Feedbacker

At a glance

• Editor score
  6.9 / 10
• Pricing
  Open source
• Best for
  Institutions prioritizing controlled AI governance
• Paid from
  Free
• Facts checked
  21 Sep 2026

• Where it wins

  • Rubric-led workflows support structured assessment and feedback.
  • Moderation, calibration, and auditability support institutional quality assurance.
  • Open-source design enables control over models, prompts, data, and deployment.

• Where it doesn't

  • The previous feedback-generation application has been retired.
  • The replacement remains in its definition and architecture phase.
  • Educator approval is required before marks and feedback are finalized.

Our verdict on Feedbacker

Feedbacker is an open-source assessment infrastructure project for higher education, aimed at institutions developing governed uses of AI in marking and feedback. Its focus is not a finished feedback-generation application: that previous application has been retired, while the replacement is being redefined and rebuilt. The intended audience is therefore institutions that value policy, oversight, and institutional control while shaping how AI fits into assessment workflows.

Its strongest angle is governance depth. Feedbacker is designed around rubric-led assessment, with moderation and calibration support to help institutions align decisions across educators. The project also emphasizes traceable assessment inputs, decisions, and outputs, alongside auditability and institutional quality assurance. Privacy and responsible-AI controls are part of the stated direction, as are educator review and approval of marks and feedback. Together, these priorities make Feedbacker more relevant to controlled academic assessment than to teams seeking an immediately available automated grading tool.

The main consideration is product maturity. The successor is still in its definition and architecture phase, so institutions should view Feedbacker as an evolving foundation rather than a ready-to-deploy application. Its open-source model and planned institutional control over models, prompts, data, and deployment will appeal to organizations that want to shape their own assessment infrastructure. Institutions needing an operational product today, broad platform coverage, or established integrations should choose an alternative instead. Feedbacker is the better fit for higher-education teams prepared to prioritize governance, provenance, privacy, and educator approval while the project develops.

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Feedbacker pricing

Feedbacker fact sheet

Alternatives to Feedbacker

• iRubricA flexible rubric platform for moderated, multi-rater assessment and LMS-connected grading.9.3
• UUniRubricAuditable AI grading with rubric evidence, review controls, and LMS grade return.9.2
• AssessIQA broad AI assessment engine with rubric scoring, feedback, analytics, and LMS grade passback.9.1

See all Feedbacker alternatives →

Featured on iTechGuides

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update