Everything / Models and research / TensorFlow
TensorFlow Faded
On TutorHero's Everything Index, TensorFlow is faded on GitHub: 0.79 of every 10,000 new public repos over the last three months (732 a month), -6% vs a year ago and 0.80x its level when ChatGPT launched. The 12-month forecast says holding (-2%). By the end of 2032, lines in the same state ended between 0.22x and 3.2x of where they started (median 0.71x).
Since 2019, and the range to 2032
New repos per 10,000 (3-month average, log scale)12-month forecastRange to 2032: middle half and 90% of past similar linesJev's 2032 call
The range is not a forecast of this line: it is what GitHub lines in the same state (held its share within 15% for 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
Wikipedia views a day, last 8 weeks
New public repos with the tensorflow 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
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
- Learn the ideas more than the name: TensorFlow is faded, -76% below its Apr 2019 high.
- Start by reading roboflow/supervision (+1.4k stars in 3 months) and kserve/kserve (+219 stars in 3 months).
- People to follow: PhotoPrism, Google Research, Blake Blackshear.
- Jev for someone who wants to contribute or get hired: Watch (0.7 of 4).
- Both falling: new repos -6%, attention -76% in a year.
- 1.10 new stars per new repo over 3 months, vs 8.50 for the typical trend: more supply than demand right now.
- The 12-month forecast for its share: -2% (Holding).
- Talked about more than built: Wikipedia -38% vs new repos -6% in a year, more talk per builder than the typical trend, so demand for builders may run ahead of supply.
- Jev for a builder: Watch (0.5 of 4).
- History: of past GitHub lines that held its share within 15% for a year, 58% had a smaller share 3 to 5 years later and 10% at least doubled.
- Jev's 2032 call: bottom quarter of similar lines (unsure), which on the base rates means about 0.34x today's share by the end of 2032.
- Attention: 0.16% of new stars on the repos we track, -76% in a year.
- Hacker News: 0 stories a month, -100% share in a year; Wikipedia 7.9k views a month, -38%.
- Jev for an investor: Pass for now (0.4 of 4).
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: roboflow/supervision (vouched), kserve/kserve (organic stars).
- Check that a tool is still maintained before you adopt it: the field is shrinking.
- Jev for a developer picking tools: Watch (0.5 of 4).
Repos carrying it now
People building it
PhotoPrismAI-powered photo and video platform protecting privacy.Influence 28
Google ResearchOpen-source AI models and research code.Influence 85
Blake BlackshearblakeblackshearInfluence 48
DeezerOpen source music technology and research projects.Influence 23
MorvanDeep Learning Research & Development at Tencent Influence 81
Chip HuyenAI x stuffInfluence 85
Google DeepMindPhysics simulation, neural networks, and AI research code.Influence 79
Taehooncarpedm20Influence 69More in Models and research
Questions
Is TensorFlow growing on GitHub?
No, it is shrinking. Its share of all new public GitHub repos is -6% vs a year ago and -8% over the last three months (Sep 2026). Phase: Faded.
How many new TensorFlow repos are created each month?
About 732 new public repos a month carry the tensorflow tag (three-month average to Sep 2026), or 0.79 of every 10,000 new repos.
What will TensorFlow look like in 2032?
Nobody knows, and we say how much. Of past GitHub lines that held its share within 15% for a year, the middle half had between 0.48x and 1.19x of their share 3 to 5 years later, and 58% ended smaller. Jev's call: Bottom quarter of similar lines.
Is TensorFlow more talked about than built?
Talked about more than built. Over the year its share of Wikipedia views moved -38% while its share of new GitHub repos moved -6%. New repos grew faster than talk for most AI trends this year, so the label compares it with the typical trend: 2.4 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.