Showing 72 open source projects for "Dependency"

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  • 1
    VS Code Java Dependency

    VS Code Java Dependency

    Manage Java projects in Visual Studio Code

    This lightweight VS Code extension enhances the Java Project Explorer by displaying dependency trees and JARs. It complements Red Hat’s Java Language Support and simplifies dependency management.
    Downloads: 0 This Week
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  • 2
    Gradle Task Tree

    Gradle Task Tree

    Gradle plugin that adds a 'taskTree' task that prints task dependency

    A Gradle plugin that adds a taskTree task to your build. Running it prints out a hierarchical, easy‑to‑read task dependency tree, helping you visualize the build execution order.
    Downloads: 0 This Week
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  • 3
    Dependency Finder
    Extracts dependencies and OO metrics from Java class files produced by most Java compilers. Computes API differences between versions. No source needed. Includes both Swing and command-line interfaces, with XSL stylesheets for formatting output.
    Downloads: 0 This Week
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  • 4
    better-all

    better-all

    Better Promise.all with automatic dependency optimization

    ...This approach increases readability, reduces boilerplate, and optimizes execution timing based on actual dependency relations rather than naive static ordering.
    Downloads: 0 This Week
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    Acorn PM

    Acorn PM

    Built with Holochain, Acorn is an open-source, peer-to-peer pm

    Acorn is an alpha‑stage, open‑source, peer‑to‑peer project management tool built using Holochain. It offers a distributed, serverless alternative to Scrum by enabling teams to collaboratively set “Intended Outcomes” within a dependency‑tree framework—ideal for managing decentralized development workflows.
    Downloads: 0 This Week
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  • 6
    uv

    uv

    An extremely fast Python package and project manager, written in Rust

    An extremely fast Python package and project manager, written in Rust.
    Downloads: 36 This Week
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  • 7
    SciMLBase.jl

    SciMLBase.jl

    The Base interface of the SciML ecosystem

    SciMLBase.jl is the core interface definition of the SciML ecosystem. It is a low-dependency library made to be depended on by the downstream libraries to supply the common interface and allow for the interexchange of mathematical problems. The SciML common interface ties together the numerical solvers of the Julia package ecosystem into a single unified interface. It is designed for maximal efficiency and parallelism, while incorporating essential features for large-scale scientific machine learning such as differentiability, composability, and sparsity.
    Downloads: 0 This Week
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  • 8
    ChainRulesCore

    ChainRulesCore

    AD-backend agnostic system defining custom forward and reverse rules

    ...This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system. The ChainRulesCore package provides a light-weight dependency for defining sensitivities for functions in your packages, without you needing to depend on ChainRules itself. This will allow your package to be used with ChainRules.jl, which aims to provide a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives.
    Downloads: 0 This Week
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  • 9
    BinaryBuilder

    BinaryBuilder

    Binary Dependency Builder for Julia

    Binary Dependency Builder for Julia. Building binary packages is a pain. BinaryBuilder follows a philosophy that is similar to that of building Julia itself; when you want something done right, you do it yourself. To that end, BinaryBuilder is designed from the ground up to facilitate the building of packages within an easily reproducible and reliable Linux environment, ensuring that the built libraries and executables are deployable to every platform that Julia itself will run on. ...
    Downloads: 0 This Week
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  • 10
    targets

    targets

    Function-oriented Make-like declarative workflows for R

    The targets package is a pipeline / workflow management tool in R, designed to coordinate multi‐step computational workflows in data science / statistics. It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping...
    Downloads: 0 This Week
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  • 11
    Tillywork

    Tillywork

    Opensource work management solution

    Tillywork is a workflow automation and job scheduling system built on top of PostgreSQL. It’s designed for executing complex job chains with dependency management and error handling. Tillywork leverages SQL to define workflows, making it well-suited for data engineers and backend teams who want fine-grained control without adding a new runtime.
    Downloads: 3 This Week
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  • 12
    Rackula

    Rackula

    Drag and drop rack visualizer

    Rackula is a browser-based rack layout designer aimed at homelabbers, audio/video technicians, and equipment organizers who want a visual way to plan and document physical device racks. It runs entirely client-side with no backend server required, making it lightweight, fast, and easy to self-host or run locally without external dependencies. Users can drag and drop devices into customizable rack spaces, annotate equipment, set unit sizes, and manage complex layouts as their setup evolves....
    Downloads: 26 This Week
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  • 13
    Luigi

