Search Results for "data mining project with code"
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Showing 1123 open source projects for "data mining project with code"
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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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Cloud-Based Software Licensing - Zentitle by Nalpeiron1000’s software companies have used Zentitle to launch new software products fast and control their entitlements easily - many going from startup to IPO on our platform. Our software monetization infrastructure allows you to easily build or
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Architecture as a code
Visualize, collaborate, and evolve the software architecture
Architecture as a code is an open-source modeling language and toolkit that enables software teams to describe, visualize, collaborate on, and maintain software architecture as code. Inspired by the C4 Model and other architectural DSLs, LikeC4 lets you define your system’s structure in a textual DSL and then automatically generate consistent diagrams that reflect that design, ensuring that architecture documentation stays in sync with source code changes. The project includes command-line... -
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Claude Code
Claude Code is an agentic coding tool that lives in your terminal
Claude Code is an intelligent agentic coding assistant that lives in your terminal and understands your entire codebase. It helps developers code faster by executing routine tasks, explaining complex code snippets, and managing git workflows—all via natural language commands. Claude Code integrates seamlessly into your terminal, IDE, or GitHub by tagging @claude to interact with your code context. The tool is designed to simplify development by automating repetitive work and providing... -
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Cookiecutter Data Science
Project structure for doing and sharing data science work
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! ... -
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LaTeX2e Kernel Code Repository
The LaTeX2e kernel
LaTeX is a high-quality typesetting system; it includes features designed for the production of technical and scientific documentation. LaTeX is the de facto standard for the communication and publication of scientific documents. LaTeX is available as free software. -
Smarter Packing Decisions for Retailers and 3PLsPaccurate is the only patented cartonization solution that optimizes for transportation costs directly. So you can have the right boxes, and control how they're packed.
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. -
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Elixir Code Smells
Catalog of Elixir-specific code smells
Elixir-Code-Smells is a research-driven catalog of code smells specific to the Elixir programming language. Unlike generic code smell lists, this project identifies issues emerging from Elixir’s functional, concurrent, and process-based nature. Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and... -
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Spring Data MongoDB
Provide support to increase developer productivity in Java
The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. The Spring Data MongoDB project provides integration with the MongoDB document... -
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EQUINOX PROJECT
Full ASP.NET Core 5 application with DDD, CQRS and event sourcing
The Equinox Project is a open-source project written in .NET Core. The goal of this project is implement the most common used technologies and share with the technical community the best way to develop great applications with .NET. You will need the latest Visual Studio 2019 and the latest .NET Core SDK. Please check if you have installed the same runtime version (SDK) described in global.json. Also you can run the Equinox Project in Visual Studio Code (Windows, Linux or MacOS). Full... -
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browser-compat-data
This repository contains compatibility data for Web technologies
The browser-compat-data ("BCD") project contains machine-readable browser (and JavaScript runtime) compatibility data for Web technologies, such as Web APIs, JavaScript features, CSS properties, and more. Our goal is to document accurate compatibility data for Web technologies, so web developers may write cross-browser compatible websites more easily. BCD is used in web apps and software such as MDN Web Docs, CanIUse, Visual Studio Code, WebStorm and more. -
DriveStrike: Remote Wipe | Data Breach ProtectionDriveStrike protects devices and data in the event of loss, theft, or use in remote locations. Remotely locate, lock, and wipe devices you manage to prevent data compromise. DriveStrike prevents data breaches to ensure confidentiality, compliance, and a competitive edge.
