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This is a thin wrapper on top of the Javascript Library, so you might want to view those docs first to familiarize yourself with the basic classes and methods. This SDK supports both ReactJS and ReactNative environments and both client and server components. Important: Starting in version 1.0.0, you must always pass a GrowthBook instance into the GrowthBookProvider. In previous versions, you were allowed to pass null as well.

Installation

Install with a package manager
npm2yarn

Quick Usage

Step 1: Configure your app

Step 2: Start feature flagging!

There are a few ways to use feature flags in GrowthBook:

Feature Hooks

Feature Wrapper Components

useGrowthBook hook

If you need low-level access to the GrowthBook instance for any reason, you can use the useGrowthBook hook. One example is updating targeting attributes when a user logs in:

Plugins

GrowthBook comes with a number of built-in plugins that add additional functionality. You can enable these by passing them into the GrowthBook constructor. Plugins require GrowthBook version 1.4.0 or higher, released in Feb 2025.

Third Party Tracking

The third-party tracking plugin automatically sends an “Experiment Viewed” event to several popular analytics tracking tools (Segment, Google Analytics, and Google Tag Manager). This plugin requires a browser environment and does not work in Server Components or React Native. This plugin does not install any 3rd party libraries, it just sends events to ones that are already installed on your site. Below are all of the supported trackers:
  • segment - Requires window.analytics to be defined.
  • gtag - Requires window.gtag to be defined.
  • gtm - Requires window.dataLayer to be defined.

Auto-Attributes

The auto-attributes plugin automatically detects and sets common attributes in GrowthBook for the current user. These attributes are available locally for targeting and are not sent to GrowthBook’s servers. This plugin requires a browser environment and does not work in Server Components or React Native.

Attributes

Here is a list of all attributes that are set by this plugin:
  • id - A random unique identifier for the user, persisted in a cookie
  • url - The current URL of the page
  • path - The current URL path of the page
  • host - The current URL host of the page
  • query - The current URL query string of the page
  • pageTitle - The current page title
  • deviceType - The device type of the user. Either “mobile” or “desktop”
  • browser - The browser name of the user (edge, chrome, firefox, safari, or unknown)
  • utmSource, utmMedium, utmCampaign, utmTerm, utmContent - UTM parameters from the URL (persisted in sessionStorage for subsequent page views)
In addition, any variables set through Google Tag Manager (window.dataLayer) will be added as attributes as well. You can still specify your own custom attributes in the GrowthBook constructor, and they will be merged with the auto-attributes.

Options

By default the plugin generates a random UUID for the user and stores it in a cookie. You can customize this behavior with the following options.
  • uuidKey - The attribute key to use for the uuid (default is id)
  • uuid - Pass in your own user id instead of having the plugin generate a random one.
  • uuidCookieName - The name of the cookie to use for the generated uuid (default is gb_uuid)
  • uuidCookieDomain - Scope the uuid cookie to a parent domain (e.g. ".example.com") so the same anonymous id is shared across subdomains. Recommended if you run experiments that redirect users between subdomains, otherwise the visitor gets a new id (and can be re-bucketed) on the destination subdomain.
  • uuidAutoPersist - If false, the generated id will NOT be stored in a cookie automatically. Default depends on the uuid option. If uuid is set, the default is false. Otherwise, the default is true.
If you have a cookie consent banner, you can set uuidAutoPersist to false and then later manually trigger the cookie to be saved by calling:

Loading Features

In order for the GrowthBook SDK to work, it needs to have feature definitions from the GrowthBook API. There are 2 ways to get this data into the SDK.

Built-in Fetching and Caching

If you pass an apiHost and clientKey into the GrowthBook constructor, it will handle the network requests, caching, retry logic, etc. for you automatically. If your feature payload is encrypted, you can also pass in a decryptionKey.
Until features are loaded, all features will evaluate to null. If you’re ok with a potential flicker in your application (features going from null to their real value), you can call init without awaiting the result. If you want to refresh the features at any time (e.g. when a navigation event occurs), you can call gb.refreshFeatures().

