Firebase example app download

Use a custom model. Migrate from the legacy API. Label images with your models. Detect objects with your models. Recognize text. Label images. Recognize landmarks. Deprecated Vision SDKs. Advanced Topics. Prepare for Production. Protect your Cloud credentials. Legacy Documentation. ML Kit for Firebase. Detect faces. Scan barcodes. Detect and track objects. AutoML Vision Edge. Natural Language. Identify the language of text. Translate text. Generate smart replies. Use a custom TensorFlow Lite build.

Reduce app package size. Serve dynamic content and host microservices. Cloud Functions. Call functions directly. Trigger background functions. Write functions. Firebase is a complex platform for web and mobile development. The growing popularity of this tool makes Firebase one of the leaders in the industry. Firebase provides plenty of services that can be implemented in your app from authorization system to crash reporting.

A built-in functionality lets you authenticate and authorize users by their emails, Gitlab, Facebook, Twitter and other social media. The implementation is very simple and saves a lot of time you would spend on building an Auth System. Developers are given a choice between Realtime Database and Cloud Firestore. They support offline work, which means that they store the data on your disk and update them whenever you reconnect.

Cloud Firestore is the latest one and it is still in a beta version, but includes lot of automation in building, scaling your database, what was not obvious in the previous one. The new one is more structured — documents, collections and subcollections, which contain other documents, collections and subcollections.

Thanks to this, Firestore provides you with better querying based on multiple conditions. Another big advantage of Cloud Firestore is real-time listener, which streams the updated data whenever it changes.

However, you should keep in mind that Realtime Database has been tested on thousands of apps over the last years and it is still more stable and reliable for sure. Also, it may be cheaper to maintain the data this way. Cloud Storage in Firebase is a very powerful place to keep files in. Storage is high-scalable and strongly secured. Its implementation lets users upload and download images,videos, music etc. This module provides developers with extensive data and measurements about their app usage.

Fully trackable network traffic, requests rate, insight into situation where the performance could be improved. All of them are shown in charts and graphs in relation with the app version. It lets you monitor the action, good and weak points and shows dependency of efficiency in comparison to the app version. If you want to use a monitoring system on your website, please take a look on Hotjar product.

I am going to focus on Web Development. On the homepage, you will be offered to inject a Firebase into your project. Click on that and save config JSON object.

It will be required soon. This quickstart sample demonstrates using Cloud Functions triggered by Firebase Storage events. The function generates a thumbnail of uploaded images. This quickstart sample demonstrates using Cloud Functions triggered by Firebase Auth events. The function sends a Welcome Email when user accounts are created or when users sign-in using an Identity Provider for the first time and sends a Goodbye Email when user accounts are deleted.

This quickstart sample demonstrates using Cloud Functions triggered by PubSub events. The functions log the PubSub payload in a Hello world message. This quickstart demonstrates how to trigger a function in response to the completion of a test matrix in Firebase Test Lab. Here are a few samples that show how you can process or analyze images using Cloud Functions.

This sample demonstrates how to create various customized images such as sparkline or sphere charts through Cloud Functions and Hosting and serve it to the client. Uses an HTTP trigger. Uses a Firebase Storage trigger. Demonstrates how to automatically generate a thumbnail for images that are uploaded to Firebase Storage using ImageMagick and generate a public download link for the images.

Demonstrates how to use Node. Demonstrates how to automatically moderate offensive images that are uploaded to Firebase Storage by using the Google Cloud Vision API to detect offensive images and ImageMagick to blur these images.

Demonstrates how to automatically extract image's metadata using ImageMagick for images that are uploaded to Firebase Storage. These samples show how to implement automatic data consistency such as keeping a count of children, having a max amount of node childs, cleaning up old data etc Tracking when the Firebase Database or a subset was last modified.

Uses a Realtime Database trigger. Keeps track of the number of child nodes of a Firebase Database element allowing clients to filter or order results using the child count.

This can be useful to keep track of the number of "likes" or "followers" of something shared through social media. Makes sure that the number of child nodes stays below a certain threshold. This can be useful to limit the number of lines of logs or chat history below a given number. This sample shows how to remove child nodes older than 2 hours from a Firebase Database list.

This can be useful for removing outdated items from a collection. The sample action asks users to say a number and reads out the ordinal of that number. Demonstrates how to authorize with a 3rd party sign-in mechanism, create a Firebase custom auth token, update the user's profile and authorize Firebase.

Demonstrates how to moderate user input text for bad words. This can be used to moderate usernames, chat or forum messages. Sends email confirmation after users subscribed to a mailing list. Integrates the Google Translate API to perform automatic text translation across any number of languages.

Language codes can be stored in Firebase for on the fly changes. Integrates the Bit. Enable full-text search on Firebase Database data or Firestore documents by using a hosted search service. Uses a Realtime Database or Firestore trigger. Deletes all associated user data in the Realtime database when a user deletes his Firebase account. Uses an Auth trigger.

This sample demonstrates how to sync new data written to a Firebase database to a Google Sheet. Copies Firebase Database elements into BigQuery automatically.

This can be useful for instance for further logs analysis. The content of the modified Data is sent to the Webhook.