    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 jobs, dumping data to/from databases, running machine learning algorithms, or anything else. ...
    Downloads: 0 This Week
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  • 14
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search...
    Downloads: 3 This Week
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  • 15
    systemd

    systemd

    The systemd system and service manager

    ...It provides a system and service manager that runs as PID 1 and starts the rest of the system. systemd provides aggressive parallelization capabilities, uses socket and D-Bus activation for starting services, offers on-demand starting of daemons, keeps track of processes using Linux control groups, maintains mount and automount points, and implements an elaborate transactional dependency-based service control logic. systemd supports SysV and LSB init scripts and works as a replacement for sysvinit. Other parts include a logging daemon, utilities to control basic system configuration like the hostname, date, locale, maintain a list of logged-in users and running containers and virtual machines, system accounts, runtime directories and settings, and daemons to manage simple network configuration, network time synchronization, log forwarding, and name resolution.
    Downloads: 10 This Week
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  • 16
    Python for Data Analysis

    Python for Data Analysis

    Materials and IPython notebooks for "Python for Data Analysis"

    ...Its chapters cover Python basics, NumPy, pandas, data loading, cleaning, wrangling, visualization, time series, modeling libraries, and full analysis examples. The project includes setup options using uv or Conda, with dependency files to reproduce the working environment. It is best suited for learners, analysts, and developers who want hands-on practice with the modern Python data stack.
    Downloads: 0 This Week
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  • 17
    Compat.jl

    Compat.jl

    Compatibility across Julia versions

    The Compat package is designed to ease interoperability between older and newer versions of the Julia language. In particular, in cases where it is impossible to write code that works with both the latest Julia master branch and older Julia versions, or impossible to write code that doesn't generate a deprecation warning in some Julia version, the Compat package provides a macro that lets you use the latest syntax in a backward-compatible way. This is primarily intended for use by other...
    Downloads: 0 This Week
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  • 18
    InvoicePrinter

    InvoicePrinter

    Super simple PDF invoicing

    Super simple PDF invoicing. InvoicePrinter is a server, command line program and pure Ruby library to generate PDF invoices in no time. You can use Ruby or JSON as the invoice representation to build the final PDF.
    Downloads: 0 This Week
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  • 19
    Pkg Julia

    Pkg Julia

    Package manager for the Julia programming language

    Unlike traditional package managers, which install and manage a single global set of packages, Pkg is designed around “environments”: independent sets of packages that can be local to an individual project or shared and selected by name. The exact set of packages and versions in an environment is captured in a manifest file which can be checked into a project repository and tracked in version control, significantly improving reproducibility of projects. If you’ve ever tried to run code you...
    Downloads: 4 This Week
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  • 20
    collapse

    collapse

    Advanced and Fast Data Transformation in R

    collapse is a high-performance R package designed for fast and efficient data transformation, aggregation, reshaping, and statistical computation. Built to offer a more performant alternative to dplyr and data.table, it is particularly well-suited for large datasets and econometric applications. It operates on base R data structures like data frames and vectors and uses highly optimized C++ code under the hood to deliver significant speed improvements. collapse also includes tools for...
    Downloads: 0 This Week
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  • 21
    JLD2

    JLD2

    HDF5-compatible file format in pure Julia

    JLD2 saves and loads Julia data structures in a format comprising a subset of HDF5, without any dependency on the HDF5 C library. JLD2 is able to read most HDF5 files created by other HDF5 implementations supporting HDF5 File Format Specification Version 3.0 (i.e. libhdf5 1.10 or later) and similarly, those should be able to read the files that JLD2 produces. JLD2 provides read-only support for files created with the JLD package. The save and load functions, provided by FileIO, provide a mechanism to read and write data from a JLD2 file. ...
    Downloads: 0 This Week
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  • 22
    NBInclude.jl

    NBInclude.jl

    import code from IJulia Jupyter notebooks into Julia programs

    NBInclude is a package for the Julia language that allows you to include and execute IJulia (Julia-language Jupyter) notebook files just as you would include an ordinary Julia file. The goal of this package is to make notebook files just as easy to incorporate into Julia programs as ordinary Julia (.jl) files, giving you the advantages of a notebook (integrated code, formatted text, equations, graphics, and other results) while retaining the modularity and re-usability of .jl files.
    Downloads: 0 This Week
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  • 23
    Obsidian Visual Skills Pack

    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...
    Downloads: 0 This Week
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  • 24
    Marl

    Marl

    A hybrid thread / fiber task scheduler written in C++ 11

    marl is a lightweight C++ job system that schedules tasks on a pool of worker threads and runs them using cooperative fibers for high throughput. By decoupling “tasks” from OS threads, it minimizes context switches and lets workloads with fine-grained synchronization scale efficiently. The API is intentionally small—post tasks, wait on fences, and express dependencies—so you can retrofit it into existing engines without adopting a heavyweight framework. Under the hood, fibers allow tasks to...
    Downloads: 0 This Week
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  • 25
    PyTorch Forecasting

    PyTorch Forecasting

    Time series forecasting with PyTorch

    ...A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. Multiple neural network architectures for timeseries forecasting that have been enhanced for real-world deployment and come with in-built interpretation capabilities. The package is built on PyTorch Lightning to allow training on CPUs, single and multiple GPUs out-of-the-box.
    Downloads: 0 This Week
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