Search Results for "jack-graph" - Page 3
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Showing 524 open source projects for "jack-graph"
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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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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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Graphene-Django
Integrate GraphQL into your Django project
...Our primary focus in this tutorial is to give a good understanding of how to connect models from Django ORM to Graphene object types. GraphQL presents your objects to the world as a graph structure rather than a more hierarchical structure to which you may be accustomed. In order to create this representation, Graphene needs to know about each type of object which will appear in the graph. -
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Wire
Compile-time dependency injection for Go
...Dependency injection tools like Wire aim to simplify the management of initialization code. You describe your services and their dependencies, either as code or as configuration, then Wire processes the resulting graph to figure out ordering and how to pass each service what it needs. -
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Terraform
Safely and predictably create, change, and improve infrastructure
Terraform is an open source tool that allows you to use infrastructure as code to provision and manage any cloud, infrastructure or service. It codifies APIs into declarative configuration files, which can then be shared among team members, reviewed, applied, edited and versioned. -
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Periphery
A tool to identify unused code in Swift projects
A tool to identify unused code in Swift projects. The scan command is Periphery's primary function. To begin a guided setup, simply change to your project directory. To get coherent results from Periphery, it's crucial to understand the implications of the build targets you choose to analyze. For example, imagine a project consisting of three targets: App, Lib and Tests. The App target imports Lib, and the Tests targets imports both App and Lib. If you were to provide all three to the... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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css-doodle
A web component for drawing patterns with CSS
...The component will generate a grid of divs by the rules (plain CSS) inside it. You can easily manipulate those cells using CSS to come up with a graphic pattern or an animated graph. The limit is the limit of CSS itself. Download the latest version or include it directly from a CDN. You can also install it from npm and import the module in JavaScript. The syntax of CSS-doodle is based on CSS and provides several extra utility functions and shorthand properties. The number of rows and columns in the grid is defined by the grid attribute on the element, ranging from 1 to 64. ... -
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trustfall
A query engine for any combination of data sources
trustfall is a flexible and extensible query engine designed to retrieve and analyze data from a wide variety of heterogeneous sources using a unified query language. It allows developers to query APIs, databases, files, and even structured outputs from AI systems as if they were part of a single, cohesive graph-based dataset. The system is inspired by GraphQL-like paradigms, enabling expressive and composable queries that can traverse relationships across different data domains seamlessly. Trustfall operates by parsing, compiling, and executing queries through adapters that connect to specific data sources, making it highly modular and adaptable to new environments. ... -
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Radar
The missing open source Kubernetes UI
Radar is a modern, local-first Kubernetes visibility and management tool that provides a unified interface for exploring, debugging, and operating cluster resources in real time. It runs as a single lightweight binary with no required cloud account, connecting directly to clusters using existing kubeconfig credentials. The platform combines multiple observability features such as topology graphs, event timelines, and traffic visualization into one cohesive UI. It allows users to inspect... -
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ONNX Runtime
ONNX Runtime: cross-platform, high performance ML inferencing
...ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Support for a variety of frameworks, operating systems and hardware platforms. Built-in optimizations that deliver up to 17X faster inferencing and up to 1.4X faster training. -
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Git Extensions
UI tool for managing git repositories
Git Extensions is a standalone UI tool for managing Git repositories. It also integrates with Windows Explorer and Microsoft Visual Studio (2015/2017/2019). The full commit history can be browsed. Branches are shown using a graph which highlights commits that are included in the current revision. Explore the history of single files. Renamed and moved files are matched and shown in a single history. You do not need to mark files as renamed/moved. The system detects renamed files automatically. Find the last person that edited a specific part of a file. Double click on the line shows the commit and allows you to drill-down to other files. ... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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DGL
Python package built to ease deep learning on graph
...We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks. -
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gitoxide
An idiomatic, lean, fast & safe pure Rust implementation of Git
An idiomatic, lean, fast & safe pure Rust implementation of Git. gix is a command-line interface (CLI) to access git repositories. It's written to optimize the user experience and perform as well or better than the canonical implementation. Furthermore, it provides an easy and safe to use API in the form of various small crates for implementing your own tools in a breeze. Please see 'Development Status' for a listing of all crates and their capabilities. Please note that all functionality... -
