Best AI tools for< Analyze Code Relationships >

Kira Systems is a machine learning contract search, review, and analysis software that helps businesses identify, extract, and analyze content in their contracts and documents. It uses patented machine learning technology to extract concepts and data points with high efficiency and accuracy. Kira also has built-in intelligence that streamlines the contract review process with out-of-the-box smart fields. Businesses can also create their own smart fields to find specific data points using Kira's no-code machine learning tool. Kira's adaptive workflows allow businesses to organize, track, and export results. Kira has a partner ecosystem that allows businesses to transform how teams work with their contracts.

Formaloo is an AI-powered survey maker that allows users to create engaging surveys with AI technology. It offers a no-code survey software built for marketing and HR teams, enabling users to create, share, and analyze online surveys, questionnaires, and assessments. Formaloo provides enterprise-grade marketing tools for market and product research, as well as workforce performance management solutions. Users can customize surveys, dashboards, and communication tools to streamline operations and improve customer engagement. With over 25,000 businesses in 30+ countries trusting Formaloo, the platform empowers teams to gather insights, automate tasks, and collaborate efficiently.

TimeComplexity.ai is an AI tool that helps users analyze the runtime complexity of their code. It works seamlessly across different programming languages without the need for headers, imports, or a main statement. Users can simply input their code and get insights into its performance. However, it is important to note that the results provided by TimeComplexity.ai may not always be accurate, so users are advised to use the tool at their own risk.

Codiga is a static code analysis tool that helps developers write clean, safe, and secure code. It works in real-time in your IDE and CI/CD pipelines, and it can be customized to meet your specific needs. Codiga supports a wide range of languages and frameworks, and it integrates with popular tools like GitHub, GitLab, and Bitbucket.

Zevo.ai is an AI-powered code visualization tool designed to accelerate code comprehension, deployment, and observation. It offers dynamic code analysis, contextual code understanding, and automatic code mapping to help developers streamline shipping, refactoring, and onboarding processes for both legacy and existing applications. By leveraging AI models, Zevo.ai provides deeper insights into code, logs, and cloud infrastructure, enabling developers to gain a better understanding of their codebase.

Wasps is an AI code review tool that integrates seamlessly into VSCode, providing developers with a fast and efficient way to understand their codebase, detect and fix code issues using AI and Gitsecure. With Wasps, developers can identify and fix buggy & vulnerable code in minutes, receive clear and actionable feedback driven by deep analysis, and get recommendations for potential issues and improvements within their codebase. The tool allows developers to keep coding as usual while Wasps analyzes their code for them, making it easier to maintain code quality and keep bugs out of their code.

CodeConverter.com is an AI code converter tool that allows users to convert code instantly across 120 programming languages. It offers a fast and accurate conversion process, an easy-to-use interface, and supports all major programming languages. The platform is completely online, secure, and private, ensuring user data privacy. CodeConverter.com is designed to cater to developers, programmers, software engineers, students, data scientists, and hobbyists, helping them streamline their coding experience and enhance productivity.

Trag is an AI-powered tool designed to review pull requests in minutes, empowering engineering teams to save time and focus on building products. With Trag, users can create custom patterns for code review, ensuring best practices are followed and bugs are caught early. The tool offers features like autofix with AI, monitoring progress, connecting multiple repositories, pull request review, analytics, and team workspaces. Trag stands out from traditional linters by providing complex code understanding, semantic code analysis, predictive bug detection, and refactoring suggestions. It aims to streamline code reviews and help teams ship faster with AI-powered reviews.

Docify AI is an AI-assisted code comment and documentation tool designed to help software developers improve code quality, save time, and increase productivity. It offers features such as automated documentation generation, comment translation, inline comments, and code coverage analysis. The tool supports multiple programming languages and provides a user-friendly interface for efficient code documentation. Docify AI is built on proprietary AI models, ensuring data privacy and high performance for professional developers.

