Showing 4 open source projects for "python data analysis"

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  • One Unified Time Tracking Software For Projects, Billing, Pay and Compliance Icon
    One Unified Time Tracking Software For Projects, Billing, Pay and Compliance

    For companies of all sizes looking for a Time Tracking software

    Replicon's time-tracking platform is scalable and configurable to support the diverse needs of small, mid & large businesses with a remote and globally distributed workforce. Replicon’s Time Tracking is a cloud-based, enterprise-grade solution that tracks employee time across projects, tasks, presence, and absence to facilitate client billing, project costing, and compliant payroll processing. The scalable and configurable platform offers seamless integration with common business technology stacks, such as ERP, CRM, Accounting, and payroll solutions. With AI-powered time capture, mobile apps, and labor compliance as a service, Replicon makes time tracking hassle-free.
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  • Project Planning and Management Software | Planview Icon
    Project Planning and Management Software | Planview

    For Enterprise PMOs

    Planview® ProjectAdvantage (formerly Sciforma) is an enterprise-centric project and portfolio management (PPM) software designed to enable change, drive innovation, and lead in a company's digital transformation. With ProjectAdvantage, teams can strategically track and monitor project data in order to make relevant decisions. It offers multiple features focused on strategic management, functional management, and execution management. A highly scalable and cost-effective solution, ProjectAdvantage is available in various deployment models.
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  • 1
    Linkedin Scraper

    Linkedin Scraper

    A library that scrapes Linkedin for user data

    Linkedin Scraper is a library that scrapes Linkedin for user data. Version 2.0.0 and before is called linkedin_user_scraper and can be installed via pip3 install --user linkedin_user_scraper. The reason is that LinkedIn has recently blocked people from viewing certain profiles without having previously signed in. So by setting scrape=False, it doesn't automatically scrape the profile, but Chrome will open the linkedin page anyways. You can login and logout, and the cookie will stay in the...
    Downloads: 4 This Week
    Last Update:
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  • 2
    hosts

    hosts

    Consolidate and extend hosts files from several well-curated sources

    Consolidating and extending hosts files from several well-curated sources. You can optionally pick extensions to block pornography, social media, and other categories. The unified hosts file is optionally extensible. Extensions are used to include domains by category