Search Results for "structural"
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Showing 403 open source projects for "structural"
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TypeResolver
PSR-5 based resolver of class names, types, structural element names
The specification on types in DocBlocks (PSR-5) describes various keywords and special constructs but also how to statically resolve the partial name of a Class into a Fully Qualified Class Name (FQCN). PSR-5 also introduces an additional way to describe deeper elements than Classes, Interfaces and Traits called the Fully Qualified Structural Element Name (FQSEN). Using this it is possible to refer to methods, properties and class constants but also functions and global constants. This package provides two Resolvers that are capable of returning a series of Value Object for given expression while resolving any partial class names, and returning an FQSEN object after resolving any partial Structural Element Names into Fully Qualified Structural Element names. ... -
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codebase-memory-mcp
High-performance code intelligence MCP server
...The project uses tree-sitter AST analysis across 158 languages and adds Hybrid LSP type resolution for major languages like Python, TypeScript, JavaScript, Go, C#, Java, Rust, C, and C++. It is built for speed, with average repositories indexed in milliseconds and structural queries answered in under one millisecond. It ships as a single static binary for macOS, Linux, and Windows with no shared library dependencies. It also includes semantic search, BM25 search, graph visualization, auto-indexing, and cross-repository intelligence. -
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DataDrivenDiffEq.jl
Data driven modeling and automated discovery of dynamical systems
DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings. -
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Valibot
Modular and type safe schema library for validating structural data
Valibot is a modular and type-safe schema library for validating structural data. It provides developers with tools to define and enforce data schemas, ensuring data integrity and consistency across applications. -
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Difftastic
A structural diff that understands syntax
Difftastic is a structural diff tool written in Rust that parses source files using syntax trees (via tree‑sitter) and produces human‑readable diffs at the expression level. It works across 30+ languages and emphasizes readability by aligning code structure rather than lines. Ideal for code review and understanding semantic changes. -
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Mantic.sh
A structural code search engine for Al agents
Mantic.sh is a context-aware, structural code search engine designed specifically for use with AI coding agents and developers who need deep, semantically relevant search across large codebases. Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. ... -
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CausalImpact
An R package for causal inference in time series
...It uses Bayesian modeling to fit a structural time series to the pre-period and extrapolate a counterfactual prediction for the post period, then compares observed vs predicted to infer the causal effect. The package supports plotting, summary tables, and verbal narratives for interpretive reports. -
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Skill Scanner
Security Scanner for Agent Skills
This repository is a public security-focused scanning tool intended to analyze and assess AI agent skills for potential issues, quality concerns, and vulnerabilities. It acts as a scanner that inspects Agent Skills packages to flag structural problems, inconsistencies, or security flaws before they are deployed or integrated into agent workflows. Because agent skills can contain executable instructions and logic, scanning them for risky patterns is essential to prevent inadvertent exploitation when used by intelligent systems. The tool supports maintainers and community contributors in automating quality checks and enforcing conventions across skill sets in a standardized way. ... -
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SeedCrackerX
Minecraft mod designed to reverse-engineer
...The system can also integrate with a shared database to contribute discovered seeds, enabling collaborative data gathering across users. Advanced features include brute-force algorithms that refine seed candidates based on structural patterns and hashed seed calculations. -
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VectorCraft
An open-source, clean-room reimplementation of Adobe Illustrator
...It provides tools such as Pen, Direct Selection, Pathfinder, Smart Guides, layers, swatches, blends, gradient meshes, repeats, and envelope distortion. Exact curve booleans and structural-sharing undo are designed for reliable editing. Its native format is JSON-based, while SVG, PDF-compatible AI, PNG, JPEG, WebP, and other formats are supported for interchange. The same codebase runs on macOS, Windows, Linux, FreeBSD, and WebAssembly. A JSON control channel and MCP server expose editing commands to AI agents for automated drawing and export workflows. -
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Torch Pruning
DepGraph: Towards Any Structural Pruning
Torch-Pruning is an open-source toolkit designed to optimize deep neural networks by performing structural pruning directly within PyTorch models. The library focuses on reducing the size and computational cost of neural networks by removing redundant parameters and channels while maintaining model performance. It introduces a graph-based algorithm called DepGraph that automatically identifies dependencies between layers, allowing parameters to be pruned safely across complex architectures. ... -
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The Ballerina programming language
The Ballerina Programming Language
Ballerina is an open-source programming language for the cloud that makes it easier to use, combine, and create network services. Network primitives in the language make it simpler to write services and run them in the cloud. Structural types with support for openness are used both for static typing within a program and for describing service interfaces. Type-safe, declarative processing of JSON, XML, and tabular data with language-integrated queries. Explicit error handling, static types, and concurrency safety, combined with a familiar, readable syntax make programs reliable and maintainable. ... -
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JSON_REPAIR
A python module to repair invalid JSON from LLMs
...Instead of failing when encountering errors such as missing quotes, trailing commas, or incomplete objects, the library analyzes the malformed data and reconstructs it into valid JSON. The repair process can also be combined with optional JSON Schema validation to enforce structural constraints and ensure the output conforms to expected data types and formats. Developers can integrate the library into applications as a drop-in replacement for standard JSON parsing functions, allowing systems to tolerate imperfect structured data without crashing. -
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Xournal++
A handwriting notetaking software with PDF annotation support
