#Linux

Logo of rvc-webui
rvc-webui
The RVC-WebUI project provides an accessible voice conversion interface for Windows, Linux, and Mac, requiring environment setup with Windows 10, Python 3.10.9, and torch 2.0.0+cu118. Detailed troubleshooting instructions for Microsoft Visual C++ 14.0 support smooth installation. This collaborative project builds on existing innovations to enhance voice conversion functionalities with straightforward setup guides.
Logo of embiggen-disk
embiggen-disk
Embiggen-disk streamlines live filesystem resizing without user intervention by adjusting LVM LV, PV, and partition tables like MBR or GPT. It supports Linux environments and ext4 filesystems with Go 1.7+ and Linux 3.6+. Suitable for amd64 Linux system users aiming for efficient disk management. It's advisable to audit code or take disk snapshots for data safety.
Logo of .tmux
.tmux
.tmux offers an adaptable configuration file designed to enhance tmux usage across Linux, Mac, OpenBSD, Cygwin, and WSL environments. Key features include a Powerline-inspired visual theme, SSH/Mosh-aware status lines, and mouse mode control, all tailored to enrich the terminal experience. The configuration allows for customizable key bindings and integrates tools such as Facebook PathPicker and Urlscan. It supports Powerline symbols and utf-8 locales, providing an extensive experience for users of all levels, along with detailed documentation for troubleshooting and personalization.
Logo of fancy-git
fancy-git
FancyGit enhances terminal interactions by displaying essential git information for Linux and Mac OS users. It helps maintain productivity by providing real-time updates on branch statuses. Easy to install with diverse themes and configurations, FancyGit caters to developers' preferences, offering aesthetic color schemes and adaptable git settings.
Logo of procfs
procfs
Provides an interface for the Linux /proc pseudo-filesystem to facilitate process and memory management. Offers practical examples like retrieving running processes and checking current process memory usage. Features optional integrations such as chrono, flate2, and backtrace, and supports serde1 for serialization. Aims for full /proc file access to enhance Linux system monitoring and debugging. Licensed under Apache 2.0 and MIT.
Logo of gollama
gollama
Discover a versatile tool designed for macOS and Linux that facilitates managing Ollama models through a user-friendly text interface. Capabilities include listing, inspecting, and modifying models, along with sorting and filtering them using shortcut keys. It allows linking models to LM Studio and offers options for copying, renaming, and registering them. Furthermore, it estimates vRAM usage and helps clean obsolete models, making it an evolving and handy solution for developers managing large-scale models efficiently.
Logo of btop
btop
Btop++ provides Linux, macOS, and BSD users with a resource monitoring tool that displays detailed statistics for processors, memory, disks, networks, and processes. It includes support for Intel GPUs and NetBSD, building upon bashtop and bpytop to enhance monitoring capabilities. The tool features a user-friendly interface with mouse support and customizable themes. Recent updates include GPU monitoring, expanding functionality for developers and tech enthusiasts seeking insights for effective system management.
Logo of pystack
pystack
PyStack utilizes enhanced debugging methods to examine stack frames of active Python processes and core dumps. Designed to aid developers in troubleshooting without delving into complex CPython details, PyStack offers compatibility with processes and core dumps, includes GIL status insights, and provides visibility into native function calls. It's considered safe, efficient, and standalone, making it a preferred tool for debugging Python on Linux.
Logo of HOTDOG
HOTDOG
This project provides a lightweight multilib Linux system rooted in Slackware64, characterized by vintage computing interfaces like Windows 3.1 and Amiga. It functions without systemd or NetworkManager, emphasizing low DPI displays and intentionally lacks Unicode support. The system fosters a nostalgic atmosphere using a custom Objective-C framework, with options for GNUstep Objective-C runtime as an alternative. Suitable for those intrigued by unique graphical environments and minimal system demands, offering installation choices and interfaces for USB and virtual setups.
Logo of zpoline
zpoline
zpoline presents a system call hook for Linux, surpassing ptrace by 100 times in speed and guaranteeing comprehensive system call interception without user-space code or kernel modification. Utilizing in-memory binary rewriting rather than altering program binaries, it proves reliable beyond conventional methods. Designed for x86-64, zpoline relies on libopcodes from binutils, employing trampoline code at virtual address 0 to substitute syscall instructions. Setup is straightforward with LD_PRELOAD, allowing the integration of personalized hook functions for efficient system call monitoring, as illustrated in provided examples.
