id,node_id,name,full_name,private,owner,html_url,description,fork,created_at,updated_at,pushed_at,homepage,size,stargazers_count,watchers_count,language,has_issues,has_projects,has_downloads,has_wiki,has_pages,forks_count,archived,disabled,open_issues_count,license,topics,forks,open_issues,watchers,default_branch,permissions,temp_clone_token,organization,network_count,subscribers_count,readme,readme_html,allow_forking,visibility,is_template,template_repository,web_commit_signoff_required,has_discussions
242260583,MDEwOlJlcG9zaXRvcnkyNDIyNjA1ODM=,datasette-mask-columns,simonw/datasette-mask-columns,0,9599,https://github.com/simonw/datasette-mask-columns,Datasette plugin that masks specified database columns,0,2020-02-22T01:29:16Z,2021-06-10T19:50:37Z,2021-06-10T19:51:02Z,https://datasette.io/plugins/datasette-mask-columns,15,2,2,Python,1,1,1,1,0,0,0,0,0,apache-2.0,"[""datasette"", ""datasette-plugin"", ""datasette-io""]",0,0,2,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-mask-columns
[](https://pypi.org/project/datasette-mask-columns/)
[](https://github.com/simonw/datasette-mask-columns/releases)
[](https://github.com/simonw/datasette-mask-columns/actions?query=workflow%3ATest)
[](https://github.com/simonw/datasette-mask-columns/blob/main/LICENSE)
Datasette plugin that masks specified database columns
## Installation
pip install datasette-mask-columns
This depends on plugin hook changes in a not-yet released branch of Datasette. See [issue #678](https://github.com/simonw/datasette/issues/678) for details.
## Usage
In your `metadata.json` file add a section like this describing the database and table in which you wish to mask columns:
```json
{
""databases"": {
""my-database"": {
""plugins"": {
""datasette-mask-columns"": {
""users"": [""password""]
}
}
}
}
}
```
All SQL queries against the `users` table in `my-database.db` will now return `null` for the `password` column, no matter what value that column actually holds.
The table page for `users` will display the text `REDACTED` in the masked column. This visual hint will only be available on the table page; it will not display his text for arbitrary queries against the table.
","
datasette-mask-columns
Datasette plugin that masks specified database columns
Installation
pip install datasette-mask-columns
This depends on plugin hook changes in a not-yet released branch of Datasette. See issue #678 for details.
Usage
In your metadata.json file add a section like this describing the database and table in which you wish to mask columns:
All SQL queries against the users table in my-database.db will now return null for the password column, no matter what value that column actually holds.
The table page for users will display the text REDACTED in the masked column. This visual hint will only be available on the table page; it will not display his text for arbitrary queries against the table.
",,,,,,
346597557,MDEwOlJlcG9zaXRvcnkzNDY1OTc1NTc=,tableau-to-sqlite,simonw/tableau-to-sqlite,0,9599,https://github.com/simonw/tableau-to-sqlite,Fetch data from Tableau into a SQLite database,0,2021-03-11T06:12:02Z,2021-06-10T04:40:44Z,2021-04-29T16:11:03Z,,212,8,8,Python,1,1,1,1,0,2,0,0,2,apache-2.0,"[""datasette-io"", ""datasette-tool""]",2,2,8,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,2,1,"# tableau-to-sqlite
[](https://pypi.org/project/tableau-to-sqlite/)
[](https://github.com/simonw/tableau-to-sqlite/releases)
[](https://github.com/simonw/tableau-to-sqlite/actions?query=workflow%3ATest)
[](https://github.com/simonw/tableau-to-sqlite/blob/master/LICENSE)
Fetch data from Tableau into a SQLite database. A wrapper around [TableauScraper](https://github.com/bertrandmartel/tableau-scraping/).
## Installation
Install this tool using `pip`:
$ pip install tableau-to-sqlite
## Usage
If you have the URL to a Tableau dashboard like this:
https://results.mo.gov/t/COVID19/views/VaccinationsDashboard/Vaccinations
You can pass that directly to the tool:
tableau-to-sqlite tableau.db \
https://results.mo.gov/t/COVID19/views/VaccinationsDashboard/Vaccinations
This will create a SQLite database called `tableau.db` containing one table for each of the worksheets in that dashboard.
