Open Source Unix Shell Software Development Software - Page 3
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Unix Shell Software Development Software
View 5730 business solutionsBrowse free open source Unix Shell Software Development Software and projects below. Use the toggles on the left to filter open source Unix Shell Software Development Software by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. The repository includes all necessary scripts for training, dataset preparation, distributed training, evaluation, and audio separation. -
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kerl
Easy building and installing of Erlang/OTP instances
Easy building and installing of Erlang/OTP instances. Kerl aims to be shell agnostic and its only dependencies, excluding what's required to actually build Erlang/OTP, are curl and git. All is done so that, once a specific release has been built, creating a new installation is as fast as possible. We are supporting the current OTP release version and 2 prior release versions (same as upstream OTP.) Older OTP releases may or may not work. We will advance release support as new releases of OTP become available. Kerl keeps tracks of the releases it downloads, builds and installs, allowing easy installations to new destinations (without complete rebuilding) and easy switches between Erlang/OTP installations. By default, kerl downloads source tarballs from the official repository tags but you can tell kerl to download from the official Erlang website. -
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s6-overlay
s6 overlay for containers (includes execline, s6-linux-utils
s6-overlay is an easy-to-install (just extract a tarball or two!) set of scripts and utilities allowing you to use existing Docker images while using s6 as a pid 1 for your container and process supervisor for your services. -
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EDE
A light desktop environment for UNIX operating systems.
EDE is fast desktop environment with familiar look and feel. It should work fine on slower computers too. -
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YAD
Yet Another Dialog
YAD (yet another dialog) is a tool for create graphical dialogs from shell scripts Mail list - https://groups.google.com/forum/#!forum/yad-common -
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ADR Tools
Command-line tools for working with Architecture Decision Records
A command-line tool for working with a log of Architecture Decision Records (ADRs). ADRs are stored in a subdirectory of your project as Markdown files. The default directory is doc/adr, but you can specify the directory when you initialize the ADR log. Create a directory named doc/architecture/decisions containing the first ADR, which records that you are using ADRs to record architectural decisions and links to Michael Nygard's article on the subject. Create a new ADR file that is flagged as superceding ADR 9, and changes the status of ADR 9 to indicate that it is superceded by the new ADR. It then opens the new ADR in your editor of choice. -
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Docker Gitlab
Dockerized GitLab
Dockerfile to build a GitLab image for the Docker opensource container platform. GitLab CE is set up in the Docker image using the install from source method as documented in the the official GitLab documentation. For other methods to install GitLab please refer to the Official GitLab Installation Guide which includes a GitLab image for Docker. Docker is a relatively new project and is active being developed and tested by a thriving community of developers and testers and every release of docker features many enhancements and bugfixes. Given the nature of the development and release cycle it is very important that you have the latest version of docker installed because any issue that you encounter might have already been fixed with a newer docker release. Install the most recent version of the Docker Engine for your platform using the official Docker releases. -
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Docker Pi-hole
Pi-hole in a docker container
You can run Pi-hole in a container, or deploy it directly to a supported operating system via our automated installer. Our intelligent, automated installer asks you a few questions and then sets everything up for you. Once complete, move onto step 3. Configure your router’s DHCP options to force clients to use Pi-hole as their DNS server, or manually configure each device to use the Pi-hole as their DNS server. By pairing your Pi-hole with a VPN, you can have ad blocking on your cellular devices, helping with limited bandwidth data plans. Instead of browser plugins or other software on each computer, install Pi-hole in one place and your entire network is protected. Network-level blocking allows you to block ads in non-traditional places such as mobile apps and smart TVs, regardless of hardware or OS. Since advertisements are blocked before they are downloaded, network performance is improved and will feel faster. -
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LambdaCD
a library to define a continuous delivery pipeline in code
Abandon your build servers, build your own! With LambdaCD you develop and build pipelines just like your applications: In code, in version control, with tests and refactorings. LambdaCD is a toolbox to enable you to build your own build server. It's got you covered, whether you need ten simple builds or one hugely complex delivery pipeline. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Laradock
