CSV.jl
CSV.jl reads and writes comma-separated and other delimited text data in Julia.
It implements the Tables.jl interface.
Installation
Install the registered release from the Julia REPL:
] add CSV
CSV.jl 1.0 requires Julia 1.10 or later. See the
0.10 to 1.0 migration guide before you update an
existing application.
Quick start
using CSV
file = CSV.File("input.csv")
CSV.write("output.csv", file)
Use CSV.read("input.csv", DataFrame) after you load DataFrames.jl. Use
CSV.Rows to process one row at a time, CSV.Chunks to process batches, or
CSV.lazy to index a source before you choose which cells to parse. With
DataDecimals.jl loaded, types=Dict(:amount => DataDecimals.Decimal64{2})
reads a column as exact decimals; CSV.jl does not infer decimal types.
Documentation
Support
Use GitHub Issues for bug reports,
feature requests, and questions.
Generative-AI contribution disclosure
The CSV.jl 1.0 internal rewrite contains substantial generative-AI
contributions. Claude drove the initial rewrite. Codex performed review,
fixes, documentation, and validation. Human maintainers must hand-review these
changes and own the final approval.
Alternatives
- DelimitedFiles
is a Julia standard library for simple, homogeneous delimited matrices.
- CSVFiles.jl provides FileIO.jl
load and save integration.
- DLMReader.jl reads delimited
data and integrates with InMemoryDatasets.jl.
