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What is waiting?

Waiting is a lightweight library crafted to simplify the task of waiting for certain conditions to be fulfilled. It essentially halts execution until a specified function evaluates to True, providing a variety of operational modes to choose from. Furthermore, Waiting integrates smoothly with flux for simulating timelines, making it even more versatile. The most straightforward way to use it involves supplying a function for monitoring, and it is easy to wait indefinitely; if your predicate produces a result, that result becomes the output of wait(). Additionally, you can establish a timeout period, and if this time elapses without the predicate being satisfied, an exception will be raised. By default, the library checks the predicate every second, but this interval can be modified using the sleep_seconds parameter. When working with multiple predicates, Waiting presents two effective aggregation methods: any and all. These methods resemble Python's built-in any() and all(), but they ensure that a predicate is not called more often than necessary, which is especially advantageous for predicates that are resource-heavy and time-consuming. By optimizing these functions, Waiting significantly improves both the efficiency of asynchronous operations and the overall user experience, making it an essential tool for developers. In summary, this library not only simplifies waiting processes but also enhances performance through its thoughtful design.

What is Cruxi?

Cruxi is a dedicated vertical AI platform tailored for teams engaged in the regulatory landscape of medical devices. It adeptly handles a range of resources, such as FDA regulations, guidance documents, product codes, standards, MAUDE events, recalls, and historical 510(k) submissions, to optimize workflows associated with 510(k), De Novo, and eSTAR applications. Users gain the advantage of swiftly classifying devices, assessing predicates, formulating evidence strategies, and creating thoroughly referenced content that meets eSTAR requirements for every component of their submission. The platform not only facilitates comprehensive submission workflows but also includes specialized micro-services like classification, predicate analysis, and drafting particular sections. This adaptability renders Cruxi especially beneficial for early-stage startups, internal regulatory teams, and consultants, allowing them to generate high-quality submissions while significantly reducing manual labor and minimizing unexpected issues with the FDA. By simplifying the regulatory submission journey, Cruxi ultimately assists organizations in effectively navigating the intricate landscape of compliance and ensuring timely market access for their devices. Consequently, this leads to improved efficiency and increased confidence in regulatory processes.

Media

Media

Integrations Supported

Python

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Credit-based system

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Python Software Foundation

Company Location

United States

Company Website

pypi.org/project/waiting/

Company Facts

Organization Name

Cruxi

Date Founded

2024

Company Location

United States

Company Website

cruxi.ai

Categories and Features

Component Libraries

Not specified

Categories and Features

Medical Affairs

Not specified

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