Rumprun
OSv
unittest
Criterion
Google Test
Vitest
Ghost Inspector
WebdriverIO
Matplotlib
Pandas
GnuPlot
NumPy
Plotly
Seaborn
D3.js
SciDaVis
Rumprun MatplotlibNo features have been listed yet.
Based on our record, Matplotlib seems to be a lot more popular than Rumprun. While we know about 110 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.
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: almost 3 years 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 3 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 / almost 4 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: about 4 years 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, A…. - Source: dev.to / 14 days ago
Matplotlib is Python's visualization standard:. - Source: dev.to / 3 months ago
Matplotlib is a foundational and incredibly versatile plotting library in Python, making it a go-to choice for many data scientists and analysts. While many data visualization libraries exist, Matplotlib offers some significant advantages that make it indispensable. - Source: dev.to / 4 months ago
Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / 6 months ago
Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 10 months ago
OSv - OSv is an open source project to build the best OS for cloud workloads
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.
Criterion - A dead-simple, yet extensible, C test framework.
NumPy - NumPy is the fundamental package for scientific computing with Python