ipython_memory_usage
yadm
ipython_memory_usage | yadm | |
---|---|---|
1 | 82 | |
363 | 4,792 | |
- | - | |
4.4 | 2.4 | |
21 days ago | 3 months ago | |
Jupyter Notebook | Python | |
MIT License | GNU General Public License v3.0 only |
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.
ipython_memory_usage
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Ask HN: What are some tools / libraries you built yourself?
Years back I built IPython Memory Usage[0] which shows how much RAM and time was used per cell in Jupyter Notebooks (and originally the IPython shell). This is very useful for diagnosing why some Pandas and NumPy operations use a lot of RAM [1] which can also point at slow-downs, so you can compare different approaches to find more efficient solutions rather than randomly trying stuff until something no longer breaks.
0: https://github.com/ianozsvald/ipython_memory_usage
1: https://github.com/ianozsvald/ipython_memory_usage/blob/mast...
yadm
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Dotfiles: Unofficial Guide to Dotfiles on GitHub
I'm using yadm for some years now, which works really well:
https://github.com/TheLocehiliosan/yadm
- Yadm: Yet Another Dotfiles Manager
- YADM: Yet Another Dotfiles Manager
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
Everyone hand-rolls their own dotfile management system, but YADM already does everything you need:
https://yadm.io/
- Yet Another Dotfiles Manager
- Tell HN: My Favorite Tools
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Dotfiles Matter
I've been working around this using tools built on top of git like [yadm](https://github.com/TheLocehiliosan/yadm) and relying on `ls-files` to list all my tracked dotfiles and their paths.
Still having everything in one place would make things much simpler. Great idea!
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System settings that aren’t in System Settings
I wonder if the program i use to manage my dotfiles could help manage your scripts and extend your setup to all your desktops? Its called yadm (https://yadm.io/) it makes it so easy to have a laptop and a desktop or two.
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The right way to keep config files synced across devices?
I really like that one but still prefer yadm because you can just edit your files as usual and then yadm add them wherever you are.
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Just got a new M2 Pro after my 2016 became outdated. What are your first steps to setting up a new computer?
If you haven’t already, this is the time to install a tool like yadm and get your computer configuration into version control. Your command-line tools can be managed by yadm directly, your system settings can mostly be managed with a yadm bootstrap script that runs things like defaults write, and the software you install can be managed with a Brewfile that the yadm bootstrap script uses to install software with Homebrew. Don’t manually download Xcode, use xcodes to do it.
What are some alternatives?
vaku - vaku extends the vault api & cli
GNU Stow - GNU Stow - mirror of savannah git repository occasionally with more bleeding-edge branches
gazpacho - 🥫 The simple, fast, and modern web scraping library
chezmoi - Manage your dotfiles across multiple diverse machines, securely.
Zip Foundation - Effortless ZIP Handling in Swift
Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]
kondo - Cleans dependencies and build artifacts from your projects.
dotbot - A tool that bootstraps your dotfiles ⚡️
htmx - </> htmx - high power tools for HTML
homesick - Your home directory is your castle. Don't leave your dotfiles behind.
tera - A template engine for Rust based on Jinja2/Django
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.