Check out topiary [1] by tweag [2]. It’s a well-crafted project with great potential.
No description available.
References:
[1]: https://github.com/tweag/topiary
[2]: https://github.com/tweag
Publishing rhythm
Check out topiary [1] by topiary [2]. It’s a well-crafted project with great potential.
No description available.
References:
[1]: https://github.com/topiary/topiary
[2]: https://github.com/topiary
nvim-FeMaco.lua [1] by AckslD [2] is a game-changer in its space. Excited to see how it evolves.
Catalyze your Fenced Markdown Code-block editing!
References:
[1]: https://github.com/AckslD/nvim-FeMaco.lua
[2]: https://github.com/AckslD
Check out whisper.cpp [1] by ggml-org [2]. It’s a well-crafted project with great potential.
Port of OpenAI’s Whisper model in C/C++
References:
[1]: https://github.com/ggml-org/whisper.cpp
[2]: https://github.com/ggml-org
I’m impressed by whisper.cpp [1] from ggerganov [2].
Port of OpenAI’s Whisper model in C/C++
References:
[1]: https://github.com/ggerganov/whisper.cpp
[2]: https://github.com/ggerganov
Check out fabulously-optimized [1] by Fabulously-Optimized [2]. It’s a well-crafted project with great potential.
A simple Minecraft modpack focusing on performance and graphics enhancements.
References:
[1]: https://github.com/Fabulously-Optimized/fabulously-optimized
[2]: https://github.com/Fabulously-Optimized
reeses-sodium-options [1] by FlashyReese [2] is a game-changer in its space. Excited to see how it evolves.
Replaces Sodium’s Options Screen
References:
[1]: https://github.com/FlashyReese/reeses-sodium-options
[2]: https://github.com/FlashyReese
Looking for inspiration? chatgpt_commit_message_hook [1] by tom-doerr [2].
Enhance your git [3] workflow using AI-generated commit messages from ChatGPT. Seamless integration for a well-documented commit log.
References:
[1]: https://github.com/tom-doerr/chatgpt_commit_message_hook
[2]: https://github.com/tom-doerr
[3]: /glossary/git/
The work on LazyVim [1] by LazyVim [2].
Neovim config for the lazy
References:
[1]: https://github.com/LazyVim/LazyVim
[2]: https://github.com/LazyVim
If you’re into interesting projects, don’t miss out on oxen-release [1], created by Oxen-AI [2].
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
References:
[1]: https://github.com/Oxen-AI/oxen-release
[2]: https://github.com/Oxen-AI
Oxen [1] by Oxen-AI [2] is a game-changer in its space. Excited to see how it evolves.
Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
References:
[1]: https://github.com/Oxen-AI/Oxen
[2]: https://github.com/Oxen-AI
Check out Kanaries [1] and their project pygwalker [2].
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
References:
[1]: https://github.com/Kanaries
[2]: https://github.com/Kanaries/pygwalker
Check out Kanaries [1] and their project graphic-walker [2].
An open source alternative to Tableau. Embeddable visual analytic
References:
[1]: https://github.com/Kanaries
[2]: https://github.com/Kanaries/graphic-walker
The work on kedro-light [1] by ellwise [2].
No description available.
References:
[1]: https://github.com/ellwise/kedro-light
[2]: https://github.com/ellwise
flake8-eradicate [1] by wemake-services [2] is a game-changer in its space. Excited to see how it evolves.
Flake8 plugin to find commented out or dead code
References:
[1]: https://github.com/wemake-services/flake8-eradicate
[2]: https://github.com/wemake-services
tamton-aquib [1] has done a fantastic job with flirt.nvim [2]. Highly recommend taking a look.
A neovim plugin to work with floating windows.
References:
[1]: https://github.com/tamton-aquib
[2]: https://github.com/tamton-aquib/flirt.nvim
I like mrparoxysms’s [1] project my-blog [2].
No description available.
References:
[1]: https://github.com/mrparoxysms
[2]: https://github.com/mrparoxysms/my-blog
I recently discovered coreutils [1] by uutils [2], and it’s truly impressive.
Cross-platform Rust rewrite of the GNU coreutils
References:
[1]: https://github.com/uutils/coreutils
[2]: https://github.com/uutils
The work on pytest [1] by pytest-dev [2].
