Tech riderRev. 21 Sept 2026
  1. 1Runs onself-hosted, Web
  2. 2CostsNot stated by the maker
  3. 3Reviewer anonymityone way
  4. 4Review allocationautomatic
  5. 5Rubric scoringYes
  6. 6Moderation toolsYes
  7. 7LMS integrationYes
  8. 8Gradebook syncYes
7 lines stated Written from the maker's own pages: github.com
The ComPAIR homepage

Overview

ComPAIR is a self-hosted web application for peer review in which students compare pairs of work and give feedback with both answers in view. Instructors can enable adaptive scores based on comparison outcomes and use them to assemble later pairs. The application has student, instructor, and system administrator roles with distinct permissions, plus rubric scoring and moderation tools. It supports LTI login, course membership, and grade updates; administrators configure LTI consumers with a key and secret. Documented authentication options also include username and password, CAS, and SAML 2.0. Learning analytics can be sent to a Learning Record Store through xAPI or Caliper, though both are disabled by default. The default attachment limit is 250 MB, with PDF, audio, video, and image extensions allowed. Administrators can manage whether instructors see student email addresses and CAS/SAML usernames; those fields are disabled by default. ComPAIR is open source under GPL-3.0 and freely available to download, install, and use. Its README documents deployment with Docker Compose, with access at localhost:8080. The tool is described as suitable for higher education and K-12 communities.

Who it is for

ComPAIR suits higher education and K-12 communities that want students to review paired work. Its separate student, instructor, and system administrator roles support distinct permissions.

What is good

  • Students compare paired work and give feedback on both answers.
  • Adaptive scores can shape subsequent pairs.
  • Supports LTI login, course membership, and grade updates.
  • Rubric scoring and moderation tools are included.
  • Free to download, install, and use under GPL-3.0.

What to know first

  • Self-hosted deployment is documented with Docker Compose.
  • Analytics through xAPI and Caliper are disabled by default.
  • Default attachment limit is 250 MB.
  • Kaltura integration supports only version 3 of its API.

Verdict

ComPAIR specifies a peer-review workflow built around comparisons, with adaptive scoring, rubric scoring, and moderation. Its LTI support and configurable roles are useful details for education deployments, while analytics integrations require enabling.

Compared on rubric software

Free plan
Yesgithub.com
Reviewer anonymity
one_waygithub.com
Review allocation
automaticgithub.com
Rubric scoring
Yesgithub.com
Moderation tools
Yesgithub.com
LMS integration
Yesgithub.com
Gradebook sync
Yesgithub.com

Facts

Purpose
ComPAIR pairs student answers for peer review, comparison, and feedback.github.com · 29 Sept 2026
Adaptive scoring
Instructors can enable scores that adapt to how an answer performs in comparisons and use them to generate subsequent pairs.github.com · 29 Sept 2026
Peer feedback
Students can refer to both answers in a pair when writing feedback, which the site says can support richer feedback and deeper critical thinking.compair.open.ubc.ca · 29 Sept 2026
Intended users
The tool is described as suitable for higher education and K-12 communities.compair.open.ubc.ca · 29 Sept 2026
Roles
ComPAIR provides student, instructor, and system administrator roles with different permissions.ubc.github.io · 29 Sept 2026
Integrations
The application supports LTI login and course membership and grade updates for LTI consumers.github.com · 29 Sept 2026
Learning analytics
ComPAIR can send learning analytics using xAPI or Caliper to a Learning Record Store; both are disabled by default.github.com · 29 Sept 2026
Authentication
The README documents username and password, CAS, SAML 2.0, and LTI authentication options.github.com · 29 Sept 2026
Attachments
The default attachment upload limit is 250 MB, with PDF, audio, video, and image extensions listed as allowed by default.github.com · 29 Sept 2026
Media integration
Kaltura uploads can be enabled as an optional media attachment integration, and the README says only version 3 of the Kaltura API is supported.github.com · 29 Sept 2026
Privacy settings
Administrators can control whether instructors can access student email addresses and CAS/SAML usernames; those fields are disabled by default.github.com · 29 Sept 2026
Transport security setting
The README says SSL enforcement for requests through LTI and CAS is enabled by default and should only be disabled for development or staging.github.com · 29 Sept 2026
License and availability
The project is open source under GPL-3.0 and described as freely available to download, install, and use.github.com · 29 Sept 2026
Support
The ComPAIR site says its support site has moved to compair.open.ubc.ca.ubc.github.io · 29 Sept 2026
Comparison-based review
Instead of evaluating one work at a time, students compare paired sets of peer work.github.com · 30 Sept 2026
Availability
The project says it is freely available for anyone to download, install, and use.github.com · 30 Sept 2026
License
The repository is licensed under GPL-3.0.github.com · 30 Sept 2026
Deployment
The README documents running ComPAIR with Docker Compose and accessing it at localhost:8080.github.com · 30 Sept 2026
LTI setup
LTI consumers are configured by a system administrator using a consumer key and secret.github.com · 30 Sept 2026
Email notifications
Application-wide email notifications are disabled by default, and users can disable notifications for themselves when they are enabled.github.com · 30 Sept 2026
Student data controls
Settings control whether instructors can see student email addresses and third-party usernames, and whether students can edit profile fields such as their name and email.github.com · 30 Sept 2026
Technology
The README describes a JavaScript frontend using AngularJS and Bootstrap, with a Python Flask backend and Flask SQLAlchemy for database persistence.github.com · 30 Sept 2026

Company

Founded
2002github.com · 28 Sept 2026

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