What are the key differences between Trello and GitHub Issues?

Compare Trello and GitHub Issues side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Trello and GitHub Issues scored?

Trello has an AI score of 7.64/10 and GitHub Issues has an AI score of 8.11/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Trello vs GitHub Issues 2026 - Compared

Trello

GitHub Issues

WINNER GitHub Issues

GitHub Issues edges ahead with a score of 8.1/10 compared to 7.6/10 for Trello. While both are highly rated in their res...

Trello

7.64 Good

Bug Tracking Get Trello open_in_new

emoji_events WINNER

GitHub Issues

8.11 Great

Bug Tracking Get GitHub Issues open_in_new

Trello From $9.99/mo for Business Class Free plan available

payments

GitHub Issues From $5/mo per user Free plan available

psychology AI Verdict

GitHub Issues edges ahead with a score of 8.1/10 compared to 7.6/10 for Trello. While both are highly rated in their respective fields, GitHub Issues demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: GitHub Issues

verified Confidence: Low

Ready to decide? Get GitHub Issues arrow_forward

description Overview

Trello

Trello, an Atlassian product, is the quintessential simple, visual Kanban board tool that can be adapted for lightweight bug tracking. Its model of boards, lists, and cards is instantly understandable. Each bug is a card that can be moved through lists like 'Backlog', 'In Progress', 'Testing', and 'Done'. Cards can have members, labels, checklists, due dates, and attachments. For basic tracking, e...

GitHub Issues

Within GitHub, Issues keeps bug reports and development discussions near the repositories they concern. An issue can contain reproduction steps, screenshots, and a conversation about the fix, with labels and assignees helping organize responsibility. Links to branches, commits, and pull requests preserve code context. Supported closing keywords can automatically resolve an issue when the relevant...