DataGrail
OneTrust
LogicGate
CyberGRX
Prevalent ThirdParty Risk Management
Foresite
Gatekeeper
UpGuard
Python
JavaScript
Java
C++
Rust
Ruby
PHP
Elixir
DataGrail is a purpose-built platform for legal and security teams to manage personal data for privacy regulations like the GDPR and California's Privacy Act. In todayโs ever-changing data privacy environment, individuals expect visibility into how their data is used, processed, and sold.
In order to remain competitive, businesses invested in software, resulting in an explosion of systems managing and processing personal data. These systems, particularly in the sales, marketing, and adjacent spaces, were not built to be compliant. We solve this problem.
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Based on our record, Python seems to be a lot more popular than DataGrail. While we know about 299 links to Python, we've tracked only 1 mention of DataGrail. 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.
Visit company website for more information. Source: over 5 years ago
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
OneTrust - Privacy Management Software
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
LogicGate - The LogicGate platform empowers businesses to build agile enterprise process applications that deliver workflow automation and process efficiency
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
CyberGRX - The CyberGRX Exchange and dynamic assessment data and analytics help Enterprises and Third Parties cost-effectively identify, prioritize and mitigate risk.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
