Brainboard.co
draw.io
ArchFormation
IaC Genius
Pulumi
Lucidscale
Scalr
Spacelift.io
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Starting from any Cloud Provider (AWS, Microsoft Azure, OCI, Google Cloud),ย Brainboard is an AI driven platform to visually design and manage cloud infrastructure, collaboratively. It's the only solution that automatically generates IaC code for any cloud provider, with an embedded CI/CD.
Brainboard.co
MatplotlibBrainboard.co's answer
Brainboard.co stands out in the cloud infrastructure management space for several compelling reasons:
Brainboard.co's answer
Choosing Brainboard.co over its competitors can be advantageous for several reasons, highlighting its distinct features and benefits in the cloud infrastructure management space:
Brainboard.co's answer
The primary audience for Brainboard.co includes a diverse range of professionals involved in cloud infrastructure management and development, particularly those who may benefit from a no-code, visual approach to infrastructure as code (IaC). This audience can be broadly categorized as follows:
Brainboard.co's answer
The story behind Brainboard.co emerges from a broader narrative about the evolution and ongoing challenges in cloud computing. Here are the key elements that shaped Brainboard's development and objectives:
Brainboard.co's answer
We use Go for backend and React for frontend development. For our own infrastructure, we use Brainboard ;)
Brainboard.co's answer
Engine, Comcast, Figma, Notion, Tata Consultancy services, Washington University, Tyssenkrupp
Based on our record, Matplotlib seems to be a lot more popular than Brainboard.co. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Brainboard.co. 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.
We share exactly the same opinion, that why we created brainboard.co in the first place. Source: about 3 years ago
Https://brainboard.co/ - you can use this site to import your directory and it populates the infra with visuals. I believe you can also deploy from the site as well. Source: about 3 years ago
I've heard good things about brainboard.co. Source: about 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
draw.io - Online diagramming application
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ArchFormation - Visually design AWS infrastructure and generate Terraform code instantly with ArchFormationโstreamline cloud deployment using a no-code, drag-and-drop platform.
NumPy - NumPy is the fundamental package for scientific computing with Python
IaC Genius - AI-powered Terraform generation with real validation and security scanning โ $49/mo
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.