Gigantor VS Open.Text

Compare Gigantor vs Open.Text and see what are their differences.

Gigantor

Works in conjunction with System.Text.RegularExpressions.Regex to boost performance, add a replace function, and support gigantic files that exceed RAM (by imagibee)

Open.Text

A set of useful extensions for working with strings, string-segments, spans, enums, and value formatting. (by Open-NET-Libraries)
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Gigantor Open.Text
- 3
21 12
- -
6.7 7.0
over 1 year ago 2 months ago
C# C#
MIT License 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.

Gigantor

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

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

Open.Text

Posts with mentions or reviews of Open.Text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-18.

What are some alternatives?

When comparing Gigantor and Open.Text you can also consider the following projects:

StreamRegex - A .NET Standard 2.1+ Library to perform string parsing operations on Streams and StreamReaders. Includes Extensions for Regex.

FastEnum - The world fastest enum utilities for C#/.NET

RegExtract - Clean & simple idiomatic C# RegEx-based line parser that emits strongly typed results.

nodexr - Graphical regular expression editor

batchrenameapp - Windows application for renaming multiple files at once using regexp

App.Metrics - App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.

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