...Add images and create various shapes, from circles to splines to axis. Snap objects to rectangular grid or degrees of rotation. Create anything from differential equations to electrical circuits or the structural formula of molecules using our built-in LaTeX editor. Customize your toolbar to create a new layout, tailor-made for you. -
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geo-sleuth
An agent skill that finds where a photo was taken
...The system can analyze images even when GPS metadata, recognizable landmarks, or readable signs are unavailable. It evaluates physical clues such as mountain skylines, bridge geometry, shadows, and structural distances to narrow the search. Specialized Python scripts collect, score, and rank geographic candidates before the AI agent evaluates the strongest matches. Results include estimated coordinates, camera direction, confidence levels, and supporting visual evidence. Geo-Sleuth integrates with Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and GitHub Copilot. -
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UB Mode
Agent skill that enforces disciplined software engineering principles
...The skill encourages test-driven development, clear domain modeling, and solving problems from first principles. It instructs agents to fix root causes rather than applying superficial patches. Companion tools measure cyclomatic complexity, test coverage, structural duplication, and mutation testing effectiveness. Developers can use these checks to identify fragile code and insufficient tests. The workflow also emphasizes small verifiable changes, context management, refactoring, and orderly Git commits. UB Mode integrates with compatible coding assistants through a reusable skill file. -
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code-review-graph
Local-first code intelligence graph for MCP and CLI
Code Review Graph is a local-first code intelligence tool that builds a persistent structural map of a software repository. It parses source files with Tree-sitter and stores functions, classes, imports, calls, inheritance, and test relationships in a SQLite graph. When code changes, blast-radius analysis identifies the callers, dependents, and tests most likely to be affected. AI coding assistants can query this focused context through MCP instead of repeatedly scanning an entire codebase. ... -
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Design Patterns for Humans
An ultra-simplified explanation to design patterns
...Instead of dense academic prose, it focuses on “why” and “when” to use a pattern, including trade-offs that help readers make pragmatic choices. The material groups patterns into categories such as creational, structural, and behavioral, mirroring common references while staying approachable for self-study. Each pattern’s section typically includes intent, real-world motivation, and an example implementation to cement understanding. The repository is designed to be skimmed or studied deeply, so you can revisit it as a quick refresher before interviews or architectural decisions. ... -
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Tigo
Tigo is an HTTP web framework written in Go (Golang)
...Developers can use these APIs to quickly build web services. Of course, the Tigo framework also provides developers with three toolkits, binding, logger, and request, which can be used by developers to perform structural body case studies, log records, and HTTP access requests. If you have used Tornado before, then Tigo is very easy for you to get started. Tigo provides two routing methods, and developers can learn through the right-side example. -
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ELisp Tree-sitter
Tree-sitter bindings for Emacs Lisp
...It aims to be the foundation for a new breed of Emacs packages that understand code structurally. Faster, fine-grained code highlighting. More flexible code folding. Structural editing (like Paredit, or even better) for non-Lisp code. More informative indexing for imenu. The author of Tree-sitter articulated its merits a lot better in this Strange Loop talk. The minor mode tree-sitter-mode provides a buffer-local syntax tree, which is kept up-to-date with changes to the buffer’s text. Run M-x tree-sitter-hl-mode to replace the regex-based highlighting provided by font-lock-mode with tree-based syntax highlighting. -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. -
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EthereumJS Monorepo
Monorepo for the Ethereum VM TypeScript Implementation
This repository holds various protocol building blocks of the Ethereum blockchain execution layer and is managed by the Ethereum Foundation JavaScript team. There is a TypeScript implementation of the Ethereum Virtual Machine (EVM) ready to be used in Node.js or a browser environment, implementations of core structural blockchain building blocks like an Ethereum Tx, Block or Blockchain as well as a Trie (Merkle Patricia Tree) and devp2p (execution networking layer) implementation. All libraries are bound together by the core Common library keeping track of chain specifics and hardfork changes. They are complemented by helper packages like RLP for data encoding/decoding or Util, providing helper functionalities like (byte) conversion, signatures, types and others. ... -
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UEFITool
UEFI firmware image viewer and editor
...The application parses firmware images into hierarchical trees containing volumes, files, sections, and related components. Users can inspect these elements and examine firmware organization without manually interpreting raw binary data. Its parsing engine performs structural and integrity checks to identify potential problems. UEFITool supports firmware research, reverse engineering, diagnostics, and analysis of low-level system components. The project includes editing capabilities in its established branches, while newer development versions continue to expand firmware parsing support. -
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blavaan
An R package for Bayesian structural equation modeling
blavaan is a free, open-source R package for Bayesian latent variable analysis. It relies on JAGS and Stan to estimate models via MCMC. The blavaan functions and syntax are similar to lavaan. The development version of blavaan (containing updates not yet on CRAN) can be installed via the command provided in the documentation. Compilation is required; this may be a problem for users who currently rely on a binary version of blavaan from CRAN. The blavaan package depends on the lavaan package... -
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Qwen-Image-Layered
Qwen-Image-Layered: Layered Decomposition for Inherent Editablity
...This architecture allows richer semantic interpretation, enabling use cases such as scene decomposition, object-level editing, layered captioning, and more fine-grained multimodal reasoning than with flat image encodings alone. By combining text and structured image representations, it aims to facilitate tasks where both descriptive and structural understanding are important, such as detailed image QA, interactive image editing via prompt layers, and image-conditioned generation with structural control. The layered approach supports training signals that help the model learn how visual elements relate to each other and to textual context, rather than simply learning global image embeddings.
