Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
GxPReady! Suite
Gage Control Software
Calibration Studio
GageList
Calspex
QC-Pro Gage Management
QMSys GUM
Calibrate
GxPReady! Suite is a low-cost, purpose-built SaaS platform for managing calibration, preventive maintenance, assets, and validation activities in regulated life-science environments. It is designed specifically for small and growing pharmaceutical, biotech, medical device, and laboratory organizations that need to meet FDA, EMA, and global GxP expectations without the cost or complexity of enterprise systems.
Unlike generic CMMS or EAM tools that require extensive configuration to achieve compliance, GxPReady is built with compliance embedded from the start. The platform supports FDA 21 CFR Part 11 and EU GMP Annex 11 requirements through secure user access, role-based permissions, electronic records, and computer-generated audit trails. All regulated actions are time-stamped, traceable, and preserved in an inspection-ready format.
GxPReadyโs core functionality includes calibration management, preventive maintenance, asset and equipment tracking, and validation support. Teams can schedule and document calibrations, manage PM tasks, track complete equipment histories, and store controlled documentation in one system. Records are organized the way regulators expect to see them, reducing audit preparation effort.
The platform features Flash Validationโข, a practical, risk-based approach that enables rapid deployment and fast uptime to a validated state. Customers can be operational in days rather than months, without large implementation projects or ongoing consulting dependency.
Delivered as a secure, cloud-based solution, GxPReady minimizes IT burden and scales as organizations grow. Transparent, affordable pricing and the absence of long-term contractual obligations make it a low-risk option for regulated teams modernizing from spreadsheets or paper-based systems.
Learn more at www.gxpready.com
Python GxPReady! SuiteBased on our record, Python seems to be more popular. It has been mentiond 299 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 2 months ago
For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 2 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 3 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Gage Control Software - Calibration
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Calibration Studio - Calibration Management and Calibration
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
GageList - Simple online calibration software
