I've use it instead of Firebase on a 15$ DigitalOcean droplet and saved around ~$150 a month. Managing my own infra does take some extra time, but definitely worth it. The APIs and SDK are also surprisingly much easier to consume than Firebase. Waiting for the cloud version.
Based on our record, AppWrite seems to be a lot more popular than Apple Machine Learning Journal. While we know about 170 links to AppWrite, we've tracked only 6 mentions of Apple Machine Learning Journal. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Appwrite is a comprehensive Backend as a Service (BaaS) platform designed to help developers build and scale applications quickly and efficiently. Whether you're a solo indie hacker or part of a growing startup, Appwrite provides the essential features you need—database management, authentication, storage, and cloud functions—all in one unified platform. - Source: dev.to / 4 days ago
Serverless apps or apps without a backend or app that controls your backend, all are the same and for frontend and backend devs Firebase and Supabase are quite useful and trending along with other serverless databases such as Appwrite and PocketBase. - Source: dev.to / 12 days ago
Appwrite - for authenticating users, as well as saving and retrieving product details. - Source: dev.to / 29 days ago
If you haven't tried Appwrite, make sure you give it a spin. It's a open source backend that packs authentication, databases, storage, serverless functions, and all kinds of utilities in a neat API. Appwrite can be self-hosted, or you can use Appwrite Cloud starting with a generous free plan. - Source: dev.to / 3 months ago
What is Appwrite? Appwrite is an open-source backend server that abstracts the complexity of backend development, allowing developers to focus on building their applications. It provides a wide range of services including databases, storage, functions, and authentication, all designed to work seamlessly together. This integration simplifies the development process, reducing the need for extensive configuration... - Source: dev.to / 3 months ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
Supabase - An open source Firebase alternative
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Next.js - A small framework for server-rendered universal JavaScript apps
Lobe - Visual tool for building custom deep learning models