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AI Grader Pro vs Feedbacker

Both stand on rubric software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

AI Grader Pro

Free trial MacWindows

Choose AI Grader Pro if you grade mathematics or other STEM responses and want rubric-driven, step-wise workflows with batch processing. Look elsewhere if you need a free plan or do not want responsibility for checking AI-generated grading and feedback.

Visit AI Grader Pro

Feedbacker

Paid LinuxMacWeb+1

Consider Feedbacker if you are following an open-source higher education project centered on educator oversight, traceability, and institutional control around AI assessment. Educators looking for the former formative feedback application should note that it has been retired while the project is rebuilt.

Visit Feedbacker

The facts

AI Grader ProFeedbacker
Free planA free trialNot published
Open sourceNot publishedNot published
Runs onMac, WindowsLinux, Mac, Web, Windows
Lowest paid planPersonal (Annual): $120 a yearNot published
Plans published2None
MakerNot publishedNot published
Websiteaigraderpro.comfeedbacker.education
On rubric software#13 of 22#17 of 22

AI Grader Pro: what it does well

  • Rubrics support structured and consistent scoring
  • Partial credit and solution-step review
  • Batch processing for question sheets and answers
  • Exports reports, summaries, and class-level outputs
  • Local-first approach minimizes data leaving the environment

What to know first

  • No free plan
  • Paid annual plans start at $120 a year
  • AI outputs may contain errors and require review
  • Full LaTeX output needs a LaTeX distribution

Feedbacker: what it does well

  • Open-source project by Steve Huckle.
  • Keeps educators responsible for marks and released feedback.
  • Aims to trace assessment inputs, criteria, suggestions, edits, and approvals.
  • Rubric-led cohort workflows are intended to support moderation and calibration.
  • Institutional governance is intended to cover models, prompts, data, retention, and deployment.

What to know first

  • The previous application has been retired.
  • The project is being redefined and rebuilt in the open.

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