Error Handling

In the case of network issues, the init call will not throw an error. Instead, it will stay in the default state where every feature evaluates to null. You can still get access to the error if needed:
The return value has 3 properties:
  • status - true if the GrowthBook instance was populated with features/experiments. Otherwise false
  • source - Where this result came from. One of the following values: network, cache, init, error, or timeout
  • error - If status is false, this will contain an Error object with more details about the error

Custom Integration

If you prefer to handle the network and caching logic yourself, you can pass in a full JSON “payload” directly into the SDK. For example, you might store features in Postgres and send it down to your front-end as part of your app’s initial bootstrap API call.
The data structure for “payload” is exactly the same as what is returned by the GrowthBook SDK endpoints and webhooks. You can update the payload at any time by calling setPayload(newPayloadJSON) and there are also getPayload() and getDecryptedPayload() methods, which are useful in hybrid apps where you want to hydrate the client with data from the server. Note: you don’t need to specify clientKey or apiHost on your GrowthBook instance unless you want to enable streaming (see below) or call refreshFeatures() later.

Synchronous Init

There is a alternate synchronous version of init named initSync, which can be especially useful in SSR to prevent hydration mismatches. There are some restrictions/differences:
  • You MUST pass in payload
  • The payload MUST NOT have encrypted features or experiments
  • If using sticky bucketing, you should use an instance of StickyBucketServiceSync, such as BrowserCookieStickyBucketService.
  • The return value is the GrowthBook instance to enable easy method chaining

Waiting for Features to Load

There is a helper component <FeaturesReady> that lets you render a fallback component until features are done loading. This works for both built-in fetching and custom integrations.
  • timeout is the max time you want to wait for features to load (in ms). The default is 0 (no timeout).
  • fallback is the component you want to display before features are loaded. The default is null.
If you want more control, you can use the useGrowthBook() hook and the ready flag:

Streaming Updates

The GrowthBook SDK supports streaming with Server-Sent Events (SSE). When enabled, changes to features within GrowthBook will be streamed to the SDK in realtime as they are published. This is only supported on GrowthBook Cloud or if running a GrowthBook Proxy Server.

Streaming in Browser Environments

SSE is supported on all major browsers, so enabling streaming is as easy as passing streaming: true into your init call:
You may also differentiate your streaming host URL from your API host by setting the streamingHost property in the GrowthBook constructor (ex: Remote Evaluation is done on a CDN edge worker while Streaming is done through a GrowthBook Proxy server).

Streaming in ReactNative

You need to install a polyfill for SSE to use streaming in a ReactNative application:
npm2yarn
The, tell GrowthBook to use this polyfill:
The destructured form above is for eventsource v3 and up, which needs Node 18+ (20+ on v4). On v2 and below the constructor is the default export, so use const EventSource = require("eventsource") instead. Passing the module object rather than the constructor prevents streaming from starting; the SDK logs a warning when it detects this.
And finally, you can simply pass streaming: true into your init calls:

Remote Evaluation

See the Remote Evaluation overview for more information about what Remote Evaluation is, how it works, and deployment options.
When used in a front-end context, the React SDK may be run in Remote Evaluation mode. This mode brings the security benefits of a backend SDK to the front end by evaluating feature flags exclusively on a private server. Using Remote Evaluation ensures that any sensitive information within targeting rules or unused feature variations are never seen by the client. Note that Remote Evaluation should not be used in a backend context (Hybrid SSR/CSR is also not supported). You must enable Remote Evaluation in your SDK Connection settings. Cloud customers are also required to self-host a GrowthBook Proxy Server, edge worker, or custom remote evaluation backend. To use Remote Evaluation, add the remoteEval: true property to your SDK instance. A new evaluation API call will be made any time a user attribute or other dependency changes. You may optionally limit these API calls to specific attribute changes by setting the cacheKeyAttributes property (an array of attribute names that, when changed, trigger a new evaluation call).
Sticky Bucketing with Remote EvaluationIf you would like to implement Sticky Bucketing while using Remote Evaluation, you must configure your remote evaluation backend to support Sticky Bucketing. In the case of the GrowthBook Proxy Server, this means implementing a Redis database for sticky bucketing use. You will not need to provide a StickyBucketService instance to the client side SDK.