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Dagger
Fast dependency injector for Android and Java
Dagger is a fully static, compile-time dependency injection framework for Java, Kotlin, and Android. It is an adaptation of an earlier version created by Square and now maintained by Google. The latest Dagger release is: Dagger 2.33. Dagger aims to address many of the development and performance issues that have plagued reflection-based solutions. Dagger is a replacement for the FactoryFactory classes that implements the dependency injection design pattern without the burden of writing the... -
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Logseq
A privacy-first, open-source platform for knowledge management
...No data lock-in, no proprietary formats, you can edit the same Markdown/Org-mode file with any tools at the same time. Connect your [[ideas]] and [[thoughts]] with Logseq. Your knowledge graph grows just as your brain generates and connects neurons from new knowledge and ideas. -
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JavaScript Algo and Data Structures
Algorithms and data structures implemented in JavaScript
...Each algorithm includes explanations, complexity analysis, and references for further reading, making it both a coding resource and a study guide. The repository covers topics such as sorting, searching, graph algorithms, cryptography, and data structures like linked lists, stacks, and queues. It is designed to help developers understand algorithm fundamentals and practice problem-solving with JavaScript. Multilingual README files make the resource accessible to a global audience. With strong community engagement, it is one of the most popular algorithm repositories on GitHub. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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Concourse
Concourse is a container-based continuous thing-doer written in Go
...The visualization provides a "gut check" feedback loop: if it looks wrong, it probably is wrong. Jobs can depend on other jobs by configuring passed constraints. The resulting chain of jobs and resources is a dependency graph that continuously pushes your project forward, from source code to production. -
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Checkov
Prevent cloud misconfigurations during build-time for Terraform
...Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. -
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Luigi
Python module that helps you build complex pipelines of batch jobs
Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop... -
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TensorFlow
TensorFlow is an open source library for machine learning
...The platform can be easily deployed on multiple CPUs, GPUs and Google's proprietary chip, the tensor processing unit (TPU). TensorFlow expresses its computations as dataflow graphs, with each node in the graph representing an operation. Nodes take tensors—multidimensional arrays—as input and produce tensors as output. The framework allows for these algorithms to be run in C++ for better performance, while the multiple levels of APIs let the user determine how high or low they wish the level of abstraction to be in the models produced. ... -
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PixiJS
The HTML5 Creation Engine
PixiJS is a fast and lightweight 2D rendering library that lets you create rich, interactive graphics, cross platform applications, and HTML5 games even without prior knowledge of WebGL. It’s a fantastic tool for creating rich, interactive content and with built-in cross platform compatibility and graceful degradation, there’s less work for you and more space for fun and creativity! PixiJS works across all devices and is incredibly fast. If you want to create exceptional experiences without... -
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lidarslam_ros2
ROS 2 package of 3D lidar slam using ndt/gicp registration
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization. ros2 slam package of the frontend using OpenMP-boosted gicp/ndt scan matching and the backend using graph-based slam. -
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RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations... -
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LifetimeTracker
Find retain cycles / memory leaks sooner
LifetimeTracker can surface retain cycle/memory issues right as you develop your application, and it will surface them to you immediately, so you can find them with more ease. Instruments and Memory Graph Debugger are great, but too many times, developers forget to check for issues as they close the feature implementation. If you use those tools sporadically many of the issues they surface will require you to investigate the cause and cost you a lot of time in the process. Other tools like FBRetainCycleDetector rely on objc runtime magic to find the problems, but that means they can't really be used for pure Swift classes. ... -
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Obsidian Skills
Agent skills for Obsidian
...By providing formal descriptions of patterns, conventions, and workflows common to Obsidian users, the skills empower AI tools to give more relevant suggestions, generate content that adheres to user conventions, or execute complex multi-step operations that respect the knowledge graph and file relationships. -
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REDasm
The Open Source Disassembler
REDasm is a cross platform disassembler and binary analysis tool, built for both hobbyists and professional reverse engineers. It supports various CPU architectures and executable formats and also offers an interactive listing, control flow graph view, cross-references, string detection and automatic function recovery. [SUPPORTED FILE FORMATS] PE, ELF, MZ, NE, LE, PSX-EXE, PSX-BIOS, XBE (Xbox), ZX Spectrum (SNA, Z80, TAP), iNES (mapper 0 only) [SUPPORTED ARCHITECTURES] x86/x86_64, ARM/THUMB, AArch64, Z80, MOS6502 [EXTRA FEATURES] VB5/6 Decompiler, MSVC RTTI and EH (EXPERIMENTAL) For detailed tier list of every feature see https://redasm.dev
