jtablesaw/tablesaw

Health v2 · maintenance only

Adoption not part of the score

3761 stars · 647 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

library · maturity active

data-science data-visualization etl math charts machine-learning data-science data-visualization analytics jvm cross-platform dataframe plotly data-wrangling exploratory-data-analysis java data-engineering

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jtablesaw/tablesaw")