Everything / RAG and memory / LlamaIndex
LlamaIndex Steady
On TutorHero's Everything Index, LlamaIndex is steady on GitHub: 0.08 of every 10,000 new public repos over the last three months (76 a month), +161% vs a year ago. The 12-month forecast says rising (+35%). 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 llamaindex 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
- A steady field: LlamaIndex moved +161% in a year, so skills here keep their value without a rush.
- Start by reading huggingface/agents-course (+1.1k stars in 3 months) and DocAILab/XRAG (+502 stars in 3 months).
- People to follow: LlamaIndex, Hugging Face.
- Getting crowded: new repos +161% but attention -49%, so each new project competes harder for stars.
- 12.8 new stars per new repo over 3 months, vs 8.50 for the typical trend: more demand per project than most fields.
- The 12-month forecast for its share: +35% (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: 0.15% of new stars on the repos we track, -49% in a year.
- Hacker News: 0 stories a month, n/a share in a year.
- Not investment advice: this measures what people build on GitHub, not any company.
- Most-starred tools here lately: huggingface/agents-course (vouched), DocAILab/XRAG.
- A settled field: favour tools with a long record.
Repos carrying it now
People building it
LlamaIndexDocument processing platform for AI applications.Influence 78
Hugging FaceBuilding open-source AI models and tools for the community.Influence 69More in RAG and memory
Questions
Is LlamaIndex growing on GitHub?
Yes. Its share of all new public GitHub repos is +161% vs a year ago and -8% over the last three months (Sep 2026). Phase: Steady.
How many new LlamaIndex repos are created each month?
About 76 new public repos a month carry the llamaindex tag (three-month average to Sep 2026), or 0.08 of every 10,000 new repos.
What will LlamaIndex 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.