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
184168864,MDEwOlJlcG9zaXRvcnkxODQxNjg4NjQ=,datasette-render-html,simonw/datasette-render-html,0,9599,https://github.com/simonw/datasette-render-html,Plugin for selectively rendering the HTML is specific columns,0,2019-04-30T01:21:25Z,2020-09-24T04:44:47Z,2021-03-17T03:57:13Z,,8,2,2,Python,1,1,1,1,0,2,0,0,1,,"[""datasette"", ""datasette-plugin"", ""datasette-io""]",2,1,2,master,"{""admin"": false, ""push"": false, ""pull"": false}",,,2,1,"# datasette-render-html
[](https://pypi.org/project/datasette-render-html/)
[](https://circleci.com/gh/simonw/datasette-render-html)
[](https://github.com/simonw/datasette-render-html/blob/master/LICENSE)
This Datasette plugin lets you configure Datasette to render specific columns as HTML in the table and row interfaces.
This means you can store HTML in those columns and have it rendered as such on those pages.
If you have a database called `docs.db` containing a `glossary` table and you want the `definition` column in that table to be rendered as HTML, you would use a `metadata.json` file that looks like this:
{
""databases"": {
""docs"": {
""tables"": {
""glossary"": {
""plugins"": {
""datasette-render-html"": {
""columns"": [""definition""]
}
}
}
}
}
}
}
## Security
This plugin allows HTML to be rendered exactly as it is stored in the database. As such, you should be sure only to use this against columns with content that you trust - otherwise you could open yourself up to an [XSS attack](https://owasp.org/www-community/attacks/xss/).
It's possible to configure this plugin to apply to columns with specific names across whole databases or the full Datasette instance, but doing so is not safe. It could open you up to XSS vulnerabilities where an attacker composes a SQL query that results in a column containing unsafe HTML.
As such, you should only use this plugin against specific columns in specific tables, as shown in the example above.
","
datasette-render-html
This Datasette plugin lets you configure Datasette to render specific columns as HTML in the table and row interfaces.
This means you can store HTML in those columns and have it rendered as such on those pages.
If you have a database called docs.db containing a glossary table and you want the definition column in that table to be rendered as HTML, you would use a metadata.json file that looks like this:
This plugin allows HTML to be rendered exactly as it is stored in the database. As such, you should be sure only to use this against columns with content that you trust - otherwise you could open yourself up to an XSS attack.
It's possible to configure this plugin to apply to columns with specific names across whole databases or the full Datasette instance, but doing so is not safe. It could open you up to XSS vulnerabilities where an attacker composes a SQL query that results in a column containing unsafe HTML.
As such, you should only use this plugin against specific columns in specific tables, as shown in the example above.
",,,,,,
206202864,MDEwOlJlcG9zaXRvcnkyMDYyMDI4NjQ=,inaturalist-to-sqlite,dogsheep/inaturalist-to-sqlite,0,53015001,https://github.com/dogsheep/inaturalist-to-sqlite,Create a SQLite database containing your observation history from iNaturalist,0,2019-09-04T01:21:21Z,2020-12-19T05:18:38Z,2020-10-22T00:08:58Z,,17,2,2,Python,1,1,1,1,0,0,0,0,0,apache-2.0,"[""sqlite"", ""inaturalist"", ""datasette"", ""dogsheep"", ""datasette-io"", ""datasette-tool""]",0,0,2,master,"{""admin"": false, ""push"": false, ""pull"": false}",,53015001,0,1,"# inaturalist-to-sqlite
[](https://pypi.org/project/inaturalist-to-sqlite/)
[](https://circleci.com/gh/dogsheep/inaturalist-to-sqlite)
[](https://github.com/dogsheep/inaturalist-to-sqlite/blob/master/LICENSE)
Create a SQLite database containing your observation history from [iNaturalist](https://www.inaturalist.org/).
## How to install
$ pip install inaturalist-to-sqlite
## Usage
$ inaturalist-to-sqlite inaturalist.db yourusername
(Or try `simonw` if you don't yet have an iNaturalist account)
This will import all of your iNaturalist observations into a SQLite database called `inaturalist.db`.","
inaturalist-to-sqlite
Create a SQLite database containing your observation history from iNaturalist.
