Paperless Open Marking - Plom

  • Plom is a system for large-scale marking by humans of handwritten work.
  • Designed for giving consistent, meaningful feedback to students.
  • Free/Open Source Software written in Python using Qt and other components.
The plom annotation client in action

Plom's benefits

  • Respects privacy of student data -- all data stays on your server, and markers do not see student name or ID when working.
  • Easy multi-versioned tests -- designed to handle crowded classrooms and multi-section courses over multiple days.
  • Simplify logistics and minimizes paper-handling.
  • Free -- Plom is Libre and Gratis. No software to buy, and no subscriptions to pay.

Want to know more?

Take a look at the plomgrading.org.

Translations

If you'd like to help translate Plom into another language, please help at https://gitlab.com/plom/plom/-/issues/1725

Getting in touch

Project links

Data verified by PyPI on Oct 8, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

Owner

PyPI data
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3 maintainers

PyPI data
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Credits

Author: Andrew Rechnitzer, Colin B. Macdonald

GitLab Statistics

Data verified by PyPI on Oct 8, 2026
The GitLab source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

AGPL-3.0-or-later
View SPDX License List

Requires

Python >=3.11

Classifiers

Report project as malware

Metadata

Project links

Data verified by PyPI on Oct 8, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

Owner

PyPI data
Data sourced directly from PyPI's database.

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for amurph from gravatar.com amurph Avatar for arechnitzer from gravatar.com arechnitzer Avatar for cbm from gravatar.com cbm

Credits

Author: Andrew Rechnitzer, Colin B. Macdonald

GitLab Statistics

Data verified by PyPI on Oct 8, 2026
The GitLab source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

AGPL-3.0-or-later
View SPDX License List

Requires

Python >=3.11

Classifiers

Report project as malware

Release files for plom 0.22.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for plom 0.22.3
File Size Uploaded
plom-0.22.3.tar.gz 1.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for plom 0.22.3
File Interpreter ABI Platform
plom-0.22.3-py3-none-any.whl 1.9 MB Python 3 none any Details

Total release size: 3.4 MB

Release files / plom-0.22.3.tar.gz

Download URL plom-0.22.3.tar.gz
Size 1.5 MB
Tags Source
SHA-256 checksum
How to use checksums 		62a833b4d1ea92b75bef92ff6c4b8c3ac9d8086892e0a0655f367ece0f175729
BLAKE2b-256 checksum
How to use checksums 		9e1b59ce9622fcb36767d5ff85706d17d4810600a1d8808c82bb7b29340392a9
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What is trusted publishing? 		Yes
Uploaded via twine/7.0.0 CPython/3.14.8

Release files / plom-0.22.3-py3-none-any.whl

Download URL plom-0.22.3-py3-none-any.whl
Size 1.9 MB
Tags Python 3
SHA-256 checksum
How to use checksums 		68934d4bfe9aa7fbb2d9cb6fbad746437b190e0c671ef5d143ac55fb9971240e
BLAKE2b-256 checksum
How to use checksums 		fc66ee1fde3ca9befc90f4ebe298e54eec5b8c38c0069e532db1f2ab941431bf
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Uploaded using Trusted Publishing?
What is trusted publishing? 		Yes
Uploaded via twine/7.0.0 CPython/3.14.8

Release history Release notifications | RSS feed

This release

0.22.3 This release

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