Twitter-text-rb

Ruby library for auto linking and extracting usernames, lists, and hashtags from tweets.

DecliningOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Cooling

License

Open Source

Data freshness

Aging · Jun 8, 2026

Overview

What is Twitter-text-rb?

Twitter-text-rb is a Ruby library that automatically links and extracts usernames, lists, and hashtags from tweet text. It's essential for developers working with Twitter data who need to parse and format tweet content accurately.

Key differentiator

Twitter-text-rb stands out as an official Ruby library from Twitter, ensuring compliance with the platform's standards and providing accurate parsing of tweet text.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Auto linking of usernames, lists, and hashtags in tweet text.medium

Extracts relevant information from tweets for further processing.medium

Compliance with Twitter's content parsing standards.medium

↓ Weaknesses

Limited language supporthigh

Twitter-text-rb is specifically designed for Ruby and does not have official support or libraries for other languages.

Small community and limited contributionsmedium

The project's GitHub repository shows a small number of contributors and infrequent updates, which can lead to slower bug fixes and feature additions.

Potential for outdated compliance with Twitter standardshigh

Twitter frequently updates its content parsing standards. If the library's development is not kept up-to-date, it may fail to comply with new standards or support recent changes in tweet formats.

No official documentation for advanced usagemedium

The project lacks comprehensive documentation that covers all features and use cases, making it difficult for developers to fully leverage the library's capabilities without delving into the source code or community forums.

Fit analysis

Who is it for?

✓ Best for

Ruby developers working with Twitter API who need to parse tweet text accurately.

Projects requiring the extraction of usernames, lists, and hashtags from tweets for analysis or display purposes.

✕ Not a fit for

Developers looking for a full-stack solution beyond just parsing tweet content.

Projects that require real-time processing of large volumes of Twitter data without local computation capabilities.

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with Twitter-text-rb

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →