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Trend in Models and research · tag pytorch · through Sep 2026

PyTorch Growing

On TutorHero's Everything Index, PyTorch is growing on GitHub: 3.15 of every 10,000 new public repos over the last three months (3.0k a month), +133% vs a year ago and 2.1x its level when ChatGPT launched. The 12-month forecast says rising (+31%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).

Per 10k new repos3.153.0k new repos a month
Year over year+133%3 months: +8%
Next 12 months+31%80% band +10% to 4x
2032, median of history0.54x90% of past cases: 0.01x to 2.5x
Attention2.29%of new stars, -49% in a year
Jev 2032 callnot read yetonly top trends are sent to Jev
Share on X

Since 2019, and the range to 2032

0.030.10.313103020192020202120222023202420252026202720282029203020312032Range to 2032 (history of similar lines)Stable Diffusion releasedChatGPT launchesGPT-4Llama 2, open weightsModel Context ProtocolDeepSeek-R1Claude Code previewHigh 7.80Median 1.69Low 0.03

New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar lines

The range is not a forecast of this line: it is what GitHub lines in the same state (more than doubled its share of new repos in a year) did 1 to 5 years later, 2019 to 2026, applied to today's level. Past 5 years it is stretched, not measured. Checked out of time (learned before 2022, scored after), 71% of outcomes landed inside the 90% range, so read it as wide. Open it in the Everything chart.

Week by week

Last week841 new reposOct 12 to Oct 18 · -36% against the field
Last 4 weeks▼ -16%3.3k new repos, against the 4 weeks before and the field
Wikipedia, 7 days2.8k views+14% against the 4 weeks before, all of Wikipedia the same way
AprMayJunJulAugSepOct

Wikipedia views a day, last 8 weeks

Aug 28Sep 4Sep 11Sep 18Sep 25Oct 2Oct 9Oct 16

New public repos with the pytorch tag each week (Monday to Sunday, UTC). The outlined bars, last week included, are still filling in, as tags are often added days after a repo is created, so their height will grow a little. "Against the field" divides the change by what the typical tag did, so a wave that lifts every tag does not count. Hover for the numbers.

Built vs talked about

Hacker News7 stories a month-34% share of HN vs a year ago · titles with "pytorch"
Wikipedia9.6k views a month-40% share of Wikipedia vs a year ago · PyTorch
Talk vs buildingTalk and building in stepHacker News -34% vs GitHub new repos +133% over the year, compared with the typical trend

Each line is its own share (of all new GitHub repos, all Hacker News stories, all English Wikipedia views, all new stars on the repos we track), shown as a share of its own peak, so the timing and shape compare even though the units differ. Hover for the counts. Tap a name to hide or show a line.

What it means

Studentslearning it, contributing, getting hired
  • Worth learning now: PyTorch is growing, +133% share of new GitHub repos vs a year ago.
  • Start by reading NandhaKishorM/laya (+30.0k stars in 3 months) and Comfy-Org/ComfyUI (+5.0k stars in 3 months).
  • People to follow: Hugging Face, Comfy Org, Sebastian Raschka.
Founders and builderswhat to build next
  • Getting crowded: new repos +133% but attention -49%, so each new project competes harder for stars.
  • 6.70 new stars per new repo over 3 months, vs 8.50 for the typical trend: about average demand per project.
  • The 12-month forecast for its share: +31% (Rising).
  • Talk and building in step: Hacker News -34% vs new repos +133% in a year, close to the typical trend.
Investorswhich fields deserve research time
  • History: of past GitHub lines that more than doubled its share of new repos in a year, 61% had a smaller share 3 to 5 years later and 8% at least doubled.
  • Attention: 2.29% of new stars on the repos we track, -49% in a year.
  • Hacker News: 7 stories a month, -34% share in a year; Wikipedia 9.6k views a month, -40%.
  • Not investment advice: this measures what people build on GitHub, not any company.
Developers choosing toolswhich tools to adopt
  • Most-starred tools here lately: NandhaKishorM/laya (vouched), Comfy-Org/ComfyUI (vouched).
  • The field is growing, so expect new tools and fast changes; pin versions.

Repos carrying it now

People building it

More in Models and research

Questions

Is PyTorch growing on GitHub?

Yes. Its share of all new public GitHub repos is +133% vs a year ago and +8% over the last three months (Sep 2026). Phase: Growing.

How many new PyTorch repos are created each month?

About 3.0k new public repos a month carry the pytorch tag (three-month average to Sep 2026), or 3.15 of every 10,000 new repos.

What will PyTorch look like in 2032?

Nobody knows, and we say how much. Of past GitHub lines that more than doubled its share of new repos in a year, the middle half had between 0.14x and 1.27x of their share 3 to 5 years later, and 61% ended smaller.

Is PyTorch more talked about than built?

Talk and building in step. Over the year its share of Hacker News stories moved -34% while its share of new GitHub repos moved +133%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 1 times the talk per builder of the median trend.

Not investment advice. Measurements of what people build and star on GitHub, a statistical forecast, base rates and a model's reading of them. Nothing here is about any company's revenue, valuation or stock.