Full PHP development environment for Docker
Laradock is a Docker-based development environment for PHP and Laravel applications. It simplifies setting up local development environments with pre-configured services like Nginx, MySQL, Redis, and more. Laradock is designed to be easy to use, making it quick to get started with Laravel, while also offering flexibility to extend and configure services as needed. -
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Notion for Linux
Native Notion packages for Linux
Native Notion packages for Linux, built from Notion's Windows installer. To install Notion with Notion Enhancer mods applied, replace notion-desktop with notion-enhanced in the commands provided. notion-desktop is the vanilla Notion package. notion-enhanced is the Notion package with Notion Enhancer mods applied. Notion Desktop builds with Notion Enhancer for Windows, MacOS and Linux. Direct port of Notion is also available for Linux. -
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Self-Hosted Sentry nightly
Sentry, feature-complete and packaged up for low-volume deployments
In addition to making its source code available publicly, Sentry offers and maintains a minimal setup that works out-of-the-box for simple use cases. This repository also serves as a blueprint for how various Sentry services connect for a complete setup, which is useful for folks willing to maintain larger installations. For the sake of simplicity, we have chosen to use Docker and Docker Compose for this, along with a bash-based install and upgrade script. Environment specific configurations can be done in the .env.custom file. It will be located in the root directory of the Sentry installation. By default, there exists no .env.custom file. In this case, you can manually add this file by copying the .env file to a new .env.custom file and adjust your settings in the .env.custom file. Please keep in mind to check the .env file for changes, when you perform an upgrade of Sentry, so that you can adjust your .env.custom accordingly, if required. -
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Swift Package Dependencies Checker
Catch up with outdated versions based on your package dep requirements
This action process your Package.swift file to detect outdated versions based on your package dependency requirements. Action will fail in case there are outdated dependencies. This can be suppressed by setting the input parameter failWhenOutdated to false. Then use the output parameter outdatedDependencies to know if the action detected any outdated dependencies. By setting isMutating you declare the intention to update Package.resolved (if present). Please note that the action itself does not commit/push changes. The GitHub action is looking in the current directory (.) for the package manifest but you can pass a different path with input parameter directory. Helpful for Monorepos where the Package.swift may not be at the root of the project. When setting isMutating the tool SwiftPackageIndex/ReleaseNotes is used to return release notes URLs for detected, necessary updates. -
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Voyager Mesh
Secure L7/L4 (HAProxy) Ingress Controller for Kubernetes
Voyager is a HAProxy-backed secure L7 and L4 ingress controller for Kubernetes developed by AppsCode. This can be used with any Kubernetes cloud provider including aws, gce, gke, azure, acs. This can also be used with bare metal Kubernetes clusters. Voyager provides L7 and L4 load balancing using a custom Kubernetes Ingress resource. This is built on top of the HAProxy to support high availability, sticky sessions, name and path-based virtual hosting. This also supports configurable application ports with all the options available in a standard Kubernetes Ingress. -
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eduMEET WebRTC meeting service
Multiparty web-meetings using mediasoup and WebRTC
edumeet, multiparty web meetings using mediasoup and WebRTC. -
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goenv
Like pyenv and rbenv, but for Go
goenv aims to be as simple as possible and follow the already established successful version management model of pyenv and rbenv. This project was cloned from pyenv and modified for Go. goenv does let you change the global Go version on a per-user basis. Provide support for per-project Go versions. Allow you to override the Go version with an environment variable. Search commands from multiple versions of Go at a time. At a high level, goenv intercepts Go commands using shim executables injected into your PATH, determines which Go version has been specified by your application, and passes your commands along to the correct Go installation. When you run all the variety of Go commands using go, your operating system searches through a list of directories to find an executable file with that name. This list of directories lives in an environment variable called PATH, with each directory in the list separated by a colon. -
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ievms
Automated installation of the Microsoft IE App Compat virtual machines
