
BetterCloud
Puppet Enterprise
Terraform
Packer
Rancher
Red Hat OpenShift
HHVM
RunDeck
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
BetterCloud
MatplotlibBased on our record, Matplotlib seems to be a lot more popular than BetterCloud. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of BetterCloud. 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.
Also for my last employer, I contributed to their private repo by building a web app that can allow People team to orchestrate IT on/off boarding tasks similar to a tool like (BetterCloud) but built in house. Source: almost 4 years ago
It's also called "SaaS management" or "software asset management" e.g. zylo.com bettercloud.com or blissfully.com. Source: over 4 years ago
Many mid-to-large sized organizations use BetterCloud to manage their Google Workspaces. If you use many SaaS products, you can probably manage most of them through their platform. Source: 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
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.
NumPy - NumPy is the fundamental package for scientific computing with Python
Packer - Packer is an open-source software for creating identical machine images from a single source configuration.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.