react-spark-scroll
React port of spark-scroll.
The future!
This repo has been around for a little while now. However, recently I re-created the demo utilizing a drastically different approach which was inspired by react-motion
. You can find this experimental demo in the examples/demo-functional
dir. It completely
does away with animators and direct DOM manipulation in favor of pure functional elegance.
Compatibility considerations and performance implications, etc. have not been explored. Going forward, it's likely that the old way will be deprecated and this new approach will take it's place. Update: performance suffers significantly because of repeated dom-diffing, so I will probably break this out into it's own repo instead.
Update2: It's been broken out into is own project, react-track
install
# gsap and gsap-animator will be included as a dependency:
npm install react-spark-scroll-gsap
Start with the GSAP version of the library, but note that you can use Rekapi or your own animator if you have a preference.
Tradeoffs:
-
GSAP is much easier to configure. That's because rekapi has some additional configuration necessary (see #3) beyond npm install spark-scroll-rekapi
. If you're in the quick-and-dirty experimentation stage, use gsap to get up and running faster.
-
Although I haven't done any benchmarks I suspect that rekapi is marginally faster than GSAP. That's because rekapi was built around the concept of timeline-based animation and spark-scroll is all about treating the scroll position as a timeline. Update: I performed some unscientific tests and GSAP actually seems to perform significantly better
-
GSAP supports animating SVGs. This is the main deciding factor for me. If I don't need SVG animation I prefer using rekapi although it's not a strong preference.
-
Rekapi and GSAP have different licenses.
Alternative installations:
# rekapi will be included as a dependency:
npm install react-spark-scroll-rekapi
or
# in this case you will have to manually setup an animator
npm install react-spark-scroll
You can read all of the documentation below, but first checkout the
demo
and the source code.
It's so declarative you might not even need documentation ;-)
build and run the examples
git clone https://github.com/gilbox/react-spark-scroll.git
cd react-spark-scroll/
npm i
npm run examples
open http://localhost:8080/webpack-dev-server/
why?
I was curious to find out how difficult it would be to create complex animations
with React. At first, I thought that React's lack of a direct equivalent to
angular's attribute-type directive (restrict: 'A'
) would be a major drawback. However, using
higher-order components
to generate variations of the same component turned out to be a remarkably
elegant
solution.
Ie., <SparkScroll.div />
, <SparkScroll.span />
, <SparkScroll.h1 />
, etc...
The one place where angular might have an advantage is
through it's ability to facilitate more expressive
syntax. For example, to toggle a class in angular:
<section
class="pin"
spark-trigger="pin-cont"
spark-scroll="{
topTop: { 'downAddClass,upRemoveClass': 'pin-pin' },
bottomBottom: { 'downAddClass,upRemoveClass': 'pin-unpin' }
}">
...vs in react:
<SparkScroll.section
className={cx("pin",{
'pin-pin':this.state.pinPin,
'pin-unpin':this.state.pinUnpin})}
proxy="pin-cont"
timeline={{
topTop: {
onDown: () => this.setState({pinPin:true}),
onUp: () => this.setState({pinPin:false})
},
bottomBottom: {
onDown: () => this.setState({pinUnpin:true}),
onUp: () => this.setState({pinUnpin:false})
}
}}>
Note that a proxy
is used
to provide a canonical scroll position. This is
useful because it's very common for the top of the element to change during
scrolling.
It is much much much easier to reason about what is
actually happening in the react version. All the tricks employed by
angular to achieve the expressiveness is not worth the confusion it
often creates for developers, IMO. I no longer have a strong opinion about
which way is better. Also, it's actually possible to achieve the same
angular syntax in React but I'm not sure if that's a good idea.
setup
var {SparkScroll, SparkProxy, sparkScrollFactory} =
require('react-spark-scroll/spark-scroll-rekapi')({
invalidateAutomatically: true
});
SparkScroll['MyClass'] = sparkScrollFactory(MyClass);
var App = React.createClass({
render() {
return (
<SparkScroll.h1
timeline={{
topBottom: {opacity: 0},
centerCenter: {opacity: 1}
}}>fade</SparkScroll.h1>
<SparkScroll.MyClass
myClassProperty="some value that MyClass requires"
timeline={{
'topTop+100': {width: '0%', backgroundColor: '#5c832f'},
'topTop+250': {width: ['100%', 'easeOutQuart'], backgroundColor: '#382513'}
}} />
)
}
});
usage
Basic Callback Example
<SparkScroll.h1
timeline={{
120:{ onUp: _ => console.log('scrolling up past 120!') },
121:{ 'onUp,onDown': e => console.log('going ' + (e==='onUp' ? 'up!':'down!')) }
}}>
This Title is Sparky
</h1>
Formula Example
<SparkScroll.h1
timeline={{
topTop:{ onUp: _ => console.log('scrolling up past element top hit top of viewport!') },
'bottomBottom+50':{ 'onUp,onDown': e => console.log('going ' + (e==='onUp' ? 'up!':'down!')) }
}}>
This Title is Sparky
</h1>
Animated Example (with formulas)
<SparkScroll.h1
timeline={{
topTop:{ color: '#f00', marginLeft: '50px' },
topBottom:{ color: '#000', marginLeft: '0px' }
}}>
This Title is Spark Animated
</h1>
Animated Less-Basic Example with easing (no formulas)
<SparkScroll.h1
timeline={{
ease:'easeOutQuad',
120:{opacity:'0'},
121:{opacity:'0.8', top:'151px', color:'#fff'},
140:{opacity:'1.0', top:'0px', color:'#444'}
}}>
This Title is Sparky
</h1>
Animated Example with Override element-wide easing at a specific keyframe (with formulas)
<SparkScroll.h1
timeline={{
ease:'easeOutQuad',
topTop:{opacity:'0'},
centerCenter:{opacity:'0.8', top:'151px', color:'#fff'},
bottomBottom:{opacity:'1.0', top:'0px', color:'#444', ease: 'linear'}
}}>
This Title is Sparky
</h1>
Callback on Scroll Event
The callback
property expects a function.
