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Free open source alternatives for macOS

Browse free and open source software that runs on macOS. Find open-source alternatives, compare features, platforms and pricing, and pick the right macOS tool for you.

lnmp logo
LEMP stack/LAMP stack/LNMP stack installation scripts for CentOS/Redhat Debian and Ubuntu This script is written using the shell, in order to quickly deploy LEMP / LAMP / LNMP / LNMPA / LTMP (Linux, Nginx/Tengine/OpenResty, MySQL in a production environment/MariaDB/Percona, PHP, JAVA), applicable to RHEL 7, 8, 9(including CentOS,RedHat,AlmaLinux,Rocky), Debian 9, 10, 11, 12, Ubuntu 16, 18, 20, 22, 24 and Fedora 27+ of 64. Script properties: Continually updated, Provide Shell Interaction and Autoinstall Source compiler installation, most stable source is the latest version, and download from the official site Some security optimization Providing a plurality of database versions (MySQL-8.4, MySQL-8.0, MySQL-5.7, MySQL-5.5, MariaDB-11.4, MariaDB-10.11, MariaDB-10.5, MariaDB-5.5, Percona-8.4, Percona-8.0, Percona-5.7, Percona-5.5, PostgreSQL, MongoDB) Providing multiple PHP versions (PHP-8.4, PHP-8.3, PHP-8.2, PHP-8.1, PHP-8.0, PHP-7.4, PHP-7.3, PHP-7.2, PHP-7.1, PHP-7.0, PHP-5.6, PHP-5.5, PHP-5.4, PHP-5.3) Provide Nginx, Tengine, OpenResty, Apache and ngx_lua_waf Providing a plurality of Tomcat version (Tomcat-10, Tomcat-9, Tomcat-8, Tomcat-7) Providing a plurality of JDK version (OpenJDK-8, OpenJDK-11, OpenJDK-17) According to their needs to install PHP Cache Accelerator provides ZendOPcache, xcache, apcu, eAccelerator. And php extensions,include ZendGuardLoader,ionCube,SourceGuardian,imagick,gmagick,fileinfo,imap,ldap,calendar,phalcon,yaf,yar,redis,memcached,memcache,mongodb,swoole,xdebug Installation Nodejs, Pureftpd, phpMyAdmin according to their needs Install memcached, redis according to their needs Jemalloc optimize MySQL, Nginx Providing add a virtual host script, include Let's Encrypt SSL certificate Provide Nginx/Tengine/OpenResty/Apache/Tomcat, MySQL/MariaDB/Percona, PHP, Redis, Memcached, phpMyAdmin upgrade script Provide local,remote(rsync between servers),Aliyun OSS,Qcloud COS,UPYUN,QINIU,Amazon S3,Google Drive and Dropbox backup script
FreeWindowsmacOSLinux
RustFS logo
RustFS is developed with the popular and secure Rust language, compatible with S3 protocol. Suitable for AI/ML and massive data storage, big data, internet, industrial and confidential storage scenarios. Nearly free to use. Follows Apache 2 license, supports domestic confidential equipment and systems. High-performance enterprise-grade distributed file system Comprehensive features to meet enterprise-grade storage requirements Cross-Cloud RustFS leverages distributed architecture and object storage capabilities to provide excellent performance for AI and advanced analytics workloads, supporting data scaling from TB to EB levels. Secure & Reliable RustFS integrates with RustyVault to provide high-performance object storage security encryption, supporting multiple encryption modes to ensure data security and transparency. Version Control Object storage version control feature assigns unique identifiers to each object version, allowing users to access and manage historical versions through APIs or management interfaces. Unlimited Scaling RustFS system automatically balances node loads, ensures even data distribution, supports dynamic addition or removal of resources based on storage needs, achieving unlimited scaling. Object Read-Only Supports object locking mode, implementing WORM (Write Once, Read Many) functionality, preventing data from being modified or deleted within specified time ranges, ensuring data integrity. Active Replication Automatically creates multiple copies when objects are written and distributes them to different nodes, supports synchronous and asynchronous replication modes, providing high availability and disaster recovery capabilities.
