JuliaData/DataFrames.jl

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1831 stars · 371 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DataFrames.jl is the core Julia package for working with in-memory tabular data, providing a DataFrame type similar to pandas in Python or data.frame/dplyr in R. It offers flexible and fast data wrangling, transformation, and manipulation capabilities and is central to the Julia data ecosystem.

Use cases

• manipulate tabular data in Julia
• julia alternative to pandas dataframes
• filter group and join tables in julia
• data wrangling for data science in julia
• load and transform csv-like datasets in julia
• clean and reshape tabular datasets

When to choose

• you are doing data science or analysis in Julia and need a general-purpose dataframe library
• you want pandas-like or dplyr-like data manipulation with Julia performance
• you need tight integration with the Julia data ecosystem (Tables.jl, CSV.jl, DataFramesMeta.jl)

When to avoid

• you work primarily in Python or R where pandas or dplyr are more mature ecosystems
• you need out-of-core or distributed processing beyond in-memory tables
• you only need simple columnar storage without rich manipulation APIs

Facets

library · maturity stable

data-science developer-tools data-science analytics cross-platform dataframes tabular-data data-wrangling pandas-alternative julia-ecosystem data-engineering julia

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