Kotlin/dataframe
Kotlin DataFrame: typesafe in-memory structured data processing for JVM observed · 2026-09-01
Health v2 · maintenance only
90/100
- Activity 100
- Release rhythm 70
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 104.0
- age_days: 2319
- days_rel: 41
- days_push: 2
- n_releases_24m: 7
Adoption not part of the score
1064 stars · 83 forks observed · 2026-09-01
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Kotlin DataFrame is a typesafe in-memory structured data processing library for the JVM, reconciling Kotlin's static typing with dynamic data. It supports hierarchical data, immutable transformation pipelines, and integrates with Kotlin Notebook and REPL environments.
Use cases
- process csv and data in kotlin
- analyze tabular data in jupyter notebooks
- filter and transform dataframes with type safety
- convert between data classes and dataframes
- clean and reshape structured data on the jvm
When to choose
- you work in Kotlin and want pandas-like dataframe operations
- you need type-safe column access and null safety
- you do data analysis in Kotlin Notebook or REPL
When to avoid
- you need distributed big-data processing beyond memory
- your stack is Python and pandas suffices
Facets
library · maturity active
data-science etl csv data-science analytics jvm dataframe data-analysis jupyter typesafe kotlin data-engineering
2 sources
- readme: https://github.com/Kotlin/dataframe · fetched 2026-09-01 · addc8813c1d2
- homepage: https://kotlin.github.io/dataframe/home.html · fetched 2026-08-29 · 7f23ed1b92fe
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Kotlin/dataframe | main | 90 |
For agents
markdown · JSON · MCP: product_card(name="Kotlin/dataframe")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem