Showing 2509 open source projects for "java open source"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • 1
    Latexify.jl

    Latexify.jl

    Convert julia objects to LaTeX equations, arrays or other environments

    This is a package for generating LaTeX maths from Julia objects. This package utilizes Julia's homoiconicity to convert expressions to LaTeX-formatted strings. Latexify.jl supplies functionalities for converting a range of different Julia objects.
    Downloads: 0 This Week
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  • 2
    HStreamDB

    HStreamDB

    HStreamDB is an open-source, cloud-native streaming database

    HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications. By subscribing to streams in HStreamDB, any update of the data stream will be pushed to your apps in real-time, and this promotes your apps to be more responsive. You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB.
    Downloads: 0 This Week
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  • 3
    FiftyOne

    FiftyOne

    The open-source tool for building high-quality datasets

    The open-source tool for building high-quality datasets and computer vision models. Nothing hinders the success of machine learning systems more than poor-quality data. And without the right tools, improving a model can be time-consuming and inefficient. FiftyOne supercharges your machine learning workflows by enabling you to visualize datasets and interpret models faster and more effectively.
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  • 4
    ClearML

    ClearML

    Streamline your ML workflow

    ...The ClearML Server storing experiment, model, and workflow data, and supports the Web UI experiment manager, and ML-Ops automation for reproducibility and tuning. It is available as a hosted service and open source for you to deploy your own ClearML Server. The ClearML Agent for ML-Ops orchestration, experiment and workflow reproducibility, and scalability.
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  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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  • 5
    nango

    nango

    A single API for all your integrations.

    Nango is a single API to interact with all other external APIs. It should be the only API you need to integrate to your app. Nango is an open-source solution for integrating third-party APIs with applications, simplifying API authentication, data syncing, and management.
    Downloads: 2 This Week
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  • 6
    FinEtools.jl

    FinEtools.jl

    Finite Element tools in Julia

    FinEtools is a package for basic operations on finite element meshes: Construction, modification, selection, and evaluation of quantities defined on a mesh. Utilities are provided for maintaining mesh-based data (fields), for defining normals and loads, for working with physical units and coordinate systems, and for integrating over finite element meshes.
    Downloads: 0 This Week
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  • 7
    Querybook

    Querybook

    Big Data Querying UI, combining collocated table metadata

    Querybook is Pinterest’s open-source big data IDE via a notebook interface. Querybook’s core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible. Organize rich text, queries, and charts into a notebook to easily document your analyses. Work collaboratively with others in a DataDoc and get real-time updates.
    Downloads: 0 This Week
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  • 8
    hctsa

    hctsa

    Highly comparative time-series analysis

    hctsa is a Matlab software package for running highly comparative time-series analysis. It extracts thousands of time-series features from a collection of univariate time series and includes a range of tools for visualizing and analyzing the resulting time-series feature matrix.
    Downloads: 0 This Week
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  • 9
    ClickVisual

    ClickVisual

    Log analytic and data visualize platform built on clickhouse

    ClickVisual is a lightweight browser-based logs analytics and logs search platform for ClickHouse.
    Downloads: 0 This Week
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  • Say goodbye to broken revenue funnels and poor customer experiences Icon
    Say goodbye to broken revenue funnels and poor customer experiences

    Connect and coordinate your data, signals, tools, and people at every step of the customer journey.

    LeanData is a Demand Management solution that supports all go-to-market strategies such as account-based sales development, geo-based territories, and more. LeanData features a visual, intuitive workflow native to Salesforce that enables users to view their entire lead flow in one interface. LeanData allows users to access the drag-and-drop feature to route their leads. LeanData also features an algorithms match that uses multiple fields in Salesforce.
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  • 10
    TimeZones.jl

    TimeZones.jl

    IANA time zone database access for the Julia programming language

    IANA time zone database access for the Julia programming language. TimeZones.jl extends the Date/DateTime support for Julia to include a new time zone-aware TimeType: ZonedDateTime.
    Downloads: 0 This Week
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  • 11
    FrankWolfe.jl

    FrankWolfe.jl

    Julia implementation for various Frank-Wolfe and Conditional Gradient

    This package is a toolbox for Frank-Wolfe and conditional gradient algorithms. Frank-Wolfe algorithms were designed to solve optimization problems where f is a differentiable convex function and C is a convex and compact set. They are especially useful when we know how to optimize a linear function over C in an efficient way.
    Downloads: 0 This Week
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  • 12
    QuasiMonteCarlo.jl

