Requests is a widely-used Python HTTP library that provides a simple, elegant API for making HTTP/1.1 requests. It abstracts away the complexities of urllib3, offering features like session persistence, cookie handling, automatic content decoding, SSL/TLS verification, and various authentication mechanisms (Basic, Digest, OAuth via extensions). The library is designed as a set of loosely coupled modules: the public API (api.py) delegates to a Session object (sessions.py) which manages connection pooling and request defaults; the HTTPAdapter (adapters.py) bridges to urllib3; and models.py defines Request, PreparedRequest, and Response objects. The codebase is well-structured, extensively tested, and follows a feature-freeze policy, focusing on stability and compatibility rather than new features. It is not an application or data research project; it is a pure library distributed via PyPI.
Estela is an open-source web scraping orchestration platform (analogous to Scrapy Cloud) for deploying, scheduling, and monitoring Scrapy-based spider projects on Kubernetes. It consists of a Django REST API backend with Celery for async task management, a React/TypeScript frontend with Ant Design, and a Kafka-based queue consumer for streaming scraped data into MongoDB. Core workflows include project management, spider deployment (Docker image build via Kaniko), job execution with configurable resource tiers, cron scheduling, data persistence settings, and a metering subsystem for usage tracking. The system relies on external dependencies such as Kubernetes, Kafka, MySQL, MongoDB, Redis, and object storage (MinIO/S3). The frontend provides interactive charts, a tour overlay for onboarding, and notification management. While functional and extensible, the codebase shows signs of age (outdated Django/Celery versions, class-heavy React components, duplicate logic in cron expression handling) and has incomplete test coverage.