Best Data Quality Software for GitHub

Find and compare the best Data Quality software for GitHub in 2025

Use the comparison tool below to compare the top Data Quality software for GitHub on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Zuar Runner Reviews
    It shouldn't take long to analyze data from your business solutions. Zuar Runner allows you to automate your ELT/ETL processes, and have data flow from hundreds of sources into one destination. Zuar Runner can manage everything: transport, warehouse, transformation, model, reporting, and monitoring. Our experts will make sure your deployment goes smoothly and quickly.
  • 2
    Flowcore Reviews

    Flowcore

    Flowcore

    $10/month
    The Flowcore platform offers a comprehensive solution for event streaming and event sourcing, all within a single, user-friendly service. It provides a seamless data flow and reliable replayable storage, specifically tailored for developers working at data-centric startups and enterprises striving for continuous innovation and growth. Your data operations are securely preserved, ensuring that no important information is ever compromised. With the ability to instantly transform and reclassify your data, it can be smoothly directed to any necessary destination. Say goodbye to restrictive data frameworks; Flowcore's flexible architecture evolves alongside your business, effortlessly managing increasing data volumes. By optimizing and simplifying backend data tasks, your engineering teams can concentrate on their core strengths—developing groundbreaking products. Moreover, the platform enables more effective integration of AI technologies, enhancing your offerings with intelligent, data-informed solutions. While Flowcore is designed with developers in mind, its advantages reach far beyond just the technical team, benefiting the entire organization in achieving its strategic goals. With Flowcore, you can truly elevate your data strategy to new heights.
  • 3
    Adverity Reviews
    Adverity is the fully-integrated data platform for automating the connectivity, transformation, governance and utilization of data at scale. Adverity is the simplest way to get your data how you want it, where you want it, and when you need it. The platform enables businesses to blend disparate datasets such as sales, finance, marketing, and advertising, to create a single source of truth over business performance. Through automated connectivity to hundreds of data sources and destinations, unrivaled data transformation options, and powerful data governance features, Adverity is the easiest way to get your data how you want it, where you want it, and when you need it.
  • 4
    Mozart Data Reviews
    Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.
  • 5
    Foundational Reviews
    Detect and address code and optimization challenges in real-time, mitigate data incidents before deployment, and oversee data-affecting code modifications comprehensively—from the operational database to the user interface dashboard. With automated, column-level data lineage tracing the journey from the operational database to the reporting layer, every dependency is meticulously examined. Foundational automates the enforcement of data contracts by scrutinizing each repository in both upstream and downstream directions, directly from the source code. Leverage Foundational to proactively uncover code and data-related issues, prevent potential problems, and establish necessary controls and guardrails. Moreover, implementing Foundational can be achieved in mere minutes without necessitating any alterations to the existing codebase, making it an efficient solution for organizations. This streamlined setup promotes quicker response times to data governance challenges.
  • 6
    Datafold Reviews
    Eliminate data outages by proactively identifying and resolving data quality problems before they enter production. Achieve full test coverage of your data pipelines in just one day, going from 0 to 100%. With automatic regression testing across billions of rows, understand the impact of each code modification. Streamline change management processes, enhance data literacy, ensure compliance, and minimize the time taken to respond to incidents. Stay ahead of potential data issues by utilizing automated anomaly detection, ensuring you're always informed. Datafold’s flexible machine learning model adjusts to seasonal variations and trends in your data, allowing for the creation of dynamic thresholds. Save significant time spent analyzing data by utilizing the Data Catalog, which simplifies the process of locating relevant datasets and fields while providing easy exploration of distributions through an intuitive user interface. Enjoy features like interactive full-text search, data profiling, and a centralized repository for metadata, all designed to enhance your data management experience. By leveraging these tools, you can transform your data processes and improve overall efficiency.
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