Community profile

r/datascience

Weekly data through Sep 27, 2026

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Posts and comments, every week since October 2023
1,092−65.9%in 4 weeks, year over year
202420252026Peak 4,966 · Oct 8, 2023
Members2.77M+2.8% year over yearRead Sep 27, 2026
Posts and comments in 4 weeks1,092−65.9% year over year4 weeks to Sep 27, 2026
Unique contributors per week263−34.5% year over year4-week average to Aug 30, 2026
Weekly visitors Beta accessWeekly visitors for r/datascience come with private beta access.Request access

Three years, week by week

Weekly activity in r/datascience

Three years of weekly history. Download any chart as a PNG.

Posts and comments per week · 3 yearsPublic posts plus comments, r/datascience

Week ending Sep 27, 2026297−67.9% on the same week a year earlier

Posts and comments per week0200040006000Nov ’232024MarMayJulSepNov2025MarMayJulSepNov2026MarMayJulSepWeek, dated by the Sunday it endedDownload this chart as a PNG imageDownload PNGPeak 4,966 · Oct 8, 2023Low 189 · Sep 20, 2026Posts and comments per week02000400060002024Jul2025Jul2026JulWeek, dated by the Sunday it endedDownload this chart as a PNG imagePNGPeak 4,966 · Oct 8, 2023Low 189 · Sep 20, 2026

Each point is a complete Monday–Sunday UTC week, dated by the Sunday it closed. The busiest week in the range is marked, and the quietest where it stands well apart.

Weekly unique contributors · 3 yearsUnique contributors to r/datascience

Week ending Aug 30, 2026261−39.6% on the same week a year earlier

Unique contributors per week01000200030002024AprJulOct2025AprJulOct2026AprJulWeek, dated by the Sunday it endedDownload this chart as a PNG imageDownload PNGPeak 1,845 · Oct 29, 2023Unique contributors per week01000200030002024Jul2025Jul2026JulWeek, dated by the Sunday it endedDownload this chart as a PNG imagePNGPeak 1,845 · Oct 29, 2023

Accounts that posted or commented in the week, each counted once. Updated monthly.

Members · 3 yearsMembers of r/datascience

Week ending Sep 27, 20262.77M+2.8% on the same week a year earlier

Members01M2M3M4M2024AprJulOct2025AprJulOct2026AprJulWeek, dated by the Sunday it endedDownload this chart as a PNG imageDownload PNGMembers01M2M3M4M2024Jul2025Jul2026JulWeek, dated by the Sunday it endedDownload this chart as a PNG imagePNG

The member count Reddit shows for the community, read once a week.

Posts and comments · 3 yearsPosts against comments, r/datascience

Week ending Sep 27, 2026Weekly posts16−75.4% on the same week a year earlierWeekly comments281−67.3% on the same week a year earlier

Posts per weekComments per week020040060002000400060002024AprJulOct2025AprJulOct2026AprJulWeek, dated by the Sunday it endedDownload this chart as a PNG imageDownload PNGPosts per weekComments per week020040060002000400060002024Jul2025Jul2026JulWeek, dated by the Sunday it endedDownload this chart as a PNG imagePNG

Posts on the left scale, comments on the right. Each series is auto-scaled.

Weekly visitorsWeekly visitors, r/datascience
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On the chart
Often read alongside
Weekly contributions against Members · 3 yearsr/datascience
Left axis
Right axis
Range
Scale
Week ending Sep 27, 2026
CommunityWeekly contributions Left axisMembers Right axis
ValueSince Oct 8, 2023Since the week beforeValueSince Oct 8, 2023Since the week before
r/datascience297−94.0%+57.1% from Sep 202.77M+158.3%0.0% from Sep 20
Posts and comments per weekMembers01K2K3K4K5K1M1.5M2M2.5M3MMarAugJan ’25JunNovAprSepWeek, dated by the Sunday it endedDownload this chart as a PNG imageDownload PNGPosts and comments per weekMembers02K4K6K1M2M3M4MJun ’24Mar ’25Dec ’25Sep ’26Week, dated by the Sunday it endedDownload this chart as a PNG imagePNG

Public posts plus comments in each complete Monday-to-Sunday week, UTC. Members are the member count Reddit shows for the community, one reading a week. Solid lines use the left scale and dashed lines the right. Each scale is auto-scaled.