(Or try simonw if you don't yet have an iNaturalist account)
This will import all of your iNaturalist observations into a SQLite database called inaturalist.db.
",,,,,,
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.
",,,,,,
243887036,MDEwOlJlcG9zaXRvcnkyNDM4ODcwMzY=,datasette-configure-fts,simonw/datasette-configure-fts,0,9599,https://github.com/simonw/datasette-configure-fts,Datasette plugin for enabling full-text search against selected table columns,0,2020-02-29T01:50:57Z,2020-11-01T02:59:12Z,2020-11-01T02:59:10Z,,42,2,2,Python,1,1,1,1,0,0,0,0,2,apache-2.0,"[""datasette"", ""datasette-plugin"", ""datasette-io""]",0,2,2,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-configure-fts
[](https://pypi.org/project/datasette-configure-fts/)
[](https://github.com/simonw/datasette-configure-fts/releases)
[](https://github.com/simonw/datasette-configure-fts/actions?query=workflow%3ATest)
[](https://github.com/simonw/datasette-configure-fts/blob/main/LICENSE)
Datasette plugin for enabling full-text search against selected table columns
## Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-configure-fts
## Usage
Having installed the plugin, visit `/-/configure-fts` on your Datasette instance to configure FTS for tables on attached writable databases.
Any time you have permission to configure FTS for a table a menu item will appear in the table actions menu on the table page.
By default only [the root actor](https://datasette.readthedocs.io/en/stable/authentication.html#using-the-root-actor) can access the page - so you'll need to run Datasette with the `--root` option and click on the link shown in the terminal to sign in and access the page.
The `configure-fts` permission governs access. You can use permission plugins such as [datasette-permissions-sql](https://github.com/simonw/datasette-permissions-sql) to grant additional access to the write interface.
","
datasette-configure-fts
Datasette plugin for enabling full-text search against selected table columns
Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-configure-fts
Usage
Having installed the plugin, visit /-/configure-fts on your Datasette instance to configure FTS for tables on attached writable databases.
Any time you have permission to configure FTS for a table a menu item will appear in the table actions menu on the table page.
By default only the root actor can access the page - so you'll need to run Datasette with the --root option and click on the link shown in the terminal to sign in and access the page.
The configure-fts permission governs access. You can use permission plugins such as datasette-permissions-sql to grant additional access to the write interface.
",,,,,,
255460347,MDEwOlJlcG9zaXRvcnkyNTU0NjAzNDc=,datasette-clone,simonw/datasette-clone,0,9599,https://github.com/simonw/datasette-clone,Create a local copy of database files from a Datasette instance,0,2020-04-13T23:05:41Z,2021-06-08T15:33:21Z,2021-02-22T19:32:36Z,,20,2,2,Python,1,1,1,1,0,0,0,0,0,apache-2.0,"[""datasette"", ""datasette-io"", ""datasette-tool""]",0,0,2,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-clone
[](https://pypi.org/project/datasette-clone/)
[](https://github.com/simonw/datasette-clone/releases)
[](https://github.com/simonw/datasette-clone/actions?query=workflow%3ATest)
[](https://github.com/simonw/datasette-clone/blob/main/LICENSE)
Create a local copy of database files from a Datasette instance.
See [datasette-clone](https://simonwillison.net/2020/Apr/14/datasette-clone/) on my blog for background on this project.
## How to install
$ pip install datasette-clone
## Usage
This only works against Datasette instances running immutable databases (with the `-i` option). Databases published using the `datasette publish` command should be compatible with this tool.
To download copies of all `.db` files from an instance, run:
datasette-clone https://latest.datasette.io
You can provide an optional second argument to specify a directory:
datasette-clone https://latest.datasette.io /tmp/here-please
The command stores its own copy of a `databases.json` manifest and uses it to only download databases that have changed the next time you run the command.
It also stores a copy of the instance's `metadata.json` to ensure you have a copy of any source and licensing information for the downloaded databases.
If your instance is protected by an API token, you can use `--token` to provide it:
datasette-clone https://latest.datasette.io --token=xyz
For verbose output showing what the tool is doing, use `-v`.
