Showing 2 open source projects for "python data analysis"

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    Turn traffic into pipeline and prospects into customers

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    Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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  • Failed Payment Recovery for Subscription Businesses Icon
    Failed Payment Recovery for Subscription Businesses

    For subscription companies searching for a failed payment recovery solution to grow revenue, and retain customers.

    FlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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  • 1
    SPX

    SPX

    A simple & straight-to-the-point PHP profiling extension

    ...Multi metrics capable: 22 are currently supported (various time & memory metrics, included files, objects in use, I/O...). Able to collect data without losing context. For example Xhprof (and potentially its forks) aggregates data per caller / callee pairs, which implies the loss of the full call stack and forbids timeline or Flamegraph based analysis.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Reactive Extensions for JavaScript

    Reactive Extensions for JavaScript

    An API for asynchronous programming with observable streams

    An API for asynchronous programming with observable streams. The Observer pattern done right. ReactiveX is a combination of the best ideas from. The Observer pattern, the Iterator pattern, and functional programming. ReactiveX is everywhere, and it's meant for everything. Available for idiomatic Java, Scala, C#, C++, Clojure, JavaScript, Python, Groovy, JRuby, and others. Embrace ReactiveX's asynchronicity, enabling concurrency and implementation independence. Manipulate UI events and API...
    Downloads: 0 This Week
    Last Update:
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