Open this community in the subreddit tracker

Activity pattern

Why r/datascience is classified as Event-driven

Oscylo reads the newest 52 weeks of posts, comments and unique contributors and gives each subreddit one of the patterns below. The figures behind the label are shown beside it.

Activity patternEvent-driven

Activity in r/datascience is concentrated in bursts, with less consistent timing across years. That pattern points to event-driven activity, though it stops short of naming a cause.

How the label is read

Concentration2.57×
2.5×

The busiest four weeks against the quietest, with the yearly trend taken out. At 2.5× or more the year counts as concentrated: Seasonal if the busy weeks came at the same time in earlier years, Event-driven if they did not, and Variable when there is too little history to tell.

Repeats on earlier years0.23
00.60

How closely this year's busy weeks match their timing in the three years before, on a scale from −1 to 1. At 0.60 or more the pattern counts as Seasonal.

RisingSteadyCoolingSeasonalEvent-drivenVariableNew
Posts and comments per weekThe newest 52 weeks against the 52 before, r/datascience

Week ending Sep 27, 2026Newest 52 weeks297The 52 weeks before925

Posts and comments per week01000200030004000Nov ’252026MarMayJulSepWeek, dated by the Sunday it endedDownload this chart as a PNG imageDownload PNGPeak 1,056 · May 3, 2026Posts and comments per week020004000Nov ’252026MarMayJulSepWeek, dated by the Sunday it endedDownload this chart as a PNG imagePNGPeak 1,056 · May 3, 2026

The 52 weeks before are drawn on the same calendar, so each week lines up with the matching week of the previous year.

Community anatomy

r/datascience statistics

Six measures of how the community posts and replies, averaged over the twelve weeks from Jun 8, 2026 to Aug 30, 2026. Each bar places r/datascience among every subreddit on Oscylo; the diamond marks the middle of its topic.

Comments per post

14.3 comments for each new post

LowerHigher

Higher than 39% of subreddits. Sciences middle: 13.4.

Threaded replies

41% of comments reply to another comment

LowerHigher

Higher than 17% of subreddits. Sciences middle: 53%.

Text posts

80% of new posts are text rather than links or media

LowerHigher

Higher than 84% of subreddits. Sciences middle: 51%.

Activity per contributor

1.8 posts and comments per unique contributor each week

LowerHigher

Higher than 16% of subreddits. Sciences middle: 2.0.

Most active 1%

12% of posts come from the busiest 1% of posting accounts

LowerHigher

Higher than 83% of subreddits. Sciences middle: 6.9%.

Participation

0.1 unique contributors in the latest week for every 1,000 members

LowerHigher

Higher than 1% of subreddits. Sciences middle: 4.0.

How contributions landPosts and comments by score
r/datascienceAverage subreddit
Share of posts and comments0%10%20%30%40%50%60%70%0–1: 64%64%0–12–3: 17%17%2–34–7: 7.4%7.4%4–78–15: 5.2%5.2%8–1516–31: 3.1%3.1%16–3132–127: 3%3%32–127128–511: 0.8%0.8%128–511512–2K: <0.1%<0.1%512–2K2K+: <0.1%<0.1%2K+Score (upvotes minus downvotes)Download this chart as a PNG imageDownload PNGShare of posts and comments0%10%20%30%40%50%60%70%0–1: 64%0-12–3: 17%2-34–7: 7.4%4-78–15: 5.2%8-1516–31: 3.1%16-3132–127: 3%32-127128–511: 0.8%128-511512–2K: <0.1%512-2K2K+: <0.1%2K+Score (upvotes minus downvotes)Download this chart as a PNG imagePNG

Score is upvotes minus downvotes a day or more after the post or comment was made, over the same twelve weeks. Outlined bars show the average mix across every subreddit on Oscylo.

Against its category

r/datascience beside every Sciences subreddit

Posts and comments in r/datascience are −65.9% year over year. The middle Sciences subreddit is at −6.0%.

