Open Source PHP Software for Mac

PHP Software for Mac

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Browse free open source PHP Software for Mac and projects below. Use the toggles on the left to filter open source PHP Software for Mac by OS, license, language, programming language, and project status.

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  • 1
    Proxy yxorP

    Proxy yxorP

    Proxy 🦄 .yxorP [v2.1] Plug & Play Stateful SAAS(y), Multi-tenancy

    yxorP is a plug-and-play, flat-file application that does not need Composer, PHP CURL, or databases; these are all optional additions that are fully supported. yxorP is intended to act as a proxy that can edit or update the content of multiple websites using a PHAR (PHP archive) binary version of Guzzle, and managed via a user-friendly Cockpit backend (GUI). The incoming request hostname is used to fetch site-specific requirements from the backend, the target website is then retrieved and modified accordingly. Additionally, the website content can be optionally spun using the article spinning engine that is already embedded into the application. After the website has been modified the result is then stored for a predefined time inside a custom-built, flat-file cache system architectured to be 500x faster than memory-based cache systems such as Memcache and Redis. This is accomplished by bypassing the serialisation and deserialization processes, which resulted a significantly faster
    Downloads: 2 This Week
    Last Update:
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  • 2
    Reviactyl Panel

    Reviactyl Panel

    Next-Gen Pterodactyl Fork. Compatible with Blueprint* and Pterodactyl

    Reviactyl is a fast, modern, & open-source game server management panel built with PHP, React, and Go. Designed with security in mind, Reviactyl runs all game servers in isolated Docker containers while exposing a beautiful and intuitive UI to end users. Manage Game Servers like Never Before! Documentation: https://reviactyl.dev/docs/
    Downloads: 3 This Week
    Last Update:
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  • 3
    Crawlab

    Crawlab

    Distributed web crawler admin platform for spiders management

    Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). Tasks are scheduled by the task scheduler module in the master node, and received by the task handler module in worker nodes, which executes these tasks in task runners. Task runners are actually processes running spider or crawler programs, and can also send data through gRPC (integrated in SDK) to other data sources, e.g. MongoDB.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Standard Webhooks

    Standard Webhooks

    The Standard Webhooks specification

    Standard Webhooks is a community-driven specification and set of open-source tools designed to make webhooks consistent, secure, and interoperable across providers. The project defines strict guidelines covering aspects like signature formats, headers, timestamps, replay protection, and forward compatibility. It includes reference implementations for signature verification and signing across multiple languages such as Python, JavaScript/TypeScript, Go, Rust, Ruby, PHP, C#, Java, and Elixir, along with additional community SDKs. The initiative is guided by a technical steering committee with members from companies like Zapier, Twilio, Mux, ngrok, Supabase, Svix, and Kong. Standard Webhooks matters because it eliminates the fragmentation of webhook implementations, reducing consumer effort and enabling seamless verification in apps or even directly in API gateways. By unifying best practices, it improves developer experience, enhances security, and enables new ecosystem tools.
    Downloads: 0 This Week
    Last Update:
    See Project
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  • 5
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
    Downloads: 0 This Week
    Last Update:
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