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Showing 16936 open source projects for "gmail source code"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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rustlings
Small exercises to get you used to reading and writing Rust code
This project contains small exercises to get you used to reading and writing Rust code. This includes reading and responding to compiler messages! Alternatively, for a first-time Rust learner, there are several other resources, like The Book, which is the most comprehensive resource for learning Rust, but a bit theoretical sometimes. You will be using this along with Rustlings! And also, Rust By Example, to learn Rust by solving little exercises! It's almost like rustlings, but online. You... -
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agentmemory
#1 Persistent memory for AI coding agents
agentmemory is a persistent memory server for AI coding agents that captures project context, past decisions, bugs, preferences, and implementation details so users do not have to re-explain the same information in every session. It works across tools such as Claude Code, Cursor, Gemini CLI, Codex CLI, OpenCode, Cline, and any client that supports MCP or REST APIs. The system automatically records what agents do, compresses that activity into searchable memory, and injects relevant context... -
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Vulnhuntr
AI tool for detecting complex vulnerabilities in Python codebases
Vulnhuntr is an open source security tool that uses large language models to analyze codebases and identify remotely exploitable vulnerabilities. It focuses on Python projects and applies static code analysis combined with LLM reasoning to trace how user input flows through an application. Instead of scanning entire repositories at once, it builds call chains step by step, allowing deeper inspection of complex, multi-stage issues that traditional tools may miss. -
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Open SaaS
Open source SaaS boilerplate for React, NodeJS apps with Wasp stack
Open SaaS is a free and open source starter template designed to help developers quickly build and launch Software-as-a-Service applications. It is built on the Wasp full stack framework, which combines React, NodeJS, and Prisma to manage both client and server code within a unified architecture. Open SaaS provides a production-ready foundation that includes common SaaS functionality such as authentication, payments, analytics, and file uploads. -
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Linenoise
A small self-contained alternative to readline and libedit
...The code is compact (around 850 lines excluding comments) and designed for minimal footprint embedding into other projects (like CLI tools) that need line editing but don’t want the complexity of linking large libraries. -
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CodeGuide
This repository is a collection of the author, Xiao Fuge
...The project serves as a structured and comprehensive learning path for developers who want to strengthen their understanding of Java fundamentals and core programming practices. It includes detailed explanations of design patterns, source code analysis, frameworks, algorithms, and real-world project cases. The repository emphasizes practical coding skills, providing examples that can be directly applied in professional software engineering. It also functions as a guide for both junior developers who want to grow into architects and experienced engineers who seek deeper mastery of system design. ... -
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Symfony Inflector
Converts words between their singular and plural forms (English only)
Symfony Inflector is a lightweight PHP component that provides tools for transforming English words between singular and plural forms. It is useful for dynamic naming, code generation, and building human-readable interfaces. The component includes simple, reliable inflection logic and integrates easily with other Symfony components or standalone PHP projects. -
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Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to... -
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LLVM.jl
Julia wrapper for the LLVM C API
A Julia wrapper for the LLVM C API. The LLVM.jl package is a Julia wrapper for the LLVM C API, and can be used to work with the LLVM compiler framework from Julia. You can use the package to work with LLVM code generated by Julia, to interoperate with the Julia compiler, or to create your own compiler. It is heavily used by the different GPU compilers for the Julia programming language. -
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java-client
Java language binding for writing Appium Tests
Java language binding for writing Appium Tests conforms to W3C WebDriver Protocol. Since version 8 Appium Java Client had several major changes, which might require to update your client code. Make sure to follow the v7 to v8 Migration Guide in order to streamline the migration process. -
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Markdoc
A powerful, flexible, Markdown-based authoring framework.
