
DataFrames
DataFrames.jl provides in-memory tabular data structures and tools for working with data in Julia.

About DataFrames
DataFrames.jl is a repository containing the DataFrames.jl package for Julia. It provides in-memory tabular data structures and tools for working with tabular data in Julia. The package is installed from the Julia REPL using the Julia package manager, and its documentation is hosted at dataframes.juliadata.org.
The project is maintained collectively by JuliaData collaborators. The README states that responsiveness to pull requests and issues can vary depending on the availability of key collaborators. Contributors are asked to follow the CONTRIBUTING.md guidelines, and users who use the package in research are encouraged to cite it, with citation details in the repository's CITATION.bib file.
Key features
- In-memory tabular data structures for Julia
- Tools for working with tabular data in Julia
- Installation through Julia's Pkg package manager
- Online documentation at dataframes.juliadata.org
- Citation information provided in a CITATION.bib file
- Installation is a single command in the Julia REPL
- Learning resources include a free Julia Academy course and a tutorial by Bogumił Kamiński
- Maintained collectively by JuliaData collaborators
- Responsiveness to pull requests and issues can vary depending on collaborator availability
- Works only within the Julia language ecosystem
DataFrames at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
DataFrames alternatives
Tools and sites you could use instead, ranked by how closely they match.
clugenr implements an algorithm for generating multidimensional clusters in R.
Tablecloth provides a dataset manipulation API for the tech.ml.dataset library.
Polars provides a Rust query engine for DataFrames, with a Python interface for data work.
DataDeps.jl provides reproducible data setup for scientific work, with a Julia package for fetching and using data dependencies.
Million builds open-source developer tools, datasets, and reinforcement learning environments for web and coding agents.
Vaex provides out-of-core DataFrames for Python to explore and visualize large tabular datasets, with support for machine learning workflows.
Popular in Developer Tools
Well-known listings from the same topic.
DataFrames FAQ
How is DataFrames.jl installed?
Where can a new user learn to use DataFrames.jl?
How should the package be cited?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