Microsoft provides virtual machine disk images to facilitate website testing in multiple versions of IE, regardless of the host operating system. Unfortunately, setting these virtual machines up without Microsoft's VirtualPC can be extremely difficult. The ievms scripts aim to facilitate that process using VirtualBox on Linux or OS X. With a single command, you can have IE6, IE7, IE8 and IE9 running in separate virtual machines. Install network adapter drivers by opening the drivers CD image in the VM. The IE6 network drivers must be installed upon first boot, or an activation loop will prevent subsequent logins forever. If this happens, restoring to the clean snapshot will reset the activation lock. The VHD archives are massive and can take hours or tens of minutes to download, depending on the speed of your internet connection. You might want to start the install and then go catch a movie, or maybe dinner, or both. -
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macOS Simple KVM
Tools to set up a quick macOS VM in QEMU, accelerated by KVM
macOS-Simple-KVM is a project that provides scripts and configuration files to easily set up and run macOS in a virtual machine using QEMU and KVM. It simplifies what is typically a complex process by offering a straightforward approach to creating a macOS VM on Linux systems with hardware virtualization support. The repository includes tools for preparing installation media, configuring virtual hardware, and managing VM launch scripts. By using KVM acceleration, the virtual machine runs with near-native performance, making it useful for testing, development, or personal experimentation. The project also supports GPU passthrough and other advanced configurations for users who want a more optimized macOS VM environment. While primarily intended for educational and testing purposes, it demonstrates how macOS can be virtualized outside of Apple hardware. -
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trust
Travis CI and AppVeyor template to test your Rust crate
Travis CI and AppVeyor template to test your Rust crate on 5 architectures and publish binary releases of it for Linux, macOS and Windows. -
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VPLE
Vulnerable Pentesting Lab Environment
VPLE (Linux) Vulnerable Pentesting Lab Environment VPLE is an Intentionally Vulnerable Linux Virtual Machine. This VM can be used to conduct security training, test security tools, and practice common penetration testing Labs. In VPLE bunch of labs are Available. NOTE:- "Only run in VMWare Pls Don’t run in VirtualBox" The default login and password is administrator: password. List Of All Labs in one VM:- 1. Web-DVWA 2. Mutillidae 3. Webgoat 4. Bwapp 5. Juice-shop 6. Security-ninjas 7. WordPress We are adding more labs in few days🤗 -
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What is DracOS GNU/Linux Remastered ? DracOS GNU/Linux Remastered ( https://github.com/dracos-linux ) is the Linux operating system from Indonesia , open source is built based on Debian live project under the protection of the GNU General Public License v3.0. This operating system is one variant of Linux distributions, which is used to perform security testing (penetration testing). Dracos linux in Arm by hundreds hydraulic pentest, forensics and reverse engineering. Use a GUI-based tools-tools the software using the CLI (command line interface) and GUI (graphical user interface) to perform its operations. Now Dracos currently already up to version 3.1.5 with the code name "KUNTILANAK WITH REMASTERED".
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AWX Operator
An Ansible AWX operator for Kubernetes built with Operator SDK
An Ansible AWX operator for Kubernetes built with Operator SDK and Ansible. -
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Aria2 AriaNg Docker
The Docker image for Aria2 + AriaNg + File Browser + Rclone
One Docker image for file downloading, managing, sharing, as well as video playing and evening cloud storage synchronization. Furthermore, it's pretty small and ARM CPU compatible which means you can also run it on Raspberry Pi. Last but not least, Auto HTTPS can't be more easy. -
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Bats-core
Bash automated testing system
Bats is a TAP-compliant testing framework for Bash. It provides a simple way to verify that the UNIX programs you write behave as expected. A Bats test file is a Bash script with special syntax for defining test cases. Under the hood, each test case is just a function with a description. Bats is most useful when testing software is written in Bash, but you can use it to test any UNIX program. Test cases consist of standard shell commands. Bats makes use of Bash's errexit (set -e) option when running test cases. If every command in the test case exits with a 0 status code (success), the test passes. In this way, each line is an assertion of truth. The Bats source code repository is hosted on GitHub. There you can file bugs on the issue tracker or submit tested pull requests for review. -
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Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform libraries. Modularity and being designed for both scale and mobile deployments are the high-level answers to the first question. In many ways Caffe2 is an un-framework because it is so flexible and modular. The original Caffe framework was useful for large-scale product use cases, especially with its unparalleled performance and well tested C++ codebase. Caffe has some design choices that are inherited from its original use case: conventional CNN applications.
