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  • Composable, Open Source Payments Platform Icon
    Composable, Open Source Payments Platform

    Build or enhance your payments stack, while maintaining control with an open-source, full-stack and modular infrastructure.

    Juspay's Payments Orchestration Platform offers a comprehensive product suite for businesses, including open-source payment orchestration, global payouts, seamless authentication, payment tokenization, fraud & risk management, end-to-end reconciliation, unified payment analytics & more. The company’s offerings also include end-to-end white label payment gateway solutions & real-time payments infrastructure for banks. These solutions help businesses achieve superior conversion rates, reduce fraud, optimize costs, and deliver seamless customer experiences at scale.
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  • Award-winning proxy networks, AI-powered web scrapers, and business-ready datasets for download.
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    Award-winning proxy networks, AI-powered web scrapers, and business-ready datasets for download.


    How the world collects public web data

    Bright Data is a leading data collection platform, enabling businesses to collect crucial structured and unstructured data from millions of websites through our proprietary technology. Our proxy networks give you access to sophisticated target sites using precise geo-targeting. You can also use our tools to unblock tough target sites, accomplish SERP-specific data collection tasks, manage and optimize your proxy performance as well as automating all of your data collection needs.
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  • 1
    RNAseq Tutorial

    RNAseq Tutorial

    Informatics for RNA-seq: A web resource for analysis on the cloud

    ...The version in that repo is deprecated, but still maintains content for those wishing to follow the original published workflow. Includes instruction on cloud computing basics and using cloud environments for large data processing.
    Downloads: 0 This Week
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  • 2
    ExData Plotting1

    ExData Plotting1

    Plotting Assignment 1 for Exploratory Data Analysis

    ...For analysis, focus is placed on a two-day period in February 2007, highlighting short-term consumption trends. The data requires careful handling due to its size of more than 2 million rows and coded missing values. By processing the date and time fields into proper formats, it becomes possible to generate clear time-series plots of energy usage. The repository demonstrates effective exploratory data analysis practices in R with a reproducible workflow for transforming raw data into visual insights.
    Downloads: 1 This Week
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