Search Results for "friction"

...This has led large organizations to create dedicated platform API engineering teams to help teams deliver on business demands. Our goal is to make API development simple: we aim is to remove all friction from the day-to-day of backend developers. Platformatic is a series of Open Source tools to build APIs.

...Instead of remembering port numbers and launch commands, you register apps once and then start, stop, or auto-start them from a central UI. The tool sets up a lightweight reverse proxy so each service gets a nice local domain, reducing friction when switching between multiple apps and APIs. Cross-platform support and a simple configuration format make it easy to onboard a team to a shared local workflow. Because hotel can run commands to boot services on demand, laptops stay quieter and lighter until you actually need a process. It’s especially handy in polyglot repos where Node, Python, or Go services otherwise require bespoke scripts and ports.

Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring distributed training, reproducible experiments, and flexible configuration tools. It offers high performance and scalability—capable of training models like ResNet-50 on ImageNet in just minutes—while remaining accessible to both researchers and production engineers. ...

...Its primary goal is to minimize overhead: startup time, memory usage, and complexity are all kept very low so that developers can write and run tests with minimal friction. The tool supports modern features like async/await and native ES Modules, making it suitable for modern codebases. It also supports running in browser environments, which makes it versatile for frontend and backend alike. The repository includes benchmarking showing how it stacks against other test runners in terms of speed, underscoring its performance orientation. uvu’s API is intentionally minimal and familiar, so developers coming from other test frameworks will feel at home, but the internal design is optimized for speed and simplicity rather than feature bloat.

The Serverless Framework's new infrastructure provisioning technology. Build, compose, & deploy serverless apps in seconds. Easily define your applications as functions and events. Declare AWS Lambda functions and their triggers through simple abstract syntax in YAML. Deploy infrastructure and code with a single command. AWS Lambda functions, triggers & code will be deployed and wired together in the cloud, automatically. Extend your use-cases and workflow with Plugins. Install thousands of...

PWA is a “universal, framework-agnostic PWA builder” developed by Luke Edwards (lukeed) that aims to let developers scaffold progressive web apps with minimal friction across different view frameworks or libraries. Unlike many CLI tools that target a specific framework (React, Vue, Svelte), this project intentionally tries to remain agnostic, supporting presets for Preact, React, Vue, Svelte and even vanilla JS, while offering all the PWA boilerplate you need (service workers, manifest, offline support) right out of the box. ...

...All of these use-cases have views that continuously interact with the user's gestures. These interactions are normally physical in nature, having properties like springiness, friction, elasticity and damping. In order to feel natural on a touch device they need to run at 60 FPS.

...Horizon is extensible, integrates with the Node.js stack, and allows building modern, arbitrarily complex applications. While technologies like RethinkDB and WebSocket make it possible to build engaging realtime apps, empirically there is still too much friction for most developers. Building realtime apps now requires understanding and manually orchestrating multiple systems across the software stack, understanding distributed stream processing, and learning how to deploy and scale realtime systems. The learning curve is quite steep, and most of the initial work involves boilerplate code that is far removed from the primary task of building a realtime app.