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AI Stock logo
AI Stock is an AI-driven stock analysis and investment research platform built to help investors produce professional-level equity research reports in just minutes. By integrating advanced artificial intelligence with real-time market data, company fundamentals, technical indicators, and news sentiment analysis, the platform provides in-depth insights across major global markets, including U.S. equities (NYSE & NASDAQ), Hong Kong stocks (HKEX), and China A-shares. With AIStock.tools, users can instantly generate comprehensive AI-powered stock reports that cover company overviews, valuation metrics, growth prospects, risk assessments, and forward-looking analysis. Investors can view real examples of AI-generated research in the reports library at https://aistock.tools/cases, and explore promising technology and AI-focused companies through the Top AI Stocks section at https://aistock.tools/top-ai-stocks. Beyond automated research, AIStock.tools also offers a Community Reports hub (https://aistock.tools/community), where users can discover shared analyses, collective intelligence, and community-driven investment ideas. New users can quickly get started with clear product explanations and onboarding materials available in the user guide at https://aistock.tools/guide, while flexible subscription plans and credit-based pricing details are outlined at https://aistock.tools/pricing. Designed for both individual investors and financial professionals, AIStock.tools brings institutional-grade stock analysis within reach—making high-quality investment research faster, smarter, and more accessible through modern AI technology.
FreemiumWindowsmacOSLinuxAndroidiOS
langchain logo
langchain is a free, open-source alternative to OpenAI Assistants API . The agent engineering platform. LangChain is a framework for building agents and LLM-powered applications. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves. Tip Just getting started? Check out Deep Agents — a higher-level package built on LangChain for agents that have built-in capabilites for common usage patterns such as planning, subagents, file system usage, and more. Quickstart uv add langchain from langchain . chat_models import init_chat_model model = init_chat_model ( "openai:gpt-5.5" ) result = model . invoke ( "Hello, world!" ) If you're looking for more advanced customization or agent orchestration, check out LangGraph , our framework for building controllable agent workflows. For an equivalent JS/TS library, check out LangChain.js . Tip For developing, debugging, and deploying AI agents and LLM applications, see LangSmith . LangChain ecosystem While the LangChain framework can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools when building LLM applications. Deep Agents — Build agents that can plan, use subagents, and leverage file systems for complex tasks LangGraph — Build agents that can reliably handle complex tasks with our low-level agent orchestration framework Integrations — Chat & embedding models, tools & toolkits, and more LangSmith — Agent evals, observability, and debugging for LLM apps LangSmith Deployment — Deploy and scale agents with a purpose-built platform for long-running, stateful workflows Why use LangChain? LangChain helps developers build applications powered by LLMs through a standard interface for models, embeddings, vector stores, and more. Real-time data augmentation — Easily connect LLMs to diverse data sources and external/internal systems, drawing from LangChain's vast library of integrations with model providers, tools, vector stores, retrievers, and more Model interoperability — Swap models in and out as your engineering team experiments to find the best choice for your application's needs. As the industry frontier evolves, adapt quickly — LangChain's abstractions keep you moving without losing momentum Rapid prototyping — Quickly build and iterate on LLM applications with LangChain's modular, component-based architecture. Test different approaches and workflows without rebuilding from scratch, accelerating your development cycle Production-ready features — Deploy reliable applications with built-in support for monitoring, evaluation, and debugging through integrations like LangSmith. Scale with confidence using battle-tested patterns and best practices Vibrant community and ecosystem — Leverage a rich ecosystem of integrations, templates, and community-contributed components. Benefit from continuous improvements and stay up-to-date with the latest AI developments through an active open-source community Flexible abstraction layers — Work at the level of abstraction that suits your needs — from high-level chains for quick starts to low-level components for fine-grained control. LangChain grows with your application's complexity Resources Documentation — conceptual overviews and guides LangChain ecosystem overview — how LangChain, LangGraph, and Deep Agents fit together API reference — complete reference for all public classes, functions, and types Discussions — community forum for technical questions, ideas, and feedback LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team Contributing Guide — how to contribute and find good first issues Code of Conduct — community guidelines and standards
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