Secureframe
Vanta
Drata
Sprinto
OneTrust
Deel
Hyperproof
Probo
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Secureframe MatplotlibSecureframe is recommended for startups, small to medium-sized businesses, and enterprises seeking an efficient way to manage compliance obligations, particularly those in the technology, finance, and healthcare sectors that need to comply with strict security regulations.
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Based on our record, Matplotlib seems to be a lot more popular than Secureframe. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Secureframe. 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.
Secureframe | Remote (Canada) | https://secureframe.com | 150-200k CAD Secureframe helps company get compliant and build trust with their customers. We do this by integrating in a companies core SaaS tools, ingesting data, and then displaying all misconfigurations that need to be remediated for a given security framework. Stack is Rails/React/Typescript/Postgres/Elasticsearch We've got three open engineering roles... - Source: Hacker News / over 1 year ago
My org is in a position where we'll need to get SOC II or ISO 27001 certified in the next year. I've been doing some research on the easiest way to go about this, and discovered secureframe (https://secureframe.com/). It looks like it is a platform that helps you automate/track some of the compliance tasks, but doesn't actually do the audit (they have partners that work through the platform). I'm wondering if... Source: over 3 years ago
Hi, founder of Secureframe (https://secureframe.com) here. Secureframe helps streamline compliance across SOC 2, ISO 27001, HIPAA, PCI DSS, and more. There are so many accurate responses in this thread. Like many have mentioned, SOC 2 is indeed not a prescriptive framework. Much of the confusion behind SOC 2 stems from that fact. It allows you to customize your InfoSec program to your company's needs. As we know,... - Source: Hacker News / over 4 years ago
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Vanta - Automate compliance, simplify security.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Drata - Put SOC 2 Compliance on Autopilot
NumPy - NumPy is the fundamental package for scientific computing with Python
Sprinto - SOC 2 security compliance for SaaS
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
