# JuliaData/DataFrames.jl

In-memory tabular data in Julia

Repository: https://github.com/JuliaData/DataFrames.jl
Canonical: https://ross.abutalabs.com/products/dataframesjl
Homepage: https://dataframes.juliadata.org/stable/
Language: Julia
License: NOASSERTION
License Family: other
Topics: julia, data-frame, datasets, data, tabular-data, hacktoberfest, dataframes
Last push: 2026-08-23T06:08:21+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 55, longevity 100
- inputs: {"age_days": 5166, "days_push": 10, "days_rel": 143, "gap_med": 106.0, "n_releases_24m": 5}
- 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 1831, forks 371 (observed 2026-08-28T04:05:41.870003+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: data-science, developer-tools
- domain: data-science, analytics
- platform: cross-platform
- tags: dataframes, tabular-data, data-wrangling, pandas-alternative, julia-ecosystem, data-engineering, julia

## Member repositories
- JuliaData/DataFrames.jl (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.870003+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 2026-08-30T03:19:10.833648+00:00, confidence not recorded.
  - readme: https://github.com/JuliaData/DataFrames.jl (fetched 2026-08-28T04:05:41.870003+00:00, sha 868f1d9262f1)
  - homepage: https://dataframes.juliadata.org/stable/ (fetched 2026-08-29T10:57:58.056047+00:00, sha da83cd43b37f)
  - site_page: https://dataframes.juliadata.org/stable/man/getting_started (fetched 2026-08-29T10:57:58.059122+00:00, sha 31b38d04f676)
- Data as of 2026-08-30T08:39:29.467469+00:00.