Search Results for "odin source code" - Page 71
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Showing 13401 open source projects for "odin source code"
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Nakama
Distributed server for social and realtime games and apps
Distributed server for social and real-time games and apps. Users can connect with friends, and join groups. A built-in social graph to see how users can be connected. Extend the server with custom logic written in Lua, TypeScript/JavaScript, or native Go code. Build scalable games and apps with a production-ready server used by ambitious game studios and app developers all around the world. -
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Soot
Soot - A Java optimization framework
Soot is a Java optimization framework. It provides four intermediate representations for analyzing and transforming Java bytecode. Baf: a streamlined representation of bytecode which is simple to manipulate. Jimple: a typed 3-address intermediate representation suitable for optimization. Shimple: an SSA variation of Jimple. Grimp: an aggregated version of Jimple suitable for decompilation and code inspection. -
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JetCache
JetCache is a Java cache framework
...The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in memory). -
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Web3j
Lightweight Java and Android library for integration with Ethereum
...Simple to use framework for automated integration testing against networks within your IDE. Web3j is 100% open source and maintained by Web3 Labs. -
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Racket
The Racket repository
Racket is a general-purpose programming language and an ecosystem for language-oriented programming. This repository holds the source code for the core of Racket plus some related packages. The rest of the Racket distribution source code is in other repositories, mostly under the Racket GitHub organization. Racket programmers typically program with functions, records, objects, exceptions, regular expressions, modules, and threads. That is, instead of a “minimalist” language, which is the way that Scheme is often described, Racket offers a rich language with an extensive set of libraries and tools. ... -
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Chez Scheme
A programming language and an implementation of that language
...As a superset of the language described in the Revised6 Report on the Algorithmic Language Scheme (R6RS), Chez Scheme supports all standard features of Scheme, including first-class procedures, proper treatment of tail calls, continuations, user-defined records, libraries, exceptions, and hygienic macro expansion. The Chez Scheme implementation consists of a compiler, run-time system, and programming environment. Although an interpreter is available, all code is compiled by default. Source code is compiled on-the-fly when loaded from a source file or entered via the shell. A source file can also be precompiled into a stored binary form and automatically recompiled when its dependencies change. Whether compiling on the fly or precompiling, the compiler produces optimized machine code, with some optimization across separately compiled library boundaries. -
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Symfony ErrorHandler
Provides tools to manage errors and ease debugging PHP code
Symfony ErrorHandler is a component that handles and logs PHP errors and exceptions in a structured way. It replaces PHP's default error handling with a more user-friendly and informative system. The component provides detailed error pages for development environments while ensuring minimal disruption in production. It integrates seamlessly with Symfony applications and supports custom error pages. -
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Airtable MCP
Airtable integration for AI-powered applications
Airtable MCP is an integration tool that enables AI-powered applications to access and manipulate Airtable databases directly from the IDE using Anthropic's Model Context Protocol (MCP). It allows querying, creating, updating, and deleting records using natural language, facilitating seamless data management. -
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mongoose-paginate-v2
A custom pagination library for Mongoose with customizable labels
mongoose-paginate-v2 is a pagination library having a page wrapper. The main usage of the plugin is you can alter the return value keys directly in the query itself so that you don't need any extra code for transformation. The initial idea of this plugin is loosely based on the mongoose-paginate package by github.com/edwardhotchkiss/. So this can be considered as an upgraded version of mongoose-paginate with many more options. -
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pymple.nvim
Refactor Python imports on file move/rename in Neovim
Pymple adds missing common Python IDE features for Neovim when dealing with imports. Refactor Python imports on file move/rename in Neovim. -
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Elyra
Elyra extends JupyterLab with an AI centric approach
Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page. -
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Laravel collection macros
A set of useful Laravel collection macros
Laravel's collection class is truly wonderful. It contains a lot of handy methods and you can create some very elegant code with it. In client projects I found myself adding the same macro's over and over again. That's why my colleague Seb and I took some time to create a package aptly called Laravel-collection-macros that contains those macros. -
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QuantumClifford.jl
Clifford circuits, graph states, and other quantum Stabilizer tools
A Julia package for working with quantum stabilizer states and Clifford circuits that act on them. Graphs states are also supported. The package is already very fast for the majority of common operations, but there are still many low-hanging fruits performance-wise. See the detailed suggested readings & references page for background on the various algorithms. -
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Ludwig
A codeless platform to train and test deep learning models
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest. Simple commands can be used to train models both locally and in a distributed way, and to use them to predict on new data. -
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Pro Workflow
Claude Code learns from your corrections: self-correcting memory
