# haifengl/smile

Statistical Machine Intelligence & Learning Engine

Repository: https://github.com/haifengl/smile
Canonical: https://ross.abutalabs.com/products/smile
Homepage: https://haifengl.github.io
Language: Java
License: NOASSERTION
License Family: other
Topics: machine-learning, regression, clustering, manifold-learning, nlp, visualization, classification, nearest-neighbor-search, interpolation, wavelet, linear-algebra, computer-algebra-system, multidimensional-scaling, deep-learning, statistics, dataframe, data-science, genetic-algorithm, llm, computer-vision
Last push: 2026-08-26T20:21:50+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 4304, "days_push": 7, "days_rel": 15, "gap_med": 19, "n_releases_24m": 26}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6413, forks 1148 (observed 2026-08-28T04:09:43.245749+00:00)

## What it is
SMILE is a comprehensive, high-performance machine learning framework for the JVM with idiomatic APIs for Java, Scala, and Kotlin. It covers classification, regression, clustering, manifold learning, NLP, deep learning, and LLM inference, plus visualization and a data science IDE (SMILE Studio).

## Use cases
- train classifiers like random forest or svm on the jvm
- run llama-3 llm inference in java
- cluster data with k-means or dbscan in scala
- dimensionality reduction with t-sne or umap
- build a data science pipeline in kotlin
- tokenize and tag part-of-speech in text
- visualize machine learning results

## When to choose
- you need a fast, batteries-included ML library on the JVM
- you want Scala or Kotlin idiomatic ML APIs
- you need classical ML, NLP, and deep learning in one dependency

## When to avoid
- you primarily work in Python with scikit-learn or PyTorch ecosystems
- you need cutting-edge research models not implemented in SMILE
- your project is not on the JVM

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, llm-inference, nlp, data-visualization, math, data-science
- domain: machine-learning, deep-learning, large-language-models, data-science, computer-vision
- platform: jvm, cross-platform
- tags: scala, kotlin, classification, clustering, regression, manifold-learning, statistics, dataframe, smile-studio, natural-language-processing

## Member repositories
- haifengl/smile (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:43.245749+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:44:55.748708+00:00, confidence not recorded.
  - readme: https://github.com/haifengl/smile (fetched 2026-08-28T04:09:43.245749+00:00, sha eb1ba39b87ac)
  - homepage: https://haifengl.github.io (fetched 2026-08-29T08:41:42.814874+00:00, sha 36c5cd869886)
- Data as of 2026-08-30T08:39:29.467469+00:00.