If the dashboard is hosted on https://public.tableau.com/ you can instead provide the view name. This will be two strings separated by a `/` symbol - something like this:
OregonCOVID-19VaccineProviderEnrollment/COVID-19VaccineProviderEnrollment
Now run the tool like this:
tableau-to-sqlite tableau.db \
OregonCOVID-19VaccineProviderEnrollment/COVID-19VaccineProviderEnrollment
## Get the data as JSON or CSV
If you're building a [git scraper](https://simonwillison.net/2020/Oct/9/git-scraping/) you may want to convert the data gathered by this tool to CSV or JSON to check into your repository.
You can do that using [sqlite-utils](https://sqlite-utils.datasette.io/). Install it using `pip`:
pip install sqlite-utils
You can dump out a table as JSON like so:
sqlite-utils rows tableau.db \
'Admin Site and County Map Site No Info' > tableau.json
Or as CSV like this:
sqlite-utils rows tableau.db --csv \
'Admin Site and County Map Site No Info' > tableau.csv
## Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd tableau-to-sqlite
python -mvenv venv
source venv/bin/activate
Or if you are using `pipenv`:
pipenv shell
Now install the dependencies and tests:
pip install -e '.[test]'
To run the tests:
pytest
","
tableau-to-sqlite
Fetch data from Tableau into a SQLite database. A wrapper around TableauScraper.
Installation
Install this tool using pip:
$ pip install tableau-to-sqlite
Usage
If you have the URL to a Tableau dashboard like this:
This will create a SQLite database called tableau.db containing one table for each of the worksheets in that dashboard.
If the dashboard is hosted on https://public.tableau.com/ you can instead provide the view name. This will be two strings separated by a / symbol - something like this:
If you're building a git scraper you may want to convert the data gathered by this tool to CSV or JSON to check into your repository.
You can do that using sqlite-utils. Install it using pip:
pip install sqlite-utils
You can dump out a table as JSON like so:
sqlite-utils rows tableau.db \
'Admin Site and County Map Site No Info' > tableau.json
Or as CSV like this:
sqlite-utils rows tableau.db --csv \
'Admin Site and County Map Site No Info' > tableau.csv
Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd tableau-to-sqlite
python -mvenv venv
source venv/bin/activate
Or if you are using pipenv:
pipenv shell
Now install the dependencies and tests:
pip install -e '.[test]'
To run the tests:
pytest
",,,,,,
375546675,MDEwOlJlcG9zaXRvcnkzNzU1NDY2NzU=,datasette-placekey,simonw/datasette-placekey,0,9599,https://github.com/simonw/datasette-placekey,SQL functions for working with placekeys,0,2021-06-10T02:31:27Z,2021-06-10T02:33:22Z,2021-06-10T02:32:42Z,https://datasette.io/plugins/datasette-placekey,3,0,0,Python,1,1,1,1,0,0,0,0,1,,"[""datasette"", ""datasette-plugin"", ""datasette-io"", ""placekey""]",0,1,0,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-placekey
[](https://pypi.org/project/datasette-placekey/)
[](https://github.com/simonw/datasette-placekey/releases)
[](https://github.com/simonw/datasette-placekey/actions?query=workflow%3ATest)
[](https://github.com/simonw/datasette-placekey/blob/main/LICENSE)
SQL functions for working with [placekeys](https://www.placekey.io/).
## Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-placekey
## Usage
The following SQL functions are exposed - [documentation here](https://placekey.github.io/placekey-py/placekey.html#module-placekey.placekey).
```sql
select
geo_to_placekey(33.0896104,129.7900839),
placekey_to_geo('@6nh-nhh-kvf'),
placekey_to_geo_latitude('@6nh-nhh-kvf'),
placekey_to_geo_longitude('@6nh-nhh-kvf'),
placekey_to_h3('@6nh-nhh-kvf'),
h3_to_placekey('8a30d94e4c87fff'),
placekey_to_geojson('@6nh-nhh-kvf'),
placekey_to_wkt('@6nh-nhh-kvf'),
placekey_format_is_valid('@6nh-nhh-kvf');
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-placekey
python3 -mvenv venv
source venv/bin/activate
Or if you are using `pipenv`:
pipenv shell
Now install the dependencies and tests:
pip install -e '.[test]'
To run the tests:
pytest
","