Showing 543 open source projects for "new"

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  • Red Hat Ansible Automation Platform on Microsoft Azure Icon
    Red Hat Ansible Automation Platform on Microsoft Azure

    Red Hat Ansible Automation Platform on Azure allows you to quickly deploy, automate, and manage resources securely and at scale.

    Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
  • SKUDONET Open Source Load Balancer Icon
    SKUDONET Open Source Load Balancer

    Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

    SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
  • 1
    Braket.jl

    Braket.jl

    Experimental Julia implementation of the Amazon Braket SDK

    Braket.jl is not an officially supported AWS product. This package is a Julia implementation of the Amazon Braket SDK allowing customers to access Quantum Hardware and Simulators. This is experimental software, and support may be discontinued in the future. For a fully supported SDK, please use the Python SDK. We may change, remove, or deprecate parts of the API when making new releases. Please review the CHANGELOG for information about changes in each release.
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  • 2
    AbstractFFTs.jl

    AbstractFFTs.jl

    A Julia framework for implementing FFTs

    A general framework for fast Fourier transforms (FFTs) in Julia. This package is mainly not intended to be used directly. Instead, developers of packages that implement FFTs (such as FFTW.jl or FastTransforms.jl) extend the types/functions defined in AbstractFFTs. This allows multiple FFT packages to co-exist with the same underlying fft(x) and plan_fft(x) interface.
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  • 3
    ComponentArrays.jl

    ComponentArrays.jl

    Arrays with arbitrarily nested named components

    The main export of this package is the ComponentArray type. "Components" of ComponentArrays are really just array blocks that can be accessed through a named index. This will create a new ComponentArray whose data is a view into the original, allowing for standalone models to be composed together by simple function composition. In essence, ComponentArrays allow you to do the things you would usually need a modeling language for, but without actually needing a modeling language. The main targets...
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  • 4
    Molly.jl

    Molly.jl

    Molecular simulation in Julia

    Much of science can be explained by the movement and interaction of molecules. Molecular dynamics (MD) is a computational technique used to explore these phenomena, from noble gases to biological macromolecules. Molly.jl is a pure Julia package for MD, and for the simulation of physical systems more broadly. The package is described in a talk at Enzyme Conference 2023 and an earlier talk at the JuliaMolSim minisymposium at JuliaCon 2022. Slides are also available for a tutorial in September 2023.
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  • Top-Rated Free CRM Software Icon
    Top-Rated Free CRM Software

    216,000+ customers in over 135 countries grow their businesses with HubSpot

    HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
  • 5
    ChainRules.jl

    ChainRules.jl

    Forward and reverse mode automatic differentiation primitives

    The ChainRules package provides 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. The core logic of ChainRules is implemented in ChainRulesCore.jl. To add ChainRules support to your package, by defining new rules or frules, you only need to depend on the very light-weight package ChainRulesCore.jl. This repository contains ChainRules.jl, which is what people actually use...
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  • 6
    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...
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  • 7
    Plots

    Plots

    Powerful convenience for Julia visualizations and data analysis

    ...-offs, you can just switch to another backend with one command. No need to change your code. No need to learn a new syntax. Plots might be the last plotting package you ever learn.
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  • 8
    re_data

    re_data

    re_data - fix data issues before your users & CEO would discover them

    re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up Slack notifications to always know when a new report is produced or an existing one got updated.
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  • 9
    Name Your Price Event Tickets

    Name Your Price Event Tickets

    Bridge plugin for adding Name Your Price support

    Bridge plugin for adding Name Your Price support to Modern Tribe's Events Tickets Plus. Plugin updates can be enabled by installing the Git Updater plugin. Create a new event. Create ticket for that event. In the ticket admin, check the "Name Your Price" checkbox. Fill in suggested and minimum prices as needed and save ticket.
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  • Find out just how much your login box can do for your customer | Auth0 Icon
    Find out just how much your login box can do for your customer | Auth0

    With over 53 social login options, you can fast-track the signup and login experience for users.

    From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
  • 10
    gh-dash

    gh-dash

    A beautiful CLI dashboard for GitHub

    A GitHub (gh) CLI extension to display a dashboard with pull requests and issues by filters you care about. Write multiple configuration files to easily switch between completely different dashboards. Repo name-to-path mappings can be an exact match (full name, full path) or wildcard matched using the owner and partial path. To override the default set of terminal colors and instead create your own color scheme, you can define one in your config.yml file. If you choose to go this route, you...
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  • 11
    ECharts

    ECharts

    A powerful, interactive charting and visualization library for browser

    ..., a new and lightweight canvas library.
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  • 12
    InteractiveViz.jl

    InteractiveViz.jl

    Interactive visualization tools for Julia

    Julia already has a rich set of plotting tools in the form of the Plots and Makie ecosystems, and various backends for these. So why another plotting package? InteractiveViz is not a replacement for Plots or Makie, but rather a graphics pipeline system developed on top of Makie. It has a few objectives. To provide a simple API to visualize large or possibly infinite datasets (tens of millions of data points) easily. To enable interactivity, and be responsive even with large amounts of data....
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  • 13
    Wavelets.jl

    Wavelets.jl

    A Julia package for fast discrete wavelet transforms and utilities

    ...). Included lifting schemes are currently only for Haar and Daubechies (under development). A new lifting scheme can be easily constructed by users. The current implementation of the lifting transforms is 2x faster than the filter transforms. Thresholding, best basis, and denoising functions, e.g. TI denoising by cycle spinning, best basis for WPT, noise estimation, and matching pursuit.
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  • 14
    PowerSimulations.jl

    PowerSimulations.jl

    Julia for optimization simulation and modeling of PowerSystems

    ... modeling framework is enabled through a modular set of capabilities that enable scalable power system analysis and exploration of new analysis methods. The modularity of PowerSimulations results from the structure of the simulations enabled by the package. Simulations define a set of problems that can be solved using numerical techniques.
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  • 15
    Pkg Julia

    Pkg Julia

    Package manager for the Julia programming language

    ... haven’t used in a while only to find that you can’t get anything to work because you’ve updated or uninstalled some of the packages your project was using, you’ll understand the motivation for this approach. In Pkg, since each project maintains its own independent set of package versions, you’ll never have this problem again. Moreover, if you check out a project on a new system, you can simply materialize the environment described by its manifest file and immediately be up and running.
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  • 16
    Semantic Type Detection

    Semantic Type Detection

    Metadata/data identification Java library

    ... notes below. Minimal false positives for Semantic type detection. See Performance notes below. Usable in either Streaming, Bulk or Record mode. Broad country/language support - including US, Canada, Mexico, Brazil, UK, Australia, much of Europe, Japan and China. Support for sharded analysis (i.e. Analysis results can be merged) Once stream is profiled then subsequent samples can be validated and/or new samples can be generated.
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  • 17
    dbt-re-data

    dbt-re-data

    re_data - fix data issues before your users & CEO would discover them

    ... Slack notifications to always know when a new report is produced or an existing one got updated.
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  • 18
    Apache Hudi

    Apache Hudi

    Upserts, Deletes And Incremental Processing on Big Data

    Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. Hudi provides...
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  • 19
    Apache SeaTunnel

    Apache SeaTunnel

    SeaTunnel is a distributed, high-performance data integration platform

    SeaTunnel is a very easy-to-use ultra-high-performance distributed data integration platform that supports real-time synchronization of massive data. It can synchronize tens of billions of data stably and efficiently every day, and has been used in the production of nearly 100 companies. There are hundreds of commonly-used data sources of which versions are incompatible. With the emergence of new technologies, more data sources are appearing. It is difficult for users to find a tool that can...
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  • 20
    iRODS

    iRODS

    Open Source Data Management Software

    ... support for microservices, storage resources, authentication mechanisms, network protocols, rule engines, new API endpoints, and databases; and extensive documentation, training, and support services.
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  • 21
    Koop

    Koop

    Transform, query, and download geospatial data on the web

    ... including vector-tile, WMS, and plain old GeoJSON. Koop's plugin-architecture facilitates custom deployments specific to your needs. "Provider" plugins to connect to novel data formats and translate to a common format (GeoJSON), while "output" plugins then transform that GeoJSON to other specifications. See a list of plugins already authored and maintained here. If you have a novel data source or require an as-yet unsupported output format, new plugins can be easily developed and integrated.
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  • 22
    DataGym.ai

    DataGym.ai

    Open source annotation and labeling tool for image and video assets

    DATAGYM enables data scientists and machine learning experts to label images up to 10x faster. AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products. Accelerate your computer vision projects by cutting down data preparation time up to 50%. A machine learning model is only as good as its training data. DATAGYM is an end-to-end workbench to create, annotate, manage, and export the right training data...
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  • 23
    Quadratic

    Quadratic

    Data science spreadsheet with Python & SQL

    Quadratic enables your team to work together on data analysis to deliver better results, faster. You already know how to use a spreadsheet, but you’ve never had this much power before. Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today...
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  • 24
    LinDB

    LinDB

    LinDB is a scalable, high performance, high availability database

    ... is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. And the tags-based sharding strategy resolves the hotspot problem. LinDB is designed to work under a Multi-Active IDCs cloud architecture. The compute layer of LinDB, called brokers, supports efficient Multi-IDCs aggregation query.
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  • 25
    data-diff

    data-diff

    Efficiently diff rows across two different databases

    We're excited to announce the launch of a new open-source product, data-diff that makes comparing datasets across databases fast at any scale. data-diff automates data quality checks for data replication and migration. In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across...
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