Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Requests is an elegantly designed library for HTTP that simplifies the process of sending HTTP/1.1 requests. It eliminates the hassle of manually appending query strings to URLs or encoding data for PUT and POST requests; instead, it encourages users to leverage the convenient JSON method. Currently, Requests boasts an impressive weekly download rate of approximately 30 million, making it one of the most popular Python packages, and it is utilized by over 1,000,000 repositories on GitHub, which solidifies its reliability and trustworthiness. This powerful library is readily accessible through PyPI and is equipped to meet the demands of building robust and efficient HTTP applications for modern requirements. It features automatic content decompression and decoding, support for international domains and URLs, as well as sessions that maintain cookie persistence. Additionally, it offers browser-style TLS/SSL verification, basic and digest authentication, and cookies that behave like familiar dictionaries. Users can also take advantage of multi-part file uploads, SOCKS proxy support, connection timeouts, and streaming downloads, ensuring a comprehensive toolkit for developers. Overall, the Requests library stands as a testament to simplicity and effectiveness in web communication.
Description
Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.
API Access
Has API
No
API Access
Has API
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/requests/
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/waiting/