5	16%	30	26%
LinkedIn	4	13%	13	11%
Discord	3	10%	18	16%
WhatsApp	3	10%	30	26%
Reddit	2	6%	12	10%
X / Twitter	2	6%	2	2%
Facebook	1	3%	2	2%

Share is calculated within this topic.

Most-clicked formats

Chat communities
78(68%)
Forum / feed-based
22(19%)
Other platforms
15(13%)

Most-clicked features

Live Chat
82(71%)
Online/Offline Events
56(49%)
Pairing
38(33%)
Forum
34(30%)
Job Board
30(26%)
Newsletter
18(16%)

Most-clicked size ranges

Gigantic
23(20%)
Medium
21(18%)
Small
19(17%)
Huge
6(5%)
Large
5(4%)

Top-clicked listings

The Data Freelancer
18(16%)
Data Nation
13(11%)
DS and ML Enthusiasts
13(11%)

Most clicks go to chat communities and forum / feed-based communities.

Trends

Founded year

2007

2008

2010

2011

2014

2018

2020

2021

20 communities have no founding year on file.

Most listed groups were founded around 2020.

Methodology & FAQ

Methodology

This report uses communities in the Hive Index database tagged as Data Science. We exclude removed or suppressed listings. Member counts, traffic, features, reviews, and ratings may vary by source and are updated periodically.

Updated periodically

FAQ

: Communities for data scientists and analysts covering machine learning, statistics, Python, and real-world data projects. Slack, Discord, and Reddit all have active communities, ranging from beginner-friendly spaces for breaking into the field to more technical groups discussing research papers and production ML systems.
: Independent Platforms is the most common platform in this report (32% of 31 listings).
: 94% are free to join. The rest require payment, an application, or both.
: Among listings with public size data, the average is 952K members and the median is 29K. The median is usually the better signal for a typical group because a few large ones inflate the average.
: Forum is the most common (61%). Others that show up often include online/offline events, live chat, and newsletter.
: Listings are submitted by community builders and researchers, reviewed for relevance, and updated with platform, feature, member, review, and traffic data where available.
: The full directory is on Hive Index's Data Science topic page, where you can filter by platform, size, features, and more.

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