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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
Curtail is a pure JavaScript image manipulation tool.
Note: This documentation is for Curtail 3.0, the most recent version of Curtail which reflects some API changes.
To download Curtail through npm, simply use the following command:
$ npm install curtail
Curtail doesn't have a named export so you can import the specific modules you need or all of them like so:
import * as curtail from './node_modules/curtail/curtail.js';
The available modules within Curtail are:
Transform: The transform methods are used to change the image size, format, and other 'physical' properties.
Decorate: Contains methods that to add decorative features to images.
The transform methods are used to change the image size, format, and other 'physical' properties.
Note: As loading of images is an asynchoronous action, all of Curtail's methods return a Promise which you can use either then
or await
as shown in the examples below.
The crop method takes the path to an image, a crop start location, and the final dimensons of the image and returns the newly cropped version of the original image.
param | type | description | default |
---|---|---|---|
path | string | The path to the image to crop | |
x | number | The horizontal starting location of the crop | |
y | number | The vertical starting location of the crop | |
width | number | The width of the cropped image | |
height | number | The height of the cropped image | |
options | Object | {} | |
options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false |
options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |
Using Promise.then
:
// This will take an image and start cropping at (100, 100) and create a new image
// with a width of 720x480.
curtail.crop('./path/to/image.png', 100, 100, 720, 480).then((newImage) => {
// newImage will be your newly cropped image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
});
Using async/await
:
async function main() {
// This will take an image and start cropping at (100, 100) and create a new image
// with a width of 720x480.
// You should probably use `try, catch`
const newImage = curtail.crop('./path/to/image.png', 100, 100, 720, 480).catch((err) => console.log(err));
// newImage will be your newly cropped image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
}
main();
The convert method takes an image and converts it from one image format to another.
If you have a transparent image and convert it to a format that doesn't support transparency, the image will be placed on a white background.
param | type | description | default |
---|---|---|---|
path | string | The path to the image to crop | |
format | string | The new format for the image | |
options | Object | {} | |
options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false |
options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |
Using Promise.then
:
// This will take an image and start cropping at (100, 100) and create a new image
// with a width of 720x480.
curtail.convert('./path/to/image.png', 'jpg').then((newImage) => {
// newImage will be your newly converted image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
});
Using async/await
:
async function main() {
// This will take an image and start cropping at (100, 100) and create a new image
// with a width of 720x480.
// You should probably use `try, catch`
const newImage = curtail.convert('./path/to/image.png', 'jpg').catch((err) => console.log(err));
// newImage will be your newly converted image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
}
main();
The resize method takes an image and resizes it, maintaining its aspect ratio by default.
param | type | description | default |
---|---|---|---|
path | string | The path to the image to crop | |
format | string | Which dimension to resize, either width or height. Keep in mind that if you're preserving the aspect ratio, the other will resize accordingly | |
size | number | The new size to make the specified dimension | |
options | Object | {} | |
options.preserveAspectRatio | boolean | Indicates whether the width and height will resize together to preserve the aspect ratio of the image | true |
options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false |
options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |
Using Promise.then
:
// This will take an image (sized 1920x0180 in this example) and resize the width to
// be 400 which will result in the image having a width of 400 and height of 225.
curtail.resize('./path/to/image.png', 'width', 400).then((newImage) => {
// newImage will be your newly resized image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
});
Using async/await
:
async function main() {
// This will take an image (sized 1920x0180 in this example) and resize the width to
// be 400 which will result in the image having a width of 400 and height of 225.
// You should probably use `try, catch`
const newImage = curtail.resize('./path/to/image.png', 'width', 400).catch((err) => console.log(err));
// newImage will be your newly resized image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
}
main();
Contains methods to add decorative features to images.
The pad method takes an image and adds the specified amount of padding to it.
param | type | description | default |
---|---|---|---|
path | string | The path to the image to crop | |
padding | number | The amount of padding to add to the image | |
options | Object | {} | |
options.paddingColor | string | The color that the padding will be. This value can be any valid CSS color value such as white or #FFFFFF | 'transparent' |
options.autoDownload | boolean | Indicates whether the image should download after the cropping is complete or not. | false |
options.crossOrigin | string | Sets the cross-origin property of images originating from external sources. | null |
Using Promise.then
:
// This will take an image and add 20px of blue padding to all sides.
curtail.pad('./path/to/image.png', 20, { paddingColor: 'blue' }).then((newImage) => {
// newImage will be your newly padded image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
});
Using async/await
:
async function main() {
// This will take an image and add 20px of blue padding to all sides.
// You should probably use `try, catch`
const newImage = curtail.pad('./path/to/image.png', 20, { paddingColor: 'blue' }).catch((err) => console.log(err));
// newImage will be your newly padded image and if autoDownload is set to true
// then you will have a local copy downloaded at this time.
}
main();
MIT
3.1.4 / 2019-11-14
FAQs
Curtail is a pure JavaScript image manipulation tool.
We found that curtail demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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