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claude-code-transcripts
Tools for publishing transcripts for Claude Code sessions
claude-code-transcripts is a command-line utility that takes session files exported from Claude Code (in JSON or JSONL format) and turns them into clean, navigable HTML transcripts that can be viewed in any modern web browser. It is designed to make the often dense and verbose outputs from AI coding sessions easier to read, share, and archive by breaking conversations into paginated, annotated pages with navigable timelines of prompts and responses. Users can run this tool locally or fetch... -
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Azure Data SQL Samples
Official Microsoft repository containing code samples for SQL Server
This GitHub repository contains code samples that demonstrate how to use Microsoft's Azure Data products including SQL Server, Azure SQL Database, Azure Synapse, and Azure SQL Edge. Each sample includes a README file that explains how to run and use the sample. Note that certain features like In-Memory OLTP are edition specific for SQL Server and would be possible to implement if the edition which supports that feature is being used to run the sample. Releases allow you to conveniently... -
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Android Open Project
A categorized collection of Android Open Source Projects
Android Open Project is a highly popular and comprehensive collection of open-source Android projects and libraries curated to help Android developers explore real-world implementations, reusable components, and best practices across the Android ecosystem. Rather than being a single app or library, this repository aggregates multiple independent projects, demos, and code examples covering a wide range of Android development topics — from UI components and network utilities to architectural patterns and common tools — serving as both educational material and reusable assets for building apps. ... -
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MasterLab
No-code/low-code workflow automation
MasterLab is a no-code/low-code workflow automation and data integration platform that helps users design backend logic visually. It enables the creation of APIs, database operations, and process automation without writing code. MasterLab is designed for startups and teams that need to prototype and iterate quickly. -
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LaTeX3
The expl3 (LaTeX3) Development Repository
The LaTeX project maintains and develops the LaTeX typesetting system. In a separate article we provide a more detailed description of what we aim to achieve and how you can help us to achieve the project goals. Some older reports from the early days of the project (mainly of historical interest) are available from the Comprehensive TeX Archive Network (CTAN) as ltx3pub. The repository contains development material for expl3. This includes not only code to be developed into the expl3 kernel,... -
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Go Recipes
Collection of handy tools for Go projects
Visualize the distribution of code coverage in your project. This helps to identify code areas with high and low coverage. Useful when you have a large project with lots of files and packages. This 2D image-hash of your project should be more representative than a single number. For each module, the node representing the greatest version (i.e., the version chosen by Go's minimal version selection algorithm) is colored green. Other nodes, which aren't in the final build list, are colored grey... -
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Weka
Machine learning software to solve data mining problems
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.">
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Obsidian Visual Skills Pack
Generate Canvas, Excalidraw, and Mermaid diagrams from text
LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking... -
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Tokenizer
A small library for converting tokenized PHP source code into XML
A small library for converting tokenized PHP source code into XML. You can add this library as a local, per-project dependency to your project using Composer. If you only need this library during development, for instance to run your project's test suite, then you should add it as a development-time dependency. -
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JavaParser
Java 1-17 Parser and Abstract Syntax Tree for Java
This project contains a set of libraries implementing a Java 1.0 - Java 17 Parser with advanced analysis functionalities. The project binaries are available in Maven Central. We strongly advise users to adopt Maven, Gradle or another build system for their projects. If you are not familiar with them we suggest taking a look at the maven quickstart projects. Since Version 3.5.10, the JavaParser project includes the JavaSymbolSolver. While JavaParser generates an Abstract Syntax Tree,... -
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R3nzSkin
Skin changer for League of Legends (LOL)
R3nzSkin is an internal skin changer for League of Legends. Change the skin of your champion, your ward, other champions, towers, minions, and jungle monsters in the game. If your CPU supports the AVX / AVX2 / AVX-512 instruction set, you can enable it in project settings. This should result in more performant code, optimized for your CPU. Currently, SSE2 instructions are selected in project settings. Change skins anytime and unlimited times in a single game. Supports all popular languages... -
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theHarvester
E-mails, subdomains and names
theHarvester is a very simple to use, yet powerful and effective tool designed to be used in the early stages of a penetration test or red team engagement. Use it for open source intelligence (OSINT) gathering to help determine a company's external threat landscape on the internet. The tool gathers emails, names, subdomains, IPs and URLs using multiple public data sources. -
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Bebop
No ceremony, just code. Blazing fast, typesafe binary serialization
Bebop enables schema-based, typesafe, binary serialization and code generation. It is designed to be a good fit for client–server or distributed web apps that require a faster, more concise, and more typesafe alternative to JSON or MessagePack, while avoiding the complexity of Protocol Buffers, FlatBuffers, and similar solutions. -
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The Futhark Programming Language
A data-parallel functional programming language
Futhark is a small programming language designed to be compiled into efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimizing ahead-of-time compiler that presently generates either GPU code via CUDA and OpenCL, or multi-threaded CPU code. Futhark is not designed for graphics programming, but can instead use the compute power of the GPU to accelerate data-parallel array computations. ... -
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RStudio
RStudio is an integrated development environment (IDE) for R
RStudio is a powerful, full-featured integrated development environment (IDE) tailored primarily for the R programming language but increasingly supportive of other languages like Python and Julia. It brings together console, editor, plotting, workspace, history, and file-management panes into a unified interface, helping data scientists, statisticians, and analysts to work more productively. The IDE is cross-platform: there are desktop versions for Windows, macOS and Linux, as well as a server version for remote or multi-user deployment via a web browser. In addition to code editing and execution, RStudio offers extensive support for reproducible research via R Markdown, notebooks, and integration with version control systems like Git and SVN. ... -
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workflowr
Organize your project into a research website
workflowr is an R package that helps researchers organize, version, and share their data science projects in a reproducible and transparent manner. It combines R Markdown, Git, and a structured file system to create a research website that tracks analysis, results, and code changes over time. It’s ideal for academic and collaborative research workflows.