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JavaScript Data Quality Tools

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Browse free open source JavaScript Data Quality Tools and projects below. Use the toggles on the left to filter open source JavaScript Data Quality Tools by OS, license, language, programming language, and project status.

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • La version gratuite d'Auth0 s'enrichit ! Icon
    La version gratuite d'Auth0 s'enrichit !

    Gratuit pour 25 000 utilisateurs avec intégration Okta illimitée : concentrez-vous sur le développement de vos applications.

    Vous l'avez demandé, nous l'avons fait ! Les versions gratuite et payante d'Auth0 incluent des options qui vous permettent de développer, déployer et faire évoluer vos applications en toute sécurité. Utilisez Auth0 dès maintenant pour découvrir tous ses avantages.
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  • 1
    DataQualityDashboard

    DataQualityDashboard

    A tool to help improve data quality standards in data science

    The goal of the Data Quality Dashboard (DQD) project is to design and develop an open-source tool to expose and evaluate observational data quality. This package will run a series of data quality checks against an OMOP CDM instance (currently supports v5.4, v5.3 and v5.2). It systematically runs the checks, evaluates the checks against some pre-specified threshold, and then communicates what was done in a transparent and easily understandable way. The quality checks were organized according to the Kahn Framework1 which uses a system of categories and contexts that represent strategies for assessing data quality. Using this framework, the Data Quality Dashboard takes a systematic-based approach to running data quality checks. Instead of writing thousands of individual checks, we use “data quality check types”. These “check types” are more general, parameterized data quality checks into which OMOP tables, fields, and concepts can be substituted to represent a singular data quality idea.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    ETS Offers iClassicMDM - MDM Software

    ETS Offers iClassicMDM - MDM Software

    iClassicMDM offered by ETS is a Master Data Platform for all.

    We are living at an age where homes are becoming offices, and every offices need better data management tool, data management issues are spiraling. Our passion is to offer affordable data management tools to individuals and enterprises of all size. iClassicMDM is a Master Data Management application that can run on desktop, web server or containers. It allows customers to create data model as per their business needs & expose them for collaboration through a Data Stewardship User Interface & Restful API to exchange data across the ecosystem. It has built in Data Modeler, Databases, Data Quality - Cleanse & Match, Data Flow studio & Data store to accelerate the turn around time. Our customers can use the product for evaluation and once they are satisfied, they can reach out to us for pricing before go-live. We are recognized by Gartner since 2016. Contact us at info@etsondemand.com or visit www.etsondemand.com to download the software.
    Downloads: 0 This Week
    Last Update:
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