The function will be called for every frame of scrolling. react-spark-scroll
internally debounces scroll events
so the callback will not necessarily be called on all native scroll events.
Every time the function is called, it is provided one argument, ratio
which is a decimal value
between 0 and 1 representing the progress of scroll within the limits of the maximum and minimum
scroll positions of the timeline
property. The simplest use of the callback
property
would look something like this:
<SparkScroll.div
callback={ ratio => console.log('callback @ ' + ratio) }
timeline={{ topBottom:0, topTop:0 }} />
When react-spark-scroll
calls the callback function, the ratio
is calculated based on the current scroll position,
and the topBottom
and topTop
formulas.
Note that in the preceding example instead of assigning an object to the keyframes (topBottom
and topTop
), we simply
assign 0
. However, if we wanted to use a callback while at the same time taking advantage of action and
animation properties we could do something like this:
<SparkScroll.h1
callback={ ratio => console.log('callback @ ' + ratio) }
timeline={{
topTop:{ opacity: 0 },
topCenter:{ opacity: 0.3 },
topBottom:{ opacity: 1, onUp: _ => console.log('scrolling up') }
}}>
This Title is Spark
</h1>
Note that in this example, the callback
's ratio
argument
is calculated using the topTop
and topBottom
formulas because they are at the extremes of the
keyframe range for this element.
actions
Actions are triggered only when hitting a keyframe. An action can cause something to
happen when scrolling up past the keyframe, down past the keyframe, or both.
There are currently only two built-in actions: onUp
and onDown
which simply
trigger a callback function.
custom actions
Custom actions may be added via the options object of the react-spark-scroll factory
function, utilizing the actions
property. For example, we could create a log
action
that simply logs a message to the console whenever it's activated:
var sparkScroll = require('react-spark-scroll/spark-scroll-rekapi')({
actions: {
log: {
down(o) {
console.log(`spark: hit keyframe [ ${o.formula} ] scrolling down. value: ${o.val}`);
}
up(o) {
console.log(`spark: hit keyframe [ ${o.formula} ] scrolling up. value: ${o.val}`);
}
}
}
}
And putting the new action to use might look like this:
<SparkScroll.h1
timeline={{
topBottom: {opacity: 0, log: 'foo'},
centerCenter: {opacity: 1, log: 'bar'}
}}>fade</SparkScroll.h1>
When scrolling up and down we'd see in the console:
spark: hit keyframe [ centerCenter ] scrolling down. value: bar
spark: hit keyframe [ topBottom ] scrolling down. value: foo
spark: hit keyframe [ topBottom ] scrolling up. value: foo
spark: hit keyframe [ centerCenter ] scrolling up. value: bar
formulas
Formulas are dynamically calculated keyframes. They usually require that you implement
some form of invalidation, the simplest of which is setting the invalidateAutomatically
option to true
.