Caching

The JavaScript SDK has 2 caching layers:
  1. In-memory cache (available on all platforms)
  2. Persistent localStorage cache (only available in browsers by default)
There are a number of cache settings you can configure within GrowthBook. This must be done BEFORE creating a GrowthBook instance. Below are all of the default values. You can call configureCache with a subset of these fields and the rest will keep their default values.

Polyfilling localStorage

Outside of a browser environment, you can still use persistent caching. You just need to provide an implementation of the localStorage interface. Here’s an example of using AsyncStorage within ReactNative:
This must be done BEFORE you call either prefetchPayload or create the first GrowthBook instance.

Experimentation (A/B Testing)

In order to run A/B tests, you need to set up a tracking callback function. This is called every time a user is put into an experiment and can be used to track the exposure event in your analytics system (Segment, Mixpanel, GA, etc.).
Starting in version 1.7.0, the callback receives a third user argument: a TrackingUserContext containing the attributes and optional url used when the experiment was evaluated. We recommend recording attributes from this argument so exposure events consistently reflect the attributes GrowthBook used for targeting and assignment. This same tracking callback is used for both feature flag experiments and Visual Editor experiments.

Feature Flag Experiments

There is nothing special you have to do for feature flag experiments. Just evaluate the feature flag like you would normally do. If the user is put into an experiment as part of the feature flag, it will call the trackingCallback automatically in the background.
If the experiment came from a feature rule, result.featureId in the trackingCallback will contain the feature id, which may be useful for tracking/logging purposes.

Visual Editor Experiments

Experiments created through the GrowthBook Visual Editor will run automatically as soon as their targeting conditions are met. Note: Visual Editor experiments are only supported in a web browser environment. They will not run in React Native or during Server Side Rendering (SSR). If you are using this SDK in a Single Page App (SPA), you will need to let the GrowthBook instance know when the URL changes so the active experiments can update accordingly. For example, in Next.js, you could do this:

URL Redirect Experiments

Similarly to Visual Editor experiments, URL redirect tests will run automatically if targeting conditions are met. If you are using this SDK in a Single Page App (SPA), you’ll want to pass in a custom navigation function into the SDK (as default navigation for URL Redirects uses window.location.replace(url)) and set the navigateDelay to 0.
For SPA’s you will also need to let the GrowthBook instance know when the URL changes so the active experiments can update accordingly.

Sticky Bucketing

Sticky bucketing ensures that users see the same experiment variant, even when user session, user login status, or experiment parameters change. See the Sticky Bucketing docs for more information. If your organization and experiment supports sticky bucketing, you must implement an instance of the StickyBucketService to use Sticky Bucketing. The JS SDK exports several implementations of this service for common use cases, or you may build your own:
  • LocalStorageStickyBucketService — For simple bucket persistence using the browser’s LocalStorage (can be polyfilled for other environments).
  • BrowserCookieStickyBucketService — For simple bucket persistence using browser cookies, which are transportable to the back end. Assumes js-cookie is implemented (can be polyfilled). Cookie attributes can also be configured. The default cookie expiry is 180 days; override by passing expires: {days} into the constructor’s cookieAttributes.
  • Build your own — Implement the abstract StickyBucketService class and connect to your own data store, or custom wrap multiple service implementations (ex: read/write to both cookies and Redis).
Implementing most StickyBucketService implementations is straightforward and works with minimal setup. For instance, to use the BrowserCookieStickyBucketService:

Next.js

If you are using Next.js, checkout our example apps for Next with App Router and Next with Pages Router. The examples above show how to use GrowthBook with a number of different rendering strategies and app setups and the App Router example has been updated to support the latest features in Next 14.

Server Side Rendering (SSR)

This SDK fully supports server side rendering with React.

React Server Components

If your framework supports the new React Server Components (RSC), welcome to the future! GrowthBook works great with modern React. First, if you are running experiments with GrowthBook, you will need to fire analytics tracking calls to record which variation a user is assigned. Analytics tools are often only supported client-side, so you can create a small Client Component first:
The React SDK relies on client-side Context, so for Server Components, you need to import our Javascript SDK @growthbook/growthbook instead.

