Showing 28865 open source projects for "gt-data"

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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.
  • EBizCharge Payment Platform for Accounts Receivable Icon
    EBizCharge Payment Platform for Accounts Receivable

    Getting paid has never been easier.

    Don’t let unpaid invoices limit your business’s growth. EBizCharge plugs directly into the tools your business already uses to speed up payment collection.
  • 1
    gt R

    gt R

    Easily generate information-rich, publication-quality tables from R

    With the gt package, anyone can make wonderful-looking tables using the R programming language. The gt philosophy: we can construct a wide variety of useful tables with a cohesive set of table parts. These include the table header, the stub, the column labels and spanner column labels, the table body, and the table footer. It all begins with table data (be it a tibble or a data frame). You then decide how to compose your gt table with the elements and formatting you need for the task at hand...
    Downloads: 0 This Week
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  • 2
    Orange Data Mining

    Orange Data Mining

    Orange: Interactive data analysis

    Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration...
    Downloads: 25 This Week
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  • 3
    Azure Data Studio

    Azure Data Studio

    A data management tool that enables working with other SQL tools

    Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. Use Azure Data Studio to query, design, and manage your databases and data...
    Downloads: 9 This Week
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  • 4
    Explorer

    Explorer

    Series (one-dimensional) and dataframes (two-dimensional)

    Explorer brings series (one-dimensional) and data frames (two-dimensional) to Elixir for fast data exploration.
    Downloads: 0 This Week
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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.
  • 5
    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...
    Downloads: 0 This Week
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  • 6
    AWS Data Wrangler

    AWS Data Wrangler

    Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.

    An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual...
    Downloads: 3 This Week
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  • 7
    v2rayNG

    v2rayNG

    A V2Ray client for Android, support Xray core and v2fly core

    A V2Ray client for Android supports Xray core and v2fly core. geoip.dat and geosite.dat files are in Android/data/com.v2ray.ang/files/assets (path may differ on some Android devices). Download feature will get an enhanced version in this repo (Note it need a working proxy). The latest official domain list and ip list can be imported manually. It's possible to use third-party dat files in the same folder, like h2y. Android projects under V2rayNG folder can be compiled directly in Android Studio...
    Downloads: 5,486 This Week
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  • 8
    Azure Data SQL Samples

    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 download...
    Downloads: 1 This Week
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  • 9
    The CUE Data Constraint Language

    The CUE Data Constraint Language

    The home of the CUE language. Validate and define text-based config

    CUE is an open source data constraint language which aims to simplify tasks involving defining and using data. CUE merges the notion of schema and data. The same CUE definition can simultaneously be used for validating data and act as a template to reduce boilerplate. Schema definition is enriched with fine-grained value definitions and default values. At the same time, data can be simplified by removing values implied by such detailed definitions. The merging of these two concepts enables many...
    Downloads: 0 This Week
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  • Business Continuity Solutions | ConnectWise BCDR Icon
    Business Continuity Solutions | ConnectWise BCDR

    Build a foundation for data security and disaster recovery to fit your clients’ needs no matter the budget.

    Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
  • 10
    Rust Data Analysis

    Rust Data Analysis

    Rust for data analysis encyclopedia (WIP)

    Welcome to the Rust Data Analysis repository! This collection of Jupyter notebooks provides a comprehensive exploration of data analysis using Rust. Powered by a Rust kernel, these notebooks allow you to dive deep into the realm of data analysis, leveraging the capabilities of the Rust programming language. With the help of various Rust libraries, such as ndarray, plotters, and more, you'll be able to extract valuable insights from different datasets with ease.
    Downloads: 0 This Week
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  • 11
    sq data wrangler

    sq data wrangler

    sq data wrangler

    sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure...
    Downloads: 0 This Week
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  • 12
    Data Annotator for Machine Learning