Pro Workflow is a productivity framework for Claude Code that introduces self-improving workflows through memory, context engineering, and structured agent orchestration. The system learns from user corrections over time, storing feedback and refining its behavior across sessions to improve accuracy and efficiency. It supports advanced development setups such as parallel worktrees, enabling multiple tasks to be handled simultaneously without interference. The framework includes a collection... -
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Trae Agent
LLM-based agent for general purpose software engineering tasks
Trae Agent is an open-source, LLM-based agent system also developed by ByteDance, focused primarily on automating software engineering workflows. It provides a command-line interface (CLI) that accepts natural-language instructions (e.g. “refactor this module,” “write a unit test,” “generate a REST API skeleton”), and then orchestrates tool-based workflows — such as file editing, shell/batch commands, code generation, code formatting or refactoring — to carry out complex engineering tasks. ... -
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Generative AI Docs
Documentation for Google's Gen AI site - including Gemini API & Gemma
...It contains guides, API references, and examples for developers building applications using Google’s large language models, text-to-image models, embeddings, and multimodal capabilities. The repository includes markdown source files that power the Google AI developer documentation site, as well as sample code snippets in Python, JavaScript, and other languages that demonstrate how to use Google’s Generative AI SDKs and REST APIs effectively. -
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Google Style Guides
Style guides for Google-originated open source projects
Google Styleguide is a comprehensive collection of coding style guides created and maintained by Google to ensure consistency, readability, and maintainability across its vast array of software projects. These guides define best practices and conventions for writing code in multiple programming languages, from C++ and Python to JavaScript, Go, and Swift. By adhering to these standards, developers can more easily collaborate, review code, and maintain high-quality software across teams and open source contributions. Each guide covers a wide range of topics, including naming conventions, file organization, indentation, documentation, and usage of specific language features. ... -
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MCP Language Server
mcp-language-server gives MCP enabled clients access semantic tools
mcp-language-server gives MCP-enabled clients semantic code-navigation powers—go-to-definition, find references, rename, and diagnostics—by brokering requests to language servers. It is not “a language server for MCP,” but an MCP server that exposes language-server–style capabilities to agents and chat IDEs through typed tools. The README demonstrates a streamlined setup: install the Go server, plug in one or more language servers per language, and the MCP client gains editor-grade... -
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Fabric
Fabric is an open-source framework for augmenting humans using AI
Fabric is a command-line framework that turns a curated library of prompt “patterns” into reusable, automatable workflows for large language models. Instead of repeatedly crafting ad-hoc prompts, you pick a pattern (for research, summarization, brainstorming, code review, and more) and feed it inputs or files. The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with... -
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Shapash
Explainability and Interpretability to Develop Reliable ML models
Shapash is a Python library dedicated to the interpretability of Data Science models. It provides several types of visualization that display explicit labels that everyone can understand. Data Scientists can more easily understand their models, share their results and easily document their projects in an HTML report. End users can understand the suggestion proposed by a model using a summary of the most influential criteria. -
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Lapis
A web framework for Lua and OpenResty written in MoonScript
Lapis is a framework for building web applications in Lua (or MoonScript) that primarily targets OpenResty, a high-performance web platform that runs on a customized version of Nginx. Lapis can also be used in other server environments, being compatible with any modern version of Lua. With OpenResty, Lua is run directly inside of the Nginx worker using LuaJIT, giving you the smallest barrier between the webserver and your code. Have a look at Web Framework Benchmarks just to see how... -
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Tolgee Platform
Developer & translator friendly web-based localization platform
An open-source localization platform developers enjoy working with. Because it saves a lot of time you would spend on localization tasks without it because it enables you to provide perfectly translated software. Add translations in the code, and translate them directly in the app with the Tolgee i18n tool. Clicking an element while holding the ALT/option key opens a dialog where you can simply modify your strings. -
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EAGO.jl
A development environment for robust and global optimization
EAGO is an open-source development environment for robust and global optimization in Julia. EAGO is a deterministic global optimizer designed to address a wide variety of optimization problems, emphasizing nonlinear programs (NLPs), by propagating McCormick relaxations along the factorable structure of each expression in the NLP. Most operators supported by modern automatic differentiation (AD) packages (e.g., +, sin, cosh) are supported by EAGO and a number of utilities for sanitizing native Julia code and generating relaxations on a wide variety of user-defined functions have been included. ... -
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NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers
Fast implementations of root-finding algorithms in Julia that satisfy the SciML common interface. For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation that contains the unreleased features. NonlinearSolve.jl is a unified interface for the nonlinear solving packages of Julia. The package includes its own high-performance nonlinear solvers which include the ability to swap out to fast direct and iterative...