Copilot is an AI-powered code completion tool developed by OpenAI. It assists developers in writing code by providing suggestions and completing code snippets based on the context. Copilot uses machine learning algorithms to analyze code patterns and predict the next lines of code, making coding faster and more efficient. With its intuitive interface, Copilot aims to streamline the coding process and enhance developer productivity.

GPTPLUS is a Chrome and Edge browser extension powered by GPT-4 and GPT-3.5 that provides AI-powered writing, translation, code analysis, and Q&A assistance. It allows users to chat with ChatGPT in a sidebar, use prompts to enhance answers, and process selected text with a single click. GPTPLUS is free to use, with premium plans offering additional features.

AskTheCode is a powerful and versatile plugin designed to bridge the gap between ChatGPT and GitHub repositories. It allows developers to seamlessly analyze GitHub repositories and ask questions related to those repositories using ChatGPT. The tool supports universal language, works with both public and private repositories, and provides accurate results based on thoughtful prompts. AskTheCode aims to assist developers in exploring and understanding codebases, projects, and repository structures.

DigestDiff is an AI-driven tool that helps users analyze and understand commit history in codebases. It provides detailed narratives based on commit logs, accelerates onboarding by summarizing codebases, and automates the creation of release notes using AI. The tool prioritizes privacy by only requiring read-only access to commit history and never storing any code or generated data.

CO/AI is an AI tool that provides actionable resources and strategies to accelerate success in the age of AI. It offers a wide range of AI tools, resources, and community discussions to help users stay updated and informed about the latest trends and developments in artificial intelligence.

Weekly Github Insights is an AI-powered platform that provides users with a comprehensive summary of their latest GitHub activities from the past 7 days. It aims to keep users informed and motivated by compiling their weekly GitHub journey. The platform is built by @rohan_2502 using @aceternitylabs, @github APIs, and @OpenAI.

Patented.ai is an AI-powered platform that specializes in IP commercialization, patent valuation, and litigation support. The platform helps users unlock hidden revenue from their IP portfolio, identify valuable innovations in their codebase, and get data-driven insights on patent value and industry applicability. It offers features such as source code analysis, identifying licensees instantly, and mapping patent claims to source code. Patented.ai is trusted by leading innovators and IP counsel worldwide for lightning-fast insights and comprehensive IP strength assessments.

SecureWoof is an AI-powered malware scanner that utilizes advanced technologies such as Yara rules, Retdec unpacker, Ghidra decompiler, clang-tidy formatter, FastText embedding, and RoBERTa transformer network to scan and detect malicious content in executable files. The tool is trained on the SOREL-20M malware dataset to enhance its accuracy and efficiency in identifying threats. SecureWoof offers a public API for easy integration with other applications, making it a versatile solution for cybersecurity professionals and individuals concerned about malware threats.

MobiHeals is a mobile application focused on security analysis and vulnerability checks for mobile apps. It offers comprehensive security vulnerability analysis, cloud-based static and dynamic application security testing, and integrated vulnerability assessment in one platform. MobiHeals helps users comply with global cybersecurity guidelines and manage security vulnerabilities throughout the development, testing, and operation stages of mobile applications.

Master of Code Global is an AI development company that offers a wide range of AI, web, and mobile solutions to enhance customer experiences. They specialize in services such as chatbot development, conversational AI, generative AI development, web development, software product development, and more. With a focus on leveraging advanced technology to automate tasks, analyze data effectively, and personalize customer interactions, Master of Code Global aims to provide custom world-class digital experiences for web and mobile platforms empowered by AI.

