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What is livegrep?

Livegrep is a powerful tool that draws inspiration from Google Code Search, enabling users to conduct interactive regex searches across large source code repositories that may reach several gigabytes. To get started with livegrep, both the codesearch backend—responsible for indexing and searching—and the livegrep web interface must be initiated. Once you have built both components, you can launch the sample web interface to explore livegrep’s capabilities. The codesearch binary is essential as it reads the source code, keeps an index, and handles search requests effectively. Importantly, livegrep functions without maintaining state and relies entirely on its TCP connection to the codesearch backend. By default, codesearch creates an in-memory index for the repositories specified in its configuration, but it can also save the index to a file for persistent storage. This capability is particularly useful for managing indexes that surpass the available RAM and permits the reuse of index files in future sessions. As a result, this enhances both operational efficiency and resource management, especially when navigating large codebases. Furthermore, the combination of these features allows developers to streamline their search processes and improve productivity in their coding endeavors.

What is Hound?

Hound is an exceptionally fast tool for searching through source code. It is built on the principles outlined in an article and the corresponding code created by Russ Cox, which focuses on using a trigram index for regular expression matching. The application comprises a static frontend developed in React that interacts with a Go backend, which is tasked with keeping the index updated for all repositories and executing searches through an efficient API. While Hound has mostly undergone testing on MacOS and CentOS, it is intended to work seamlessly on any Unix-like operating system. Although it does not officially support Windows, there are user reports suggesting that it compiles and operates well on that platform; for optimal performance, it is recommended to keep your data folder outside of the Windows Search Indexer. Users have shown great enthusiasm for its features, and the development team is actively working to improve its compatibility across more operating systems. This ongoing enhancement process is aimed at expanding Hound's usability and ensuring a smoother experience for a wider range of users.

Media

Media

Integrations Supported

Emacs
Sublime Text
Vim
Visual Studio Code

Integrations Supported

Emacs
Sublime Text
Vim
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

livegrep

Company Website

livegrep.com/about

Company Facts

Organization Name

Etsy

Company Website

github.com/hound-search/hound

Categories and Features

Categories and Features

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