Search Results for "bank management system"

Showing 2 open source projects for "bank management system"

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    Make Recruiting and Onboarding Easy

    Simple, easy-to-use applicant tracking and employee Onboarding system for any sized organization.

    Take away the pain and hassle associated with applicant recruitment, hiring, and onboarding with ApplicantStack. Designed for HR professionals and recruiters, ApplicantStack helps streamline the recruiting and onboarding processes to improve productivity and reduce costs. ApplicantStack provides a complete toolkit that includes tools for posting, launching, and advertising jobs, assessing and managing candidates, collaborating with teams, centralizing information for quick hiring and onboarding, and more.
  • Better time tracking for projects, billing, and payroll Icon
    Better time tracking for projects, billing, and payroll

    Journyx makes it easy to gather accurate time and expense data so you can make smarter, more informed business decisions.

    This product is especially great for project managers, COOs, finance professionals, accountants, or payroll admins in any industry.
  • 1
    ggplot2

    ggplot2

    An implementation of the Grammar of Graphics in R

    ggplot2 is a system written in R for declaratively creating graphics. It is based on The Grammar of Graphics, which focuses on following a layered approach to describe and construct visualizations or graphics in a structured manner. With ggplot2 you simply provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it will take care of the rest. ggplot2 is over 10 years old and is used by hundreds of thousands of people all over the world...
    Downloads: 36 This Week
    Last Update:
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  • 2
    nichenetr

    nichenetr

    NicheNet: predict active ligand-target links between interacting cells

    nichenetr: the R implementation of the NicheNet method. The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest. This model of prior information on...
    Downloads: 0 This Week
    Last Update:
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