Year-on-year changeEvery Sciences subreddit, posts and comments year over year
−75%−50%−25%0+25%+50%+100%+200%+400%Middle −6.0%r/science: +28.7%r/space: −41.6%r/askscience: +17.2%r/dataisbeautiful: +8.9%r/MapPorn: +1.9%r/nasa: −24.0%r/psychology: −6.5%r/spaceporn: −37.6%r/math: −36.5%r/chemistry: −31.7%r/spacex: −42.5%r/Physics: −48.0%r/Astronomy: −29.5%r/AskEngineers: −47.7%r/theydidthemath: +3.1%r/geography: −57.3%r/AskPhysics: −6.7%r/EngineeringPorn: −0.2%r/EngineeringStudents: +4.3%r/Biohackers: −3.3%r/mapporncirclejerk: −58.4%r/labrats: −0.8%r/statistics: −58.8%r/mbti: −36.4%r/mathmemes: −10.1%r/bodylanguage: −75.3%r/imaginarymaps: +9.0%r/dataengineering: −59.1%r/learnmath: −13.6%r/emotionalintelligence: −44.5%r/tornado: −12.8%r/ElectricalEngineering: −0.7%r/physicsmemes: −13.3%r/GoogleEarthFinds: +25.2%r/Paleontology: −43.5%r/Entomology: −0.7%r/AskAnthropology: −19.6%r/infp: −29.1%r/fossilid: −29.3%r/geology: −10.7%r/energy: +46.0%r/climate: +83.3%r/MechanicalEngineering: +9.4%r/Archaeology: −46.1%r/analytics: +3.5%r/infj: −55.8%r/telescopes: −28.5%r/biotech: −11.8%r/mathematics: +156.9%r/askmath: −9.1%r/intj: −24.1%r/civilengineering: +20.3%r/dataanalysis: −42.5%r/AskScienceDiscussion: −3.4%r/DisasterUpdate: +841.8%r/askastronomy: +27.4%r/climatechange: +22.2%r/Aging: −20.7%r/AncestryDNA: −6.0%r/astrophysics: −42.4%r/geoguessr: −14.2%r/23andme: −39.0%r/Biochemistry: −34.2%r/psychologyofsex: +268.1%r/Popular_Science_Ru: +77.8%r/StructuralEngineering: −2.0%r/zoology: −19.6%r/PhysicsStudents: +12.8%r/cogsci: −0.3%r/ChemicalEngineering: −23.4%r/immortalists: +0.9%r/chemistrymemes: −40.5%r/aerospace: +57.7%r/whereisthis: −8.0%r/Biohacking: 132×r/MathJokes: −43.5%r/OrganicChemistry: −3.4%r/chemhelp: −30.7%r/EconomyCharts: −24.8%r/SpaceXMasterrace: +29.3%r/meteorology: +29.1%r/guessthecity: +163.7%r/cryptography: +5.1%r/UKWeather: 10×r/foodscience: +10.3%r/charts: −91.3%r/Earthquakes: +72.4%r/HotScienceNews: +332.2%r/Radiation: −51.9%r/NuclearPower: +45.0%r/desmos: −30.6%r/Chempros: −16.0%r/AskChemistry: +12.3%r/hungary_pszichologia: −3.7%r/CFD: −1.7%r/cursedchemistry: −10.4%r/askgeology: +150.6%r/IndiaStatistics: +96.1%r/microbiomenews: 636×r/ClimateNews: 11×r/metallurgy: −36.2%r/Nutraceuticalscience: +627.0%r/aerodynamics: +207.1%r/softwareengineer: +727.1%r/comp_chem: −6.4%r/radon: +11.1%r/wetter: 36×r/WRXingaround: 30×r/sciencer/spacer/asksciencer/dataisbeautifulr/MapPornr/nasar/psychologyr/spacepornr/mathr/chemistryr/datascience −65.9%Posts and comments, year over yearDownload this chart as a PNG imageDownload PNG−75%−25%0+25%+100%+400%Middle −6.0%r/science: +28.7%r/space: −41.6%r/askscience: +17.2%r/dataisbeautiful: +8.9%r/MapPorn: +1.9%r/nasa: −24.0%r/psychology: −6.5%r/spaceporn: −37.6%r/math: −36.5%r/chemistry: −31.7%r/spacex: −42.5%r/Physics: −48.0%r/Astronomy: −29.5%r/AskEngineers: −47.7%r/theydidthemath: +3.1%r/geography: −57.3%r/AskPhysics: −6.7%r/EngineeringPorn: −0.2%r/EngineeringStudents: +4.3%r/Biohackers: −3.3%r/mapporncirclejerk: −58.4%r/labrats: −0.8%r/statistics: −58.8%r/mbti: −36.4%r/mathmemes: −10.1%r/bodylanguage: −75.3%r/imaginarymaps: +9.0%r/dataengineering: −59.1%r/learnmath: −13.6%r/emotionalintelligence: −44.5%r/tornado: −12.8%r/ElectricalEngineering: −0.7%r/physicsmemes: −13.3%r/GoogleEarthFinds: +25.2%r/Paleontology: −43.5%r/Entomology: −0.7%r/AskAnthropology: −19.6%r/infp: −29.1%r/fossilid: −29.3%r/geology: −10.7%r/energy: +46.0%r/climate: +83.3%r/MechanicalEngineering: +9.4%r/Archaeology: −46.1%r/analytics: +3.5%r/infj: −55.8%r/telescopes: −28.5%r/biotech: −11.8%r/mathematics: +156.9%r/askmath: −9.1%r/intj: −24.1%r/civilengineering: +20.3%r/dataanalysis: −42.5%r/AskScienceDiscussion: −3.4%r/DisasterUpdate: +841.8%r/askastronomy: +27.4%r/climatechange: +22.2%r/Aging: −20.7%r/AncestryDNA: −6.0%r/astrophysics: −42.4%r/geoguessr: −14.2%r/23andme: −39.0%r/Biochemistry: −34.2%r/psychologyofsex: +268.1%r/Popular_Science_Ru: +77.8%r/StructuralEngineering: −2.0%r/zoology: −19.6%r/PhysicsStudents: +12.8%r/cogsci: −0.3%r/ChemicalEngineering: −23.4%r/immortalists: +0.9%r/chemistrymemes: −40.5%r/aerospace: +57.7%r/whereisthis: −8.0%r/Biohacking: 132×r/MathJokes: −43.5%r/OrganicChemistry: −3.4%r/chemhelp: −30.7%r/EconomyCharts: −24.8%r/SpaceXMasterrace: +29.3%r/meteorology: +29.1%r/guessthecity: +163.7%r/cryptography: +5.1%r/UKWeather: 10×r/foodscience: +10.3%r/charts: −91.3%r/Earthquakes: +72.4%r/HotScienceNews: +332.2%r/Radiation: −51.9%r/NuclearPower: +45.0%r/desmos: −30.6%r/Chempros: −16.0%r/AskChemistry: +12.3%r/hungary_pszichologia: −3.7%r/CFD: −1.7%r/cursedchemistry: −10.4%r/askgeology: +150.6%r/IndiaStatistics: +96.1%r/microbiomenews: 636×r/ClimateNews: 11×r/metallurgy: −36.2%r/Nutraceuticalscience: +627.0%r/aerodynamics: +207.1%r/softwareengineer: +727.1%r/comp_chem: −6.4%r/radon: +11.1%r/wetter: 36×r/WRXingaround: 30×r/sciencer/spacer/asksciencer/dataisbeautifulr/MapPornr/datascience −65.9%Year over yearDownload this chart as a PNG imagePNG

Each subreddit's newest four weeks of posts and comments against the same four weeks a year earlier. The scale stretches near zero and compresses the extremes, and changes beyond +400% sit at the edge.

Data and sharing

Take the data with you

Every week as a spreadsheet

Weekly posts, comments, unique contributors and members for r/datascience, one row per week across the three years shown here.

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Licensed under CC BY-NC 4.0: free for non-commercial use with credit to Oscylo and a link to this page.

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Oscylo. r/datascience weekly activity. oscylo.com/sub/datascience, weeks through Sep 27, 2026.

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