go-csv-tag VS checksum

Compare go-csv-tag vs checksum and see what are their differences.

go-csv-tag

Read csv file from go using tags (by artonge)

checksum

Compute message digest for large files in Go (by codingsince1985)
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go-csv-tag checksum
- -
115 98
- -
4.8 0.0
4 months ago 5 months ago
Go Go
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

go-csv-tag

Posts with mentions or reviews of go-csv-tag. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning go-csv-tag yet.
Tracking mentions began in Dec 2020.

checksum

Posts with mentions or reviews of checksum. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning checksum yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing go-csv-tag and checksum you can also consider the following projects:

tarfs - An implementation of the FileSystem interface for tar files.

concurrent-writer - Highly concurrent drop-in replacement for bufio.Writer

go-gtfs - Load GTFS files in golang

parquet - A library for reading and writing parquet files.

go_MD5 - MD5 generator written in go.

vfs - Pluggable, extensible virtual file system for Go

DXF-go - DXF Library for Golang

shred - This is a libary to mimic the functionallity of the linux shred command.

skywalker - A package to allow one to concurrently go through a filesystem with ease

go-exiftool - Golang wrapper for Exiftool : extract as much metadata as possible (EXIF, ...) from files (pictures, pdf, office documents, ...)