...Markdoc is a Markdown-based syntax and toolchain for creating custom documentation sites. Stripe created Markdoc to power our public docs. Markdoc uses a fully declarative approach to composition and flow control. Maintain full control over your code and content. Markdoc is open-source and fully extensible. Markdoc delivers a powerful, flexible, developer experience (DX) with an equally capable authoring experience (AX). Use Markdoc to create interactive documentation experiences, static content sites, authoring tooling, and more. Markdoc core is a lightweight package containing everything you need to get started. -
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dash.js
A reference client implementation for the playback of MPEG DASH
A reference client implementation for the playback of MPEG DASH via JavaScript and compliant browsers. If your intent is to use the player code without contributing back to this project, then use the MASTER branch which holds the approved and stable public releases. If your goal is to improve or extend the code and contribute back to this project, then you should make your changes, and submit a pull request. dash.js is an initiative of the DASH Industry Forum to establish a production quality framework for building video and audio players that play back MPEG-DASH content using client-side JavaScript libraries leveraging the Media Source Extensions API set as defined by the W3C. ... -
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AvCpp
C++ wrapper for FFmpeg
AvCpp is a modern C++ wrapper library for FFmpeg designed to provide a safer and more intuitive interface for multimedia processing. It leverages modern C++ features to simplify memory management and reduce the complexity of working with FFmpeg’s C APIs. The library enables developers to handle encoding, decoding, and streaming tasks with cleaner and more maintainable code. It focuses on performance while improving developer productivity through abstraction. avcpp supports integration into... -
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LLaMA Models
Utilities intended for use with Llama models
...The project’s issues and releases reflect an actively used coordination point for the ecosystem, where guidance, utilities, and compatibility notes are published. It complements separate repos that carry code and demos (for example inference kernels or cookbook content) by keeping authoritative metadata and specs here. Model lineages and size variants are documented externally (e.g., Llama 3.x and beyond), with this repo providing the “single source of truth” links and utilities. In practice, teams use llama-models as a reference when selecting variants, aligning licenses, and wiring in helper scripts for deployment. -
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LaravelS
LaravelS is an out-of-the-box adapter between Laravel/Lumen and Swoole
LaravelS is an out-of-the-box adapter between Laravel/Lumen and Swoole. LaravelS uses Swoole's Synchronous IO mode, the larger the worker_num setting, the better the concurrency performance, but it will cause more memory usage and process switching overhead. If one request takes 100ms, in order to provide 1000QPS concurrency, at least 100 Worker processes need to be configured. Create WebSocket Handler class, and implement interface WebSocketHandlerInterface. The instant is automatically... -
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WALA
Libraries for Analysis, with frontends for Java, Android, and JS
The T. J. Watson Libraries for Analysis (WALA) provide static analysis capabilities for Java bytecode and related languages and for JavaScript. The system is licensed under the Eclipse Public License, which has been approved by the OSI (Open Source Initiative) as a fully certified open-source license. The initial WALA infrastructure was independently developed as part of the DOMO research project at the IBM T.J. Watson Research Center. In 2006, IBM donated the software to the community. The... -
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k3s in docker
Little helper to run CNCF's k3s in Docker
k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e.g. for local development on Kubernetes. Note: k3d is a community-driven project but it’s not an official Rancher (SUSE) product. Sponsoring: To spend any significant amount of time improving k3d, we rely on sponsorships. k3d creates containerized k3s clusters. This means, that you can spin up a multi-node k3s... -
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AI Dev Tasks
A simple task management system for managing AI dev agents
AI Dev Tasks is a Markdown-based task management system for AI-assisted software development. It provides structured prompt files that guide an AI coding assistant through feature planning, PRD creation, task breakdown, and implementation checkpoints. The project is designed to work with AI-powered IDEs and CLI agents such as Amp, Claude Code, Windsurf, and similar tools. Instead of asking an agent to jump directly into code, users can follow a staged process that clarifies requirements... -
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Codex Autoresearch
A codex plugin for running optimization loops inside a codebase
Codex Autoresearch is an autonomous software improvement framework that enables AI coding agents to iteratively enhance codebases without continuous human input. The system operates in a loop where the agent modifies code, evaluates results against measurable metrics, and either keeps or discards changes based on performance. It generalizes the concept of autoresearch beyond machine learning, allowing optimization of test coverage, latency, lint errors, and overall code quality. Developers... -
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Wondel.ai Skills
Agent skills for Claude Code and other agentskills-compatible agents
Wondel.ai Skills is a repository that provides modular capability packages for AI agents, particularly those operating within Claude Code and similar ecosystems. Each skill represents a structured set of instructions, workflows, and tools that enable agents to perform specific tasks with expertise. These skills can cover a wide range of domains, including development, automation, and problem-solving, allowing agents to extend their capabilities dynamically. The system emphasizes modularity,... -
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Machine Learning Foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics
Machine Learning Foundations repository contains the code, notebooks, and teaching materials used in Jon Krohn’s Machine Learning Foundations curriculum. The project focuses on explaining the fundamental mathematical and computational concepts that underpin modern machine learning and artificial intelligence systems. The materials cover essential topics such as linear algebra, calculus, statistics, and probability, which form the theoretical basis of many machine learning algorithms. The... -
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Claude Scientific Skills
A set of ready to use Agent Skills for research, science, engineering
Claude Scientific Skills is a large open source collection of ready-to-use scientific capabilities that extend AI coding agents into full research assistants. The project provides more than 170 curated skills covering domains such as genomics, drug discovery, medical imaging, physics, and advanced data analysis. Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. -
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Hello-Agents
Building an Intelligent Agent from Scratch
Hello Agents is an open educational project designed to teach developers how to understand, design, and build AI-native agents from the ground up through structured tutorials and practical examples. The project focuses on guiding learners beyond superficial framework usage toward deeper comprehension of agent architecture, reasoning loops, and real-world implementation patterns. It walks users through core concepts such as ReAct-style reasoning, tool usage, memory handling, and multi-step... -
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LeetCode Book
Comprehensive study guide for coding interviews
LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include... -
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CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given...