Logo of self-llm
self-llm
The 'self-llm' project provides a step-by-step tutorial on using open-source large language models tailored for beginners in China. Focusing on Linux platforms, it covers environment setup, local deployment, and various fine-tuning techniques, including LoRA and ptuning, for models such as LLaMA and ChatGLM. This resource aims to assist students and researchers in understanding and applying these tools effectively in their studies and projects, while also welcoming community contributions to enrich this collaborative open-source initiative.
Logo of hello_tf_c_api
hello_tf_c_api
This comprehensive guide details the execution of TensorFlow C API across Windows, Linux, and macOS. It includes practical examples such as loading graphs and tensors, initiating sessions, and image processing. Constructive instructions with clear commands for each OS are provided, alongside guidance to obtain TensorFlow libraries from the official portal or via source compilation. Detailed linking steps ensure seamless integration, rendering this guide an invaluable asset for developers utilizing TensorFlow C API.
Logo of impala
impala
Discover Impala, an efficient tool for managing Wi-Fi on Linux systems using iwd. With various installation options, it offers customizable keybindings for improved usability, enabling seamless network scanning and device control, all under GPLv3 license.
Logo of do-agent
do-agent
do-agent enables the collection and transmission of droplet metrics to DigitalOcean, offering resource monitoring and alerting across various Linux distributions such as Ubuntu, Debian, Fedora, CentOS, and Docker. Its user-friendly installation via package managers and scripts enhances system insight. SELinux users should adjust the 'nis_enabled' setting for optimal performance, and the agent can operate as a Docker container by mounting host directories. Supporting development in Go and Docker, do-agent aids in maintaining system performance efficiently.
Logo of heaptrack
heaptrack
Heaptrack is a Linux memory profiler tracing all allocations, helping to optimize memory usage and detect leaks. Utilize simple commands for new or active processes, and enjoy profiling on embedded systems. Its GUI, compatible with Qt 5 and KDE, facilitates insightful data analysis, surpassing Valgrind with lower overhead and detailed insights. Suitable for Rust binaries with minimal setup.
Logo of gpt-home
gpt-home
Leverage the power of Raspberry Pi and OpenAI to enhance your home automation system. This project seamlessly integrates with devices including Spotify, Philips Hue, and OpenWeatherMap to efficiently handle alarms, reminders, and more. Perfect for DIY enthusiasts, it comes with comprehensive schematics and setup instructions. Features include general knowledge access, translation services, music control, and lighting management through versatile Docker solutions on Linux.
Logo of entr
entr
Entr is a utility designed for executing commands in response to file changes without relying on polling, utilizing kqueue and inotify for optimal performance. Compatible with BSD, Mac OS, and Linux, it offers Docker and WSL support with special settings. Developers can automate server reloads and execute complex commands efficiently, fostering improved workflow. Simple installation and configuration make it suitable for dynamic environments, with support for monitoring symlink changes. Stay informed on new releases through its Atom feed for ongoing updates and enhancements.
Logo of taskwarrior
taskwarrior
Taskwarrior is a powerful open-source command-line tool for task management, featuring detailed documentation and a broad array of tools and extensions. Its compatibility across Linux, Mac OS, and Windows makes it versatile for various environments. As a community-driven project, it accepts code contributions and fosters active discussions to enhance user experience. Easy installation and extensive support options are available for those interested in improving their task management processes.
Logo of nativelink
nativelink
NativeLink is an efficient build cache and remote execution system that enhances software compilation and testing processes while reducing infrastructure costs. By employing advanced caching and distributing tasks across multiple machines, it improves efficiency even for incremental updates, suitable for projects of all sizes. Handling over a billion requests monthly from clients like Samsung, it significantly cuts developer iteration times. Compatible with Unix and Windows, and integrates smoothly with tools like Bazel and Buck2. Offered free for individuals and open-source projects, it is available as a Docker image or through NativeLink Cloud.
Logo of knowhere
knowhere
This guide offers detailed instructions for compiling a C++ project from source, specifically designed as an internal core for Milvus. It invites contributions from developers, especially those using Ubuntu, CentOS, and macOS systems. The document outlines system prerequisites, package installation, source code assembly, and testing procedures. Furthermore, it includes steps for creating Python wheels, performing clean-up tasks, and executing pre-commit checks. This comprehensive guide assists developers in enhancing their Knowhere building experience, promoting cross-platform support and collaborative progress without bias.