python-requests

python-requests
Name	python-requests
Programming language	Python
Operating system	Cross-platform

python-requests

python-requests is a widely used HTTP library for the Python programming language that simplifies making HTTP requests and handling responses. It is designed to provide a user-friendly API for interacting with web services, RESTful APIs, and network resources while integrating with common Python tooling and deployment environments. The project has influenced HTTP client design and is commonly cited in tutorials, technical documentation, and open-source projects.

Overview

python-requests provides a high-level interface to the Hypertext Transfer Protocol and related web standards used by services such as Amazon Web Services, Google Cloud Platform, Microsoft Azure, GitHub, and Twitter. The library abstracts low-level networking details found in implementations like libcurl, urllib3, and OpenSSL and is used across web frameworks and applications including Django (web framework), Flask (web framework), Pyramid (web framework), Celery (software), and Ansible (software). Its design follows patterns seen in client libraries for HTTP/1.1 and HTTP/2 servers and is referenced in documentation for platforms like Heroku and DigitalOcean.

Features

Key features include session management, cookie persistence, SSL/TLS verification, and multipart file uploads. It interoperates with cryptographic libraries such as OpenSSL, and complements tools like pip (package manager), setuptools, and virtualenv. Authentication helpers support protocols and services exemplified by OAuth 1.0, OAuth 2.0, and integrations with identity providers like Okta, Auth0, and Azure Active Directory. The library offers extensibility points similar to middleware in Express (web framework) and adapters used by Requests for Java-style clients.

Usage

Typical usage is concise: constructing requests, inspecting response objects, handling headers, and streaming content for large transfers. Developers incorporate it into projects maintained in repositories hosted on GitHub, versioned according to practices popularized by Semantic Versioning and continuous integration systems such as Travis CI, CircleCI, and GitLab CI/CD. Tutorials and examples appear in resources produced by organizations like Stack Overflow, Mozilla Developer Network, Real Python, and O’Reilly Media.

API and Components

The public API exposes request methods, session objects, and response handling primitives. Core components interact with networking stacks and proxy configurations commonly used in infrastructure managed by Kubernetes, Docker, and Vagrant (software). Error and exception types are handled in a manner consistent with exception hierarchies from Python Software Foundation guidance and CPython implementation details. Integration points allow use with test frameworks such as pytest and unittest (Python).

Performance and Security

Performance considerations involve connection pooling, keep-alive semantics, and efficient streaming to reduce memory footprint when communicating with high-throughput services like Stripe (company), PayPal, and content delivery networks managed by Cloudflare. Security practices include certificate verification, trust-store configuration, and mitigation against threats documented by Open Web Application Security Project and advisories from the National Institute of Standards and Technology. The project responds to vulnerabilities reported through channels used by organizations like GitHub Security Lab and CERT coordination centers.

History and Development

The library's development and release cadence reflect open-source governance models similar to those of projects at Apache Software Foundation and Mozilla Foundation. Contributions come from individual maintainers and organizations, with issue tracking and pull requests managed on platforms such as GitHub and collaborative practices influenced by communities around Linux Foundation projects. Milestones often align with larger language ecosystem events, conference presentations at gatherings like PyCon and EuroPython, and mentions in publications from ACM and IEEE.

Ecosystem and Integrations

An ecosystem of third-party packages, plugins, and wrapper libraries extends functionality for use with services like Amazon S3, Google Drive, Dropbox (service), and payment gateways like Stripe (company). Integrations exist for monitoring and tracing with systems such as Prometheus, New Relic, and Datadog. Bindings and analogues appear in other language communities, for example libraries inspired by its API in JavaScript, Ruby, and Go (programming language) ecosystems.

License and Distribution

Distribution follows conventions of the Python packaging ecosystem via package indexes such as Python Package Index and is installed with tools like pip (package manager). Licensing and contributor agreements follow patterns used by permissively licensed projects hosted on GitHub and enterprises that audit dependencies for compliance with policies from organizations such as Open Source Initiative and legal teams at companies like Red Hat and Microsoft.

Category:Python libraries