# jtablesaw/tablesaw

Java dataframe and visualization library

Repository: https://github.com/jtablesaw/tablesaw
Canonical: https://ross.abutalabs.com/products/jtablesaw-tablesaw
Homepage: https://jtablesaw.github.io/tablesaw/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: dataframe, data-frame, java, java-dataframe, visualization, plotting, statistics, chart, machine-learning, statistical-analysis, data-visualization, data-science, data-analysis, high-performance, plotly
Last push: 2026-08-08T05:46:55+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 65, longevity 100
- inputs: {"age_days": 3897, "days_push": 25, "days_rel": 237, "gap_med": 0.0, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3761, forks 647 (observed 2026-08-28T04:08:17.922151+00:00)

## What it is
Tablesaw is a Java dataframe library for loading, cleaning, transforming, filtering, and summarizing tabular data, with descriptive statistics built in. It also provides data visualization via a wrapper around the Plotly JavaScript plotting library.

## Use cases
- work with tabular data in Java like pandas
- load and clean CSV, Excel, JSON, or database data in the JVM
- filter, group, join, and summarize large tables
- create interactive charts and plots from Java data
- prepare datasets for Smile, Tribuo, DL4J, or H2O machine learning
- compute descriptive statistics on columns
- do exploratory data analysis in a JVM application

## When to choose
- you need dataframe-style data manipulation on the JVM
- you want plotting without leaving your Java codebase
- you're preparing data for JVM machine learning libraries
- you need to import from many formats like CSV, Excel, JSON, and RDBMS

## When to avoid
- you're in Python and can use pandas directly
- you need distributed big-data processing like Spark
- you need GPU-accelerated dataframes
- your project is not on the JVM

## Facets
- artifact type: library
- maturity: active
- function: data-science, data-visualization, etl, math, charts, machine-learning
- domain: data-science, data-visualization, analytics
- platform: jvm, cross-platform
- tags: dataframe, plotly, data-wrangling, exploratory-data-analysis, java, data-engineering

## Member repositories
- jtablesaw/tablesaw (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:17.922151+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 2026-08-29T18:28:53.663347+00:00, confidence not recorded.
  - readme: https://github.com/jtablesaw/tablesaw (fetched 2026-08-28T04:08:17.922151+00:00, sha 292c7737e601)
  - homepage: https://jtablesaw.github.io/tablesaw/ (fetched 2026-08-29T09:22:51.703516+00:00, sha 2489c194dc08)
- Data as of 2026-08-30T08:39:29.467469+00:00.