mkdocs-dataview-plugin
Plugin for mkdocs that allows to build markdown tables on metadata
Overview
mkdocs-dataview-plugin is a plugin that makes it easier to build markdown tables on data based on other files metadata during the build step. Typical usecase are: registries, summary pages, section for replated pages based on similar tag.
---
title: How to do a heapsort
group_tag: group-sorting-algorithms
tags:
- group-sorting-algorithms
---
Related algorithms:
```dataview
file.link
WHERE this.file.metadata.group_tag in tags and this.file.title != title
```
Installation
There are two usage options:
- as mkdocs plugin
- as a separate tool for gerenating .md files from templates
Mkdocs plugin
Just add dataview to plugin list in mkdocs.yml, no other configuration is required.
plugins:
- dataview
As a separate tool
In case you can't use plugin option, write markdowns files with dataview
Development
Prepare environment
python -m venv .venv
source .venv/bin/activate
pip install .
```
Do some changes in the code and run tests:
```bash
pytest
```
You should also check that examples folder is working just by running:
```bash
mkdocs serve
```
Metadata
Release files for mkdocs-dataview 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mkdocs_dataview-0.0.4.tar.gz | 27.0 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mkdocs_dataview-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.0 kB
Release files / mkdocs_dataview-0.0.4.tar.gz
| Download URL | mkdocs_dataview-0.0.4.tar.gz |
|---|---|
| Size | 27.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
79853fdee7782f320a00cbb94b2774f80a99565b36bbf1cff8d70639925d04b5
|
|
BLAKE2b-256 checksum How to use checksums |
309fecbb1bc1005e9f7bdfa3682a3b3c084d104e3433fd2c75805eabc5d681ce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Feb 23, 2026.
Transparency logRelease files / mkdocs_dataview-0.0.4-py3-none-any.whl
| Download URL | mkdocs_dataview-0.0.4-py3-none-any.whl |
|---|---|
| Size | 15.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9ec26ef9b329139f2c6302f046a7cf6929e0baf7c83aaa0ac1d56c07274e6880
|
|
BLAKE2b-256 checksum How to use checksums |
54fdbaa4dd2fc24a54d90173df66d2e949ca38964b32885a211e09ac8be1113a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 23, 2026.
Transparency logSecurity for mkdocs-dataview 0.0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for mkdocs_dataview-0.0.4.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Feb 23, 2026.
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