","
datasette-clone
Create a local copy of database files from a Datasette instance.
See datasette-clone on my blog for background on this project.
How to install
$ pip install datasette-clone
Usage
This only works against Datasette instances running immutable databases (with the -i option). Databases published using the datasette publish command should be compatible with this tool.
To download copies of all .db files from an instance, run:
datasette-clone https://latest.datasette.io
You can provide an optional second argument to specify a directory:
The command stores its own copy of a databases.json manifest and uses it to only download databases that have changed the next time you run the command.
It also stores a copy of the instance's metadata.json to ensure you have a copy of any source and licensing information for the downloaded databases.
If your instance is protected by an API token, you can use --token to provide it:
For verbose output showing what the tool is doing, use -v.
",,,,,,
273609879,MDEwOlJlcG9zaXRvcnkyNzM2MDk4Nzk=,datasette-saved-queries,simonw/datasette-saved-queries,0,9599,https://github.com/simonw/datasette-saved-queries,Datasette plugin that lets users save and execute queries,0,2020-06-20T00:20:42Z,2020-09-24T05:08:37Z,2020-08-15T23:38:46Z,,12,2,2,Python,1,1,1,1,0,0,0,0,1,,"[""datasette"", ""datasette-plugin"", ""datasette-io""]",0,1,2,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,0,1,"# datasette-saved-queries
[](https://pypi.org/project/datasette-saved-queries/)
[](https://github.com/simonw/datasette-saved-queries/releases)
[](https://github.com/simonw/datasette-saved-queries/blob/master/LICENSE)
Datasette plugin that lets users save and execute queries
## Installation
Install this plugin in the same environment as Datasette.
$ pip install datasette-saved-queries
## Usage
When the plugin is installed Datasette will automatically create a `saved_queries` table in the first connected database when it starts up.
It also creates a `save_query` writable canned query which you can use to save new queries.
Queries that you save will be added to the query list on the database page.
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-saved-queries
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
","
datasette-saved-queries
Datasette plugin that lets users save and execute queries
Installation
Install this plugin in the same environment as Datasette.
$ pip install datasette-saved-queries
Usage
When the plugin is installed Datasette will automatically create a saved_queries table in the first connected database when it starts up.
It also creates a save_query writable canned query which you can use to save new queries.
Queries that you save will be added to the query list on the database page.
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-saved-queries
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
",,,,,,
291359358,MDEwOlJlcG9zaXRvcnkyOTEzNTkzNTg=,datasette-yaml,simonw/datasette-yaml,0,9599,https://github.com/simonw/datasette-yaml,Export Datasette records as YAML,0,2020-08-29T22:32:15Z,2020-12-28T03:20:36Z,2021-05-13T08:59:53Z,,7,2,2,Python,1,1,1,1,0,1,0,0,1,,"[""yaml"", ""datasette"", ""datasette-plugin"", ""datasette-io""]",1,1,2,main,"{""admin"": false, ""push"": false, ""pull"": false}",,,1,1,"# datasette-yaml
[](https://pypi.org/project/datasette-yaml/)
[](https://github.com/simonw/datasette-yaml/releases)
[](https://github.com/simonw/datasette-yaml/actions?query=workflow%3ATest)
[](https://github.com/simonw/datasette-yaml/blob/main/LICENSE)
Export Datasette records as YAML
## Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-yaml
## Usage
Having installed this plugin, every table and query will gain a new `.yaml` export link.
You can also construct these URLs directly: `/dbname/tablename.yaml`
## Demo
The plugin is running on [covid-19.datasettes.com](https://covid-19.datasettes.co/) - for example [/covid/latest_ny_times_counties_with_populations.yaml](https://covid-19.datasettes.com/covid/latest_ny_times_counties_with_populations.yaml)
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd datasette-yaml
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
","
datasette-yaml
Export Datasette records as YAML
Installation
Install this plugin in the same environment as Datasette.
$ datasette install datasette-yaml
Usage
Having installed this plugin, every table and query will gain a new .yaml export link.
You can also construct these URLs directly: /dbname/tablename.yaml