Showing 3 open source projects for "python data analysis"

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  • Secure User Management, Made Simple | Frontegg Icon
    Secure User Management, Made Simple | Frontegg

    Get 7,500 MAUs, 50 tenants, and 5 SSOs free – integrated into your app with just a few lines of code.

    Frontegg powers modern businesses with a user management platform that’s fast to deploy and built to scale. Embed SSO, multi-tenancy, and a customer-facing admin portal using robust SDKs and APIs – no complex setup required. Designed for the Product-Led Growth era, it simplifies setup, secures your users, and frees your team to innovate. From startups to enterprises, Frontegg delivers enterprise-grade tools at zero cost to start. Kick off today.
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  • Waitlist App and Paging System Icon
    Waitlist App and Paging System

    We make it cheaper and easier to manage your waitlist, order backlog, and just about any other waiting scenario.

    Streamline your customer flow with our SMS-powered waitlist, reservations, and queue management app for restaurants, health care providers, and many other businesses.
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  • 1
    Dagster

    Dagster

    An orchestration platform for the development, production

    Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust...
    Downloads: 12 This Week
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  • 2
    Deepchecks

    Deepchecks

    Test Suites for validating ML models & data

    Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate...
    Downloads: 0 This Week
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  • 3
    The QTaste is an open-source functional and non-functional test environment offering services to developers and testers. It has been implemented following a data driven testing philosophy. (WE MOVED TO GITHUB https://github.com/qspin/qtaste) Continuous Integration available at https://qtaste.ci.cloudbees.com/
    Downloads: 0 This Week
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