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
References:
[1]: https://github.com/pytest-dev/pytest
[2]: https://github.com/pytest-dev
Looking for inspiration? projections.nvim [1] by GnikDroy [2].
A map to your filesystem
References:
[1]: https://github.com/GnikDroy/projections.nvim
[2]: https://github.com/GnikDroy
I came across reflex [1] from reflex-dev [2], and it’s packed with great features and ideas.
🕸️ Web apps in pure Python 🐍
References:
[1]: https://github.com/reflex-dev/reflex
[2]: https://github.com/reflex-dev
pypa [1] has done a fantastic job with bandersnatch [2]. Highly recommend taking a look.
A PyPI mirror client according to PEP 381 http://www.python.org/dev/peps/pep-0381/
References:
[1]: https://github.com/pypa
[2]: https://github.com/pypa/bandersnatch
If you’re into interesting projects, don’t miss out on hatch [1], created by pypa [2].
Modern, extensible Python project management
References:
[1]: https://github.com/pypa/hatch
[2]: https://github.com/pypa
Check out Bowler [1] by facebookincubator [2]. It’s a well-crafted project with great potential.
Safe code refactoring for modern Python.
References:
[1]: https://github.com/facebookincubator/Bowler
[2]: https://github.com/facebookincubator
Check out WaylonWalker [1] and their project lockhart [2].
Lockhart is an AI-powered Python library that generates elegant and efficient code, much like the charming and deceiving wizard Gilderoy Lockhart. It allows developers to effortlessly create impressive code and deceive others with their skills, just as Gilderoy Lockhart deceives others with his charm and wizardry.
References:
[1]: https://github.com/WaylonWalker
[2]: https://github.com/WaylonWalker/lockhart
Check out openai-chatgpt [1] by gmpetrov [2]. It’s a well-crafted project with great potential.
🤖 Use ChatGPT from the terminal
References:
[1]: https://github.com/gmpetrov/openai-chatgpt
[2]: https://github.com/gmpetrov
The work on ruff [1] by astral-sh [2].
An extremely fast Python linter and code formatter, written in Rust.
References:
[1]: https://github.com/astral-sh/ruff
[2]: https://github.com/astral-sh
I came across nanoGPT [1] from karpathy [2], and it’s packed with great features and ideas.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
References:
[1]: https://github.com/karpathy/nanoGPT
[2]: https://github.com/karpathy
Looking for inspiration? carbonyl [1] by fathyb [2].
Chromium running inside your terminal
References:
[1]: https://github.com/fathyb/carbonyl
[2]: https://github.com/fathyb
If you’re into interesting projects, don’t miss out on RecoverPy [1], created by PabloLec [2].
Interactively find and recover deleted or 👉 overwritten 👈 files from your terminal
References:
[1]: https://github.com/PabloLec/RecoverPy
[2]: https://github.com/PabloLec
I’m impressed by pyte [1] from selectel [2].
Simple VTXXX-compatible linux terminal emulator
References:
[1]: https://github.com/selectel/pyte
[2]: https://github.com/selectel
Check out mitosch [1] and their project textual-terminal [2].
A terminal emulator widget for Textual.
References:
[1]: https://github.com/mitosch
[2]: https://github.com/mitosch/textual-terminal
Just starred typescope [1] by pedrovhb [2]. It’s an exciting project with a lot to offer.
A nicer terminal view for your Python type analysis needs.
References:
[1]: https://github.com/pedrovhb/typescope
[2]: https://github.com/pedrovhb
I came across textual-autocomplete [1] from darrenburns [2], and it’s packed with great features and ideas.
Easily add autocomplete dropdowns to your Textual apps
References:
[1]: https://github.com/darrenburns/textual-autocomplete
[2]: https://github.com/darrenburns
If you’re into interesting projects, don’t miss out on syrupy [1], created by syrupy-project [2].
🥞 The sweeter pytest snapshot plugin
References:
[1]: https://github.com/syrupy-project/syrupy
[2]: https://github.com/syrupy-project
Check out git-sim [1] by initialcommit-com [2]. It’s a well-crafted project with great potential.
Visually simulate Git [3] operations in your own repos with a single terminal command.