    Data Annotator for Machine Learning

    Data annotator for machine learning

    Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning. Data Annotator for Machine Learning (DAML) is an application that helps machine learning teams facilitate the creation and management of annotations. Active learning with uncertain sampling to query unlabeled data. Project tracking with real-time data aggregation and review process. User management panel with role-based access control.
    Downloads: 0 This Week
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  • 13
    dude uncomplicated data extraction

    dude uncomplicated data extraction

    dude uncomplicated data extraction: A simple framework

    Dude is a very simple framework for writing web scrapers using Python decorators. The design, inspired by Flask, was to easily build a web scraper in just a few lines of code. Dude has an easy-to-learn syntax. Dude is currently in Pre-Alpha. Please expect breaking changes. You can run your scraper from terminal/shell/command-line by supplying URLs, the output filename of your choice and the paths to your python scripts to dude scrape command.
    Downloads: 0 This Week
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  • 14
    AWESOME DATA SCIENCE

    AWESOME DATA SCIENCE

    Awesome Data Science repository to learn and apply for real world

    An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing...
    Downloads: 0 This Week
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  • 15
    Spring Data R2DBC

    Spring Data R2DBC

    Provide support to increase developer productivity in Java

    Provide support to increase developer productivity in Java when using Reactive Relational Database Connectivity. Uses familiar Spring concepts such as a DatabaseClient for core API usage and lightweight repository-style data access. 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. Spring Data JDBC, part of the larger...
    Downloads: 0 This Week
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  • 16
    Spring Data Neo4j

    Spring Data Neo4j

    Provide support to increase developer productivity in Java

    Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction...
    Downloads: 0 This Week
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  • 17
    Spring Data REST

    Spring Data REST

    Simplifies building hypermedia-driven REST web services

    Spring Data REST is part of the umbrella Spring Data project and makes it easy to build hypermedia-driven REST web services on top of Spring Data repositories. Spring Data REST builds on top of Spring Data repositories, analyzes your application’s domain model and exposes hypermedia-driven HTTP resources for aggregates contained in the model. Exposes a discoverable REST API for your domain model using HAL as media type. Exposes collection, item and association resources representing your model...
    Downloads: 0 This Week
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  • 18
    Spring Data MongoDB

    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 database...
    Downloads: 0 This Week
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  • 19
    Spring Data Redis

    Spring Data Redis

    Provides support to increase developer productivity in Java

    Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. 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. Connection package as low-level abstraction across...
    Downloads: 0 This Week
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  • 20
    Spring Data JPA

    Spring Data JPA

    Simplifies the development of creating a JPA-based data access layer

    Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based repositories. This module deals with enhanced support for JPA-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code has to be written to execute simple queries as well as perform pagination, and auditing. Spring Data JPA...
    Downloads: 0 This Week
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  • 21
    Cookiecutter Data Science

    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! And we're not talking...
    Downloads: 0 This Week
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  • 22
    DQO Data Quality Operations Center

    DQO Data Quality Operations Center

    Data Quality Operations Center

    DQO is an DataOps friendly data quality monitoring tool with customizable data quality checks and data quality dashboards. DQO comes with around 100 predefined data quality checks which helps you monitor the quality of your data. Table and column-level checks which allows writing your own SQL queries. Daily and monthly date partition testing. Data segmentation by up to 9 different data streams. Build-in scheduling. Calculation of data quality KPIs which can be displayed on multiple built...
    Downloads: 0 This Week
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  • 23
    ProtonVPN for Android

    ProtonVPN for Android

    ProtonVPN Android app

    The Proton VPN app for Android is intuitive to use, offers lots of useful features, and keeps you secure and private when surfing the internet. Once the app is installed, open it and log in with your Proton VPN username and password. If you are a Proton Mail user, you can access the Proton VPN Free plan by logging in with your Proton Mail username and password. Touch the Quick Connect button to automatically connect to the fastest VPN server for your location. You can also choose to connect...
    Downloads: 778 This Week
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  • 24
    Laravel Data

    Laravel Data

    Powerful data objects for Laravel

    This package enables the creation of rich data objects which can be used in various ways. Using this package you only need to describe your data once.
    Downloads: 0 This Week
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  • 25
    Micronaut Data

    Micronaut Data

    Ahead of Time Data Repositories

    Micronaut Data is a database access toolkit that uses Ahead of Time (AoT) compilation to pre-compute queries for repository interfaces that are then executed by a thin, lightweight runtime layer. Both GORM and Spring Data maintain a runtime meta-model that uses reflection to model relationships between entities. This model consumes significant memory and memory requirements grow as your application size grows. The problem is worse when combined with Hibernate which maintains its own meta-model...
    Downloads: 0 This Week
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