Everything / Models and research / LoRA
LoRA Growing
On TutorHero's Everything Index, LoRA is growing on GitHub: 0.54 of every 10,000 new public repos over the last three months (514 a month), +233% vs a year ago. The 12-month forecast says rising (+46%). By the end of 2032, lines in the same state ended between 0.01x and 2.5x of where they started (median 0.54x).
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 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
New public repos with the lora 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.
What it means
- Worth learning now: LoRA is growing, +233% share of new GitHub repos vs a year ago.
- Start by reading MakazhanAlpamys/Soup (+3.5k stars in 3 months) and lyogavin/airllm (+2.0k stars in 3 months).
- People to follow: Datawhale, ModelScope, OpenPipe.
- Getting crowded: new repos +233% but attention -52%, so each new project competes harder for stars.
- 6.90 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: +46% (Rising).
- 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: 0.61% of new stars on the repos we track, -52% in a year.
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: MakazhanAlpamys/Soup (vouched), lyogavin/airllm (vouched).
- The field is growing, so expect new tools and fast changes; pin versions.
Repos carrying it now
People building it
DatawhaleOpen-source learning tutorials for AI and machine learning.Influence 87
ModelScopeModel-as-a-Service platform for accessible AI.Influence 70
OpenPipeFine-tuning and training AI agents via reinforcement learning.Influence 26
Alpamys MakazhanBuilding startup Soup, fine-tuning LLMs from YAML.Influence 66
秋葉杏Creates training and webui tools for AI models.Influence 57
NunchuxBuilding the frontier of multimodal inference for image, video, and world models.Influence 12
Yaowei ZhengEfficient fine-tuning frameworks for large language models.Influence 80
Alexey Fateevalesha-proInfluence 28More in Models and research
Questions
Is LoRA growing on GitHub?
Yes. Its share of all new public GitHub repos is +233% vs a year ago and +15% over the last three months (Sep 2026). Phase: Growing.
How many new LoRA repos are created each month?
About 514 new public repos a month carry the lora tag (three-month average to Sep 2026), or 0.54 of every 10,000 new repos.
What will LoRA 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.
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.