References:
[1]: https://github.com/initialcommit-com/git-sim
[2]: https://github.com/initialcommit-com
[3]: /glossary/git/
Quickly and easily create new versions of your Python package with the gh release
command. Get the version number, changelog, and
Releasing a new version of your Python package can be a daunting task. You need to make
sure that all the necessary files are included, and that the version number is correct.
But now, with the help of the gh release command, you can make the process much
smoother.
The gh release command allows you to quickly and easily create a new version of your
Python package. All you need to do is provide the version number, the changelog, and the
distribution files. For example, if you wanted to create a new version of your package
with the version number v1.2.3, you could use the following command:
gh release create v1.2.3 -F CHANGELOG.md dist/*.whl dist/*.tar.gz
This command will create a new version of your package with the specified version number, and include the changelog and the distribution files. It’s a great way to make sure that all the necessary files are included in the release, and that the version number is correct.
The gh release command is a great tool for quickly and easily creating new versions of
your Python package. With just a few simple commands, you can make sure that all the
necessary files are included, and that the version number is correct. So if you’re looking
for an easy way to release a new version of your Python package, give the gh release
command a try.
Fix Arch Linux randomly rejecting passwords with one command. Try ‘faillock –user $USER’ to reset login counter and regain access. Quick solution for a smooth computing"
If you’re an Arch Linux user, you may have experienced a frustrating issue where your password is randomly not being accepted by the system. This can be a major inconvenience and can cause a lot of frustration, especially if it happens frequently.
The good news is that there is a simple fix for this issue. The following bash code can be used to fix the problem:
bash faillock --user $USER
This command is used to reset the failed login count for the current user. By running this command, you will be able to reset the system’s login counter and regain access to your account.
It’s important to note that this command should only be used as a temporary solution. If you find yourself frequently having to run this command, it’s likely that there is a deeper issue with your system that needs to be addressed.
In any case, if you’re experiencing problems with your Arch Linux system not accepting your password, give the above command a try and see if it resolves the issue for you.
I like darrenburns’s [1] project rich-pixels [2].
A Rich-compatible library for writing pixel images and ASCII art to the terminal.
References:
[1]: https://github.com/darrenburns
[2]: https://github.com/darrenburns/rich-pixels
I recently discovered eradicate [1] by PyCQA [2], and it’s truly impressive.
Removes commented-out code from Python files
References:
[1]: https://github.com/PyCQA/eradicate
[2]: https://github.com/PyCQA
I came across mason-nvim-dap.nvim [1] from jay-babu [2], and it’s packed with great features and ideas.
No description available.
References:
[1]: https://github.com/jay-babu/mason-nvim-dap.nvim
[2]: https://github.com/jay-babu
pypa [1] has done a fantastic job with pipx [2]. Highly recommend taking a look.
Install and Run Python Applications in Isolated Environments
References:
[1]: https://github.com/pypa
[2]: https://github.com/pypa/pipx
I like sickcodes’s [1] project Docker-OSX [2].
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
References:
[1]: https://github.com/sickcodes
[2]: https://github.com/sickcodes/Docker-OSX
I’m impressed by memray [1] from bloomberg [2].
Memray is a memory profiler for Python
References:
[1]: https://github.com/bloomberg/memray
[2]: https://github.com/bloomberg
I like artempyanykh’s [1] project marksman [2].
Write Markdown with code assist and intelligence in the comfort of your favourite editor.
References:
[1]: https://github.com/artempyanykh
[2]: https://github.com/artempyanykh/marksman
Check out cog [1] by nedbat [2]. It’s a well-crafted project with great potential.
Small bits of Python computation for static files
References:
[1]: https://github.com/nedbat/cog
[2]: https://github.com/nedbat
If you’re into interesting projects, don’t miss out on hatch-fancy-pypi-readme [1], created by hynek [2].
Fancy PyPI READMEs with Hatch
References:
[1]: https://github.com/hynek/hatch-fancy-pypi-readme
[2]: https://github.com/hynek
I’m really excited about d2 [1], an amazing project by terrastruct [2]. It’s worth exploring!
D2 is a modern diagram scripting language that turns text to diagrams.
References:
[1]: https://github.com/terrastruct/d2
[2]: https://github.com/terrastruct
I came across neogen [1] from danymat [2], and it’s packed with great features and ideas.
A better annotation generator. Supports multiple languages and annotation conventions.
References:
[1]: https://github.com/danymat/neogen
[2]: https://github.com/danymat