AnZar is a desktop application that grades Canvas quiz and assignment submissions with a language model. It connects to a Canvas instance with an API token the user supplies, downloads the submissions, sends the answer text to any OpenAI-compatible LLM endpoint the user configures, and returns points and feedback. Every grade is presented on a review page first: nothing is written back to Canvas until the user approves it there.
The released build is on PyPI as anzar-assessment: pip install
anzar-assessment then anzar, on 64-bit Python 3.10–3.13. The wheels
carry the modules compiled to native code and are uploaded straight
from the release workflow by PyPI trusted publishing (no API token in
play); the same files stay as GitHub release assets for the record.
docs/pip-packaging.md covers building them, the release flow, and
where each mode keeps its config, logs and data.
From a checkout, install the pinned dependencies (pip install -r
requirements.txt) and run python -m anzar from inside the src/
directory (the direct-file form python src/anzar/app.py fails on a
clean checkout with ModuleNotFoundError: No module named 'anzar',
because the package's own name is not on the module search path then;
--gui is still accepted by both entry points). Connection settings
(Canvas URL and token, LLM endpoint and key) are managed on the Profiles
page and stored in profiles.json in the config directory;
profiles.json.example is the template to start from. See SECURITY.md
for the exact data flow and how credentials are handled, and docs/ for
the architecture notes.
1 maintainer
Metadata
1 maintainer
Release files for anzar-assessment 2.6.2
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Built distributions (wheels)
| File | Actions Reset | |||
|---|---|---|---|---|
| anzar_assessment-2.6.2-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details for anzar_assessment-2.6.2-cp313-cp313-win_amd64.whl |
| anzar_assessment-2.6.2-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details for anzar_assessment-2.6.2-cp312-cp312-win_amd64.whl |
| anzar_assessment-2.6.2-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details for anzar_assessment-2.6.2-cp311-cp311-win_amd64.whl |
| anzar_assessment-2.6.2-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details for anzar_assessment-2.6.2-cp310-cp310-win_amd64.whl |
Total release size: 61.8 MB
Release files / anzar_assessment-2.6.2-cp313-cp313-win_amd64.whl
| Download URL | anzar_assessment-2.6.2-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 15.4 MB |
| Tags | CPython 3.13 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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| Download URL | anzar_assessment-2.6.2-cp312-cp312-win_amd64.whl |
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| Size | 15.4 MB |
| Tags | CPython 3.12 Windows x86-64 |
|
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twine/7.0.0 CPython/3.13.16
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| Download URL | anzar_assessment-2.6.2-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 15.5 MB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.16
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| Download URL | anzar_assessment-2.6.2-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 15.5 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
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