Search Results for "python time series analysis"
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Showing 4 open source projects for "python time series analysis"
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Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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Haproxy Time
Haproxy connection time log analyser
A log parser for Haproxy that provide connection time statistics. Haproxy log parser Embeded email reporting -
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pyLastFM graph is commandline tool for creating a nice looking graph time graph from Last.fm profile data. It uses the audioscrobbler.net XML interface and can create very high resolution output images.
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PyEximon is a GNOME monitor/manager for the popular MTA, Exim. It includes real-time status graphs and log updates, colored log browsing, hierarchial message lists, as well as a graphical interface to common message functions.
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This is a Firewall and IDS front-end, the main purpose is simplify configuration of Iptables and Fwsnort and Psad management. The Firewall provides an experimental feature to decide in real-time about each outgoing connection.
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Failed Payment Recovery for Subscription BusinessesFlexPay’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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