xkcoding/shiny-telegram

Spring Boot is an opinionated layer on top of Spring that handles the boilerplate you'd otherwise write for every project — auto-configuration for embedded servers, security, metrics, and health endpoints — so you can ship a runnable JAR with `java -jar` without touching XML. The trade-off is that you're buying into Spring's conventions hard; when your requirements genuinely diverge from the defaults, the "get out of the way" promise only goes so far and you're still digging through Spring's layered configuration model. It genuinely skips code generation and XML, which is rare for a framework this feature-complete, and the Gradle-based build with JDK 25 requirement tells you this is aimed at teams with a modern JVM already in place.

Hoppscotch is an open-source API development ecosystem, built in TypeScript and licensed under MIT, that serves as a web-based client for interacting with APIs. It offers PWA, desktop, and CLI options via add-ons, positioning itself as an alternative to commercial tools like Postman. It handles a wide range of protocols including HTTP (supporting all standard and custom methods), WebSocket, Server-Sent Events, Socket.IO, MQTT, and GraphQL. Developers can define requests with various authorization types (Basic, Bearer, OAuth 2.0, OIDC), custom headers, and parameters, and craft request bodies in formats like FormData or JSON. The tool includes features like Pre-Request Scripts and Post-Request Tests using JavaScript, environment variables, and organized collections with nested folders for managing API calls. For collaboration, it supports teams with shared collections, role-based access, and workspaces, along with a proxy mode to address CORS issues or access non-HTTPS endpoints. It also provides cloud sync for data across devices and a customizable UI with theming and keyboard shortcuts.

Public APIs is a community-curated GitHub repository listing free, publicly accessible APIs across a wide range of categories, with auth type, HTTPS, and CORS noted for each entry. It's a browsable reference, not a library to install.

Awesome Python is a curated list maintained at vinta/awesome-python that groups Python frameworks, libraries, tools, and other resources into 14 categories, from AI & ML to Security and Other. The README calls it an opinionated guide rather than an exhaustive one, and points readers to a companion site, awesome-python.com, for searching and filtering entries instead of scrolling the raw file.