Here are all of the formulas that ship with react-spark-scroll:
const _sparkFormulas = {
topTop(element, container, rect, containerRect, offset) {
return ~~(rect.top - containerRect.top + offset);
},
topCenter(element, container, rect, containerRect, offset) {
return ~~(rect.top - containerRect.top - container.clientHeight / 2 + offset);
},
topBottom(element, container, rect, containerRect, offset) {
return ~~(rect.top - containerRect.top - container.clientHeight + offset);
},
centerTop(element, container, rect, containerRect, offset) {
return ~~(rect.top + rect.height / 2 - containerRect.top + offset);
},
centerCenter(element, container, rect, containerRect, offset) {
return ~~(rect.top + rect.height / 2 - containerRect.top - container.clientHeight / 2 + offset);
},
centerBottom(element, container, rect, containerRect, offset) {
return ~~(rect.top + rect.height / 2 - containerRect.top - container.clientHeight + offset);
},
bottomTop(element, container, rect, containerRect, offset) {
return ~~(rect.bottom - containerRect.top + offset);
},
bottomBottom(element, container, rect, containerRect, offset) {
return ~~(rect.bottom - containerRect.top - container.clientHeight + offset);
},
bottomCenter(element, container, rect, containerRect, offset) {
return ~~(rect.bottom - containerRect.top - container.clientHeight / 2 + offset);
}
};
custom formulas
Formulas allow you to add keyframes to the timeline that are dynamically calculated based
on any of the following objects:
- element: DOM element
- container: Body DOM element
- rect: element's bounding rect
- containerRect: container's bounding rect
- offset: offset passed into the formula
Custom formulas can be added via the options object of the react-spark-scroll factory function,
utilizing the formulas
property. For example:
var sparkScroll = require('react-spark-scroll/spark-scroll-rekapi')({
invalidateAutomatically: true
formulas: {
topBottomPct: (element, container, rect, containerRect, offset) =>
~~(rect.bottom - containerRect.top + offset*containerRect.clientHeight/100)
}
});
Custom Animation Engine
The factory method returned by require('react-spark-scroll')
expects an options object
where only one option is required: animator
. animator
should be an object with the property
instance
of type function
. Invoking animator.instance()
returns an instance of a Spark Scroll-compatible
animator. Included with react-spark-scroll
are two different animators: Rekapi and GSAP. Here
is an example of how the GSAP animator can be used to bootstrap the factory method:
const _factory = require('react-spark-scroll');
function factory(options) {
return _factory(assign({
animator: {
instance: () => new GSAPAnimator()
}
}, options));
}
Note that we've created another factory method to wrap the react-spark-scroll
factory method
so that additional options may be passed in.
As mentioned, react-spark-scroll
already ships with options for two different animation
engines, which you can include by manually installed the dependencies you need or simply:
require('react-spark-scroll-rekapi');
// OR:
require('react-spark-scroll-gsap');
If you wish to use a custom animation engine, your Animator
class must support
the following Rekapi-like interface:
const animator = new Animator(/* optional args */);
const actor = animator.addActor({ context: <dom element> }) // works just like rekapi.addActor(...)
actor.keyframe(...)
actor.moveKeyframe(...)
actor.removeAllKeyframes()
animator.update(...) // works just like rekapi.update(...)
See below and the Rekapi docs for implementation details.
actor.keyframe(scrollY, animations, ease)
Creates a new keyframe. A keyframe should support the following properties...
-
scrollY
The vertical scroll position (the library will treat this as time)
-
animations
Simple object with css properties and values, for example:
{marginLeft: "0px", opacity: 1}
{borderRight: "5px", opacity: 0}
-
ease
Simple object with property for each property in animations
object (see above)
{marginLeft: "easeOutSine", opacity: "bouncePast"}
{borderRight: "linear", opacity: "easeinSine"}
actor.finishedAddingKeyframes
actors can optionally expose this function which will be called when parsing has completed
actor.moveKeyframe(from, to)
Moves a keyframe to a different time (scroll) value.
-
from
Source keyframe
-
to
Destination keyframe
animator.update(scrollY)
Updates the animation to a specific keyframe.
scrollY
The vertical scroll position (the library will treat this as time)
TweenMax/TweenLite (GSAP)
The syntax when using TweenMax will differ slightly
because TweenMax has some differences in the animation properties it supports. For example,
while Rekapi supports the rotate
property which takes a string value like 360deg
, TweenMax
instead supports rotation
which takes a numeric value like 360
. TweenMax also supports
a rather different set of easing equations than Rekapi.
spark-scroll TweenMax demo
Note: I suspect that Rekapi is slightly faster than GSAP for scroll-based animation
because it was built specifically for keyframe
animations. However, if you are interested in animating SVG then use the GSAP animator
because GSAP supports SVG animations but Rekapi does not.
As mentioned, the easiest way to use GSAP is via:
require('react-spark-scroll-gsap');
However, this will include TweenMax. To customize your build instead of the above, use:
require('react-spark-scroll');
Now you can include a subset of TweenMax since TweenMax isn't specified as a dependency of react-spark-scroll
.
TweenLite.js
, CSSPlugin.js
, and TimelineLite.js
are the minimum subset of files
required by GSAPAnimator
. Load those files in however you wish, and then copy
node_modules/react-spark-scroll/src/spark-scroll-gsap.js
into your project and remove the require('gsap')
line.
status
Completed:
- Keyframe animations w/Rekapi
- Formulas
- Actions (only supports
onUp
and onDown
with different callback semantics than spark-scroll
) - onScroll
callback
prop (previously in angular was spark-scroll-callback
attribute) - Custom formulas, actionProps
- sparkSetup
SparkProxy
(in angular called sparkTrigger
)- publish to npm
- Demo
- Support for GSAP
- README
- Invalidation
- Manual invalidation mechanism
- Invalidation interval
- Automatic invalidation on window resize
Todo:
- Test on various browsers
- Re-parsing of data when changed
Probably Won't do:
Contributing
Publishing to NPM
-
First make sure to bump the version number in package.json
in accordance with semantic versioning practices. If you think a major version bump is warranted, go for it!
# preparation
npm run build-npm-all
# actually publish to npm !!! VERY IMPORTANT Do NOT run `npm publish`, !!!
npm run publish
-
Create a git tag and publish it
git tag vVERSION.NUMBER.WHATEVER
git push origin vVERSION.NUMBER.WHATEVER