aisingapore/TagUI

Free RPA tool by AI Singapore

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Summary Information

Updated 18 minutes ago
Added to GitGenius on September 10th, 2026
Created on December 6th, 2016
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 647
Total Stargazers: 6,327 (+0)
Total Subscribers: 142 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 16.1 hours
Mean response time: 19.2 days
90th percentile: 16.0 days
Tracked items: 56

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 13% of issues opened in the past year have been closed. Three people close 91% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • query (55)
  • bug (1)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

TagUI is a robotic process automation tool that enables users to automate repetitive digital tasks through a simple scripting language.

The tool addresses the need to automate workflows without requiring deep programming expertise. It works by interpreting a natural language-like syntax into executable automation steps that interact with web applications and desktop environments. The approach combines computer vision, optical character recognition, and natural language processing to identify and interact with UI elements, allowing users to write automation scripts that read closer to plain English than traditional code.

TagUI suits teams looking to reduce manual data entry, testing, and routine administrative work without investing in complex RPA platforms. It works well for small to medium automation tasks where the overhead of enterprise solutions would be disproportionate. The tool is particularly valuable for organizations already working with web-based systems and those seeking an open-source alternative to commercial RPA offerings.

Development on the project shows consistent maintenance with regular updates addressing bug fixes and feature improvements. The maintainers respond actively to issues raised by users, indicating engagement with the community's needs. Pull requests receive timely review and integration, suggesting a workflow focused on steady incremental progress rather than sporadic releases.