Antigravity (Google)
Antigravity is an agentic software development platform from Google, launched in public preview on 18 November 2025 alongside the release of gemini 3 pro.
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Antigravity is an agentic software development platform from Google, launched in public preview on 18 November 2025 alongside the release of gemini 3 pro.
Firebase is a backend-as-a-service (BaaS) platform developed by Google. It began in 2012 as a real-time database product launched by Andrew Lee and James Tamplin and was acquired by Google on October 21, 2014.
Gemini CLI is an open-source, terminal-based AI agent developed by Google that brings Gemini models directly into the command line for coding, file editing, shell automation, and research grounded in real-time…
Google AI Studio is Google's free, web-based developer tool for prototyping with the Gemini family of models and getting a Gemini API key in seconds.
Jules is an autonomous AI coding agent developed by Google under Google Labs, designed to perform software development tasks asynchronously inside secure cloud virtual machines.
MediaPipe is an open-source, cross-platform framework from Google for building on-device machine learning pipelines that process video, audio, and other streaming data in real time.
Pallas is an experimental extension to JAX that lets users write custom hardware kernels in Python and lower them to both Tensor Processing Units and NVIDIA GPUs from a single source.
Project IDX is an experimental, browser-based cloud development environment built by Google.
TensorFlow Decision Forests (often abbreviated TF-DF) is an open-source Google library for training, serving, and interpreting decision-forest models such as Random Forest and Gradient Boosted Decision Trees…
TensorFlow Lite, rebranded as LiteRT (short for Lite Runtime) on September 4, 2024, is Google's open-source, on-device inference runtime that runs trained machine-learning models locally on mobile, embedded…
TensorFlow.js (often abbreviated TFJS) is an open-source JavaScript library developed by Google for defining, training, and running machine learning models entirely in the web browser, in Node.js, and on…