Hydrating Client Components From the Server

The best part about React Server Components, is that you can easily share feature definitions with your Client Components. By doing this, you avoid any network requests from the browser and any flickering that goes along with that. Let’s first create a GrowthBookWrapper wrapper that takes a payload prop and uses it to initialize a GrowthBook instance:
Now we’ll make a really simple client component using the GrowthBook React SDK:
Now, we can render these from our server component:

Traditional SSR

Before React Server Components, each framework implemented their own way to do data fetching and SSR. This example uses Next.js getServerSideProps method, but other frameworks should be similar. With this approach, feature flags are evaluated once when the page is rendered. If a feature flag changes, the user would need to refresh the page to see it.

Hybrid (SSR + Client-side)

Instead of passing the result of individual feature flags to your component, you can also pass the entire payload. By doing this, you get the benefits of client-side rendering (interactivity, realtime feature flag updates) plus the benefits of SSR (no flickering, improved SEO).
Then, within MyComponent, you can use any of the normal client-side hooks or helper components - useFeatureIsOn, useFeatureValue, etc.

API Reference

There are a number of configuration options and settings that control how GrowthBook behaves.

Attributes

You can specify attributes about the current user and request. These are used for two things:
  1. Feature targeting (e.g. paid users get one value, free users get another)
  2. Assigning persistent variations in A/B tests (e.g. user id “123” always gets variation B)
The following are some commonly used attributes, but use whatever makes sense for your application.

Updating Attributes

If attributes change, you can call setAttributes() to update. This will completely overwrite any existing attributes. To do a partial update, use the following pattern:

Secure Attributes

When secure attribute hashing is enabled, all targeting conditions in the SDK payload referencing attributes with datatype secureString or secureString[] will be anonymized via SHA-256 hashing. This allows you to safely target users based on sensitive attributes. You must enable this feature in your SDK Connection for it to take effect. If your SDK Connection has secure attribute hashing enabled, you will need to manually hash any secureString or secureString[] attributes that you pass into the GrowthBook SDK. To hash an attribute, use a cryptographic library with SHA-256 support, and compute the SHA-256 hashed value of your attribute plus your organization’s secure attribute salt. The example below is using CryptoJS (https://www.npmjs.com/package/crypto-js), which provides a synchronous API.
If you prefer to use a browser native implementation, you will need to await hashing before calling setAttributes since SubtleCrypto methods are async. Here’s an example implementation:

Feature Usage Callback

GrowthBook can fire a callback whenever a feature is evaluated for a user. This can be useful to update 3rd party tools like NewRelic or DataDog.
Note: If you evaluate the same feature multiple times (and the value doesn’t change), the callback will only be fired the first time.

Dev Mode

There is a GrowthBook Chrome DevTools Extension that can help you debug and test your feature flags in development. In order for this to work, you must explicitly enable dev mode when creating your GrowthBook instance:
To avoid exposing all of your internal feature flags and experiments to users, we recommend setting this to false in production in most cases.

Inline Experiments

Depending on how you configure feature flags, they may run A/B tests behind the scenes to determine which value gets assigned to the user. Sometimes though, you want to run an inline experiment without going through a feature flag first. For this, you can use either the useExperiment hook or the Higher Order Component withRunExperiment: View the Javascript SDK Docs for all of the options available for inline experiments

useExperiment hook

withRunExperiment (class components)

Note: This library uses hooks internally, so still requires React 16.8 or above.

TypeScript support

Some hooks are available in type-safe versions. These require you to pass in your generated types as the generic argument. See the GrowthBook CLI documentation for more information on generating type definitions and JavaScript → TypeScript → Strict Typing for how to use them.

useGrowthBook<T>()

A type-safe version of the useGrowthBook() hook is available. Everywhere you use useGrowthBook(), pass the generated features as the generic argument:
In that case, the hook will return GrowthBook<AppFeatures> | undefined. You can reduce this boilerplate by creating your own hook, e.g.:
You can now reference the hook you created instead of the one from the official package:

useFeatureIsOn<T>()

The React SDK also provides access to a type-safe useFeatureIsOn<AppFeatures>() hook.
This will only allow you to pass known keys to the hook. You can reduce the boilerplate for this hook by creating your own and using that instead:
And then reference the hook you created instead of the one from the official package:

Examples

Supported Features