Matplotlib VS Rumprun
Compare Matplotlib VS Rumprun and see what are their differences
One directory for employee information across IT, HR, legal, finance and facilities.
featured
Matplotlib
Pandas
GnuPlot
D3.js
Plotly
NumPy
SciDaVis
Seaborn
Rumprun
unittest
OSv
Criterion
RSpec
Google Test
Linux From Scratch
Cucumber
Matplotlib RumprunBased on our record, Matplotlib seems to be a lot more popular than Rumprun. While we know about 101 links to Matplotlib, we've tracked only 4 mentions of Rumprun. 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.
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 5 days ago
Python (with Matplotlib): A powerful library for creating detailed histograms. - Source: dev.to / 8 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
Matplotlib: for displaying our image result. - Source: dev.to / 3 months ago
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 4 months ago
Wow, just now seeing this topic. I work for a cloud company hosted in AWS. We started out, Netflix/Spotify style microservices. We were all on ec2 images generate by packer (and later with AWS Image Factory). When Docker hit, we kicked the tires but never did anything with it beyond using it for running unit tests, and later, infrastructure tests. 5 years ago, during a hackathon, our little group began... Source: over 1 year ago
> Why not? Most people won't spend the time to learn OS/distro building. I don’t know how good they are and have never used any, but there’s tooling for building the ultimate stripped down kernel, unikernels (https://en.wikipedia.org/wiki/Unikernel) A quick Google gives me https://nanovms.com/, https://github.com/solo-io/unik and https://github.com/rumpkernel/rumprun. - Source: Hacker News / over 2 years ago
Great entrant in the space that is actually usable: https://www.unikraft.org Promising project that's inactive but was one of the first ones I found with reasonable ergonomics and no lock-in to a specific language that I didn't use: https://github.com/rumpkernel/rumprun Unfortunately it looks to be unmaintained as of now, but I expect the examples still work etc (https://github.com/rumpkernel/rumprun/issues/135). - Source: Hacker News / over 2 years ago
Then there is the rumprun unikernel (that runs on qemu and baremetal x86), the sources of which you can find here https://github.com/rumpkernel/rumprun (and some more projects in the github org: https://github.com/rumpkernel). These projects have not been actively maintained for many years. Source: almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
unittest - Testing Frameworks
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
OSv - OSv is an open source project to build the best OS for cloud workloads
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Criterion - A dead-simple, yet extensible, C test framework.