Powerdrill is a platform that provides swift insights from knowledge and data. It offers a range of features such as discovering datasets, creating BI dashboards, accessing various apps, resources, blogs, documentation, and changelogs. The platform is available in English and fosters a community through its affiliate program. Users can sign up for a basic plan to start utilizing the tools and services offered by Powerdrill.

bumpgen is a tool designed to automatically upgrade TypeScript / TSX dependencies and make necessary code changes to handle any breaking issues that may arise. It uses an abstract syntax tree to analyze code relationships, type definitions for external methods, and a plan graph DAG to execute changes in the correct order. The tool is currently limited to TypeScript and TSX but plans to support other strongly typed languages in the future. It aims to simplify the process of upgrading dependencies and handling code changes caused by updates.

The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

RepoAgent is an LLM-powered framework designed for repository-level code documentation generation. It automates the process of detecting changes in Git repositories, analyzing code structure through AST, identifying inter-object relationships, replacing Markdown content, and executing multi-threaded operations. The tool aims to assist developers in understanding and maintaining codebases by providing comprehensive documentation, ultimately improving efficiency and saving time.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

Momentum is an open-source behavioral auditor for backend code that helps developers generate powerful insights into their codebase. It analyzes code behavior, tests it at every git push, and ensures readiness for production. Momentum understands backend code, visualizes dependencies, identifies behaviors, generates test code, runs code in the local environment, and provides debugging solutions. It aims to improve code quality, streamline testing processes, and enhance developer productivity.

Inspectus is a versatile visualization tool for large language models. It provides multiple views, including Attention Matrix, Query Token Heatmap, Key Token Heatmap, and Dimension Heatmap, to offer insights into language model behaviors. Users can interact with the tool in Jupyter notebooks through an easy-to-use Python API. Inspectus allows users to visualize attention scores between tokens, analyze how tokens focus on each other during processing, and explore the relationships between query and key tokens. The tool supports the visualization of attention maps from Huggingface transformers and custom attention maps, making it a valuable resource for researchers and developers working with language models.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

This repository contains a Rest-Backend for a Conversational Agent that allows embedding documents, semantic search, QA based on documents, and document processing with Large Language Models. It uses Aleph Alpha and OpenAI Large Language Models to generate responses to user queries, includes a vector database, and provides a REST API built with FastAPI. The project also features semantic search, secret management for API keys, installation instructions, and development guidelines for both backend and frontend components.

WrenAI is a data assistant tool that helps users get results and insights faster by asking questions in natural language, without writing SQL. It leverages Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) technology to enhance comprehension of internal data. Key benefits include fast onboarding, secure design, and open-source availability. WrenAI consists of three core services: Wren UI (intuitive user interface), Wren AI Service (processes queries using a vector database), and Wren Engine (platform backbone). It is currently in alpha version, with new releases planned biweekly.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

コードを分析し、言語ではなくスタイルに焦点を当て、プログラムを書いた人の性格を推察するツールです。( It is a tool that analyzes code, focuses on style rather than language, and infers the personality of the person who wrote the program. )

A Next.js expert ready to analyze code, answer questions, and offer learning plans.

I explain basic concepts and analyze code in distributed systems.

Analyzes code for time and memory complexity

Analyzes code for accessibility issues & provides recommendations

我分析并优化代码以提高性能和可读性。

Specializes in analyzing ChatGPT conversations for code snippets to build apps

A Senior Developer AI Assistant for optimizing and debugging code.

Improved Python code analysis and execution power.

Assists with code review, pull requests, and writing tests.

Assistant Python ultra-personnalisé, conçu pour transformer les programmeurs de tous niveaux en maîtres de Python. Spécialisé dans l'analyse approfondie du code, les tutoriels interactifs, et l'optimisation de performance.

用中文分析代码和提供建议的专家

提供清晰专业的代码解释

Delivers AST analysis with type, value, and children.

A maestro generates, troubleshoots, and analyzes R programming code.

Expert in Fift programming analysis and education

This plugin assists reverse-engineering binary programs, including decompiling.

Specializes in teaching and analyzing the Rust programming language.

API Finder: Analyze, Clarify, Suggest, build code, Iterate, test ... International version

A neural signal processing engineer, skilled in MATLAB and Python coding assistance.