    QuasiMonteCarlo.jl

    Lightweight and easy generation of quasi-Monte Carlo sequences

    Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML). This is a lightweight package for generating Quasi-Monte Carlo (QMC) samples using various different methods.
    Downloads: 0 This Week
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  • 13
    OptimalTransport.jl

    OptimalTransport.jl

    Optimal transport algorithms for Julia

    This package provides some Julia implementations of algorithms for computational optimal transport, including the Earth-Mover's (Wasserstein) distance, Sinkhorn algorithm for entropically regularized optimal transport as well as some variants or extensions. Notably, OptimalTransport.jl provides GPU acceleration through CUDA.jl and NNlibCUDA.jl.
    Downloads: 0 This Week
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  • 14
    ProbNumDiffEq.jl

    ProbNumDiffEq.jl

    Probabilistic Numerical Differential Equation solvers via Bayesian fil

    ProbNumDiffEq.jl provides probabilistic numerical ODE solvers to the DifferentialEquations.jl ecosystem. The implemented ODE filters solve differential equations via Bayesian filtering and smoothing. The filters compute not just a single point estimate of the true solution, but a posterior distribution that contains an estimate of its numerical approximation error.
    Downloads: 0 This Week
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  • 15
    ImplicitDifferentiation.jl

    ImplicitDifferentiation.jl

    Automatic differentiation of implicit functions

    ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings. Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls to external solvers, mutating operations or type restrictions. Those for which automatic differentiation is very slow. A common example is iterative procedures like fixed point equations or optimization algorithms.
    Downloads: 0 This Week
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  • 16
    Gnuplot.jl

    Gnuplot.jl

    Julia interface to gnuplot

    Gnuplot.jl is a simple package able to send both data and commands from Julia to an underlying gnuplot process. Its main purpose it to provide a fast and powerful data visualization framework, using an extremely concise Julia syntax. It also has automatic display of plots in Jupyter, Juno and VS Code.
    Downloads: 0 This Week
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  • 17
    UMAP.jl

    UMAP.jl

    Uniform Manifold Approximation and Projection (UMAP) implementation

    A pure Julia implementation of the Uniform Manifold Approximation and Projection dimension reduction algorithm. The umap function takes two arguments, X (a column-major matrix of shape (n_features, n_samples)), n_components (the number of dimensions in the output embedding), and various keyword arguments.
    Downloads: 0 This Week
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  • 18
    LatticeQCD.jl

    LatticeQCD.jl

    A native Julia code for lattice QCD with dynamical fermions in 4D

    This code enables you to perform lattice QCD calculations! A native Julia code for Lattice QCD.
    Downloads: 0 This Week
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  • 19
    InMemoryDatasets.jl

    InMemoryDatasets.jl

    Multithreaded package for working with tabular data in Julia

    InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables.
    Downloads: 0 This Week
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  • 20
    LiveServer.jl

    LiveServer.jl

    Simple development server with live-reload capability for Julia

    This is a simple and lightweight development web-server written in Julia, based on HTTP.jl. It has live-reload capability, i.e. when modifying a file, every browser (tab) currently displaying the corresponding page is automatically refreshed.
    Downloads: 0 This Week
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  • 21
    CompatHelper.jl

    CompatHelper.jl

    Automatically update the [compat] entries for your Julia dependencies

    CompatHelper.jl is a Julia package which keeps your Project.toml [compat] entries up to date.
    Downloads: 0 This Week
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  • 22
    LinearOperators.jl

    LinearOperators.jl

    Linear Operators for Julia

    Operators behave like matrices (with some exceptions - see below) but are defined by their effect when applied to a vector. They can be transposed, conjugated, or combined with other operators cheaply. The costly operation is deferred until multiplied with a vector.
    Downloads: 0 This Week
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  • 23
    PowerSimulationsDynamics.jl

    PowerSimulationsDynamics.jl

    Julia package to run Dynamic Power System simulations

    PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics.
    Downloads: 0 This Week
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  • 24
    ResumableFunctions.jl

    ResumableFunctions.jl

    C# style generators a.k.a. semi-coroutines for Julia

    C# has a convenient way to create iterators using the yield return statement. The package ResumableFunctions provides the same functionality for the Julia language by introducing the @resumable and the @yield macros. These macros can be used to replace the Task switching functions produce and consume which were deprecated in Julia v0.6. Channels are the preferred way for inter-task communication in Julia v0.6+, but their performance is subpar for iterator applications.
    Downloads: 0 This Week
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  • 25
    SciML Style Guide for Julia

    SciML Style Guide for Julia

    A style guide for stylish Julia developers

    The SciML Style Guide is a style guide for the Julia programming language. It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. ...
    Downloads: 0 This Week
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