htop
Poetry
htop | Poetry | |
---|---|---|
54 | 377 | |
5,909 | 29,552 | |
1.3% | 1.1% | |
9.4 | 9.7 | |
8 days ago | about 17 hours ago | |
C | Python | |
GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
htop
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Command line tools I always install on Ubuntu servers
Probably everyone knows about the "top" command. Htop is similar, but gives us a more user-friendly output. It shows processes using the most resources, how much available resources you have and who runs those processes. For more information, visit https://htop.dev/
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distro hopping
determine which processes consume specific resources (in your particular case even a "5 minutes session of staring at htop" would do the trick.) (Alternatives: ps -ef, ps aux, top, glances ... )
- some LXC exposing Host CPU Information
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Linux on older hardware as a programmer
When you see the laptop throttling, is htop or another monitoring program showing that the RAM is full, or is it only partly used?
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Arc 80% CPU load!
I like htop to check system resources
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htop VS htop - a user suggested alternative
2 projects | 1 Jun 2023
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c5.large instance - what is my actual CPU usage?
try htop. It's already on Ubuntu, not sure about other flavors.
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Zram and htop
Program it in yourself: https://github.com/htop-dev/htop
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Homebrew
htop is a colour-coded command-line system monitor, process viewer, and process manager. It shows a list of processes running on your computer ordered by CPU usage
- iMac (27-inch, Late 2013) very slow at random times a day
Poetry
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Understanding Dependencies in Programming
You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.
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Implementing semantic image search with Amazon Titan and Supabase Vector
Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:
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From Kotlin Scripting to Python
Poetry
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How to Enhance Content with Semantify
The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:
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Uv: Python Packaging in Rust
Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?
https://github.com/python-poetry/poetry/issues/6409
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Boring Python: dependency management (2022)
Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.
Not sure where I would stand if I fully investigated it tho.
[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...
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Fun with Avatars: Crafting the core engine | Part. 1
We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.
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Python Packaging, One Year Later: A Look Back at 2023 in Python Packaging
Here are the two main packaging issues I run into, specifically when using Poetry:
1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.
2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.
I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.
Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.
[0] https://github.com/python-poetry/poetry/issues/2740
[1] https://github.com/python-poetry/poetry/issues/2184
[2] https://pypi.org/project/pypiserver/
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Introducing Flama for Robust Machine Learning APIs
We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.
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How do you resolve dependency conflicts?
I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github
What are some alternatives?
bpytop - Linux/OSX/FreeBSD resource monitor
Pipenv - Python Development Workflow for Humans.
btop - A monitor of resources
PDM - A modern Python package and dependency manager supporting the latest PEP standards
gotop - A terminal based graphical activity monitor inspired by gtop and vtop
hatch - Modern, extensible Python project management
gtop - System monitoring dashboard for terminal
pyenv - Simple Python version management
vtop - Wow such top. So stats. More better than regular top.
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
glances - Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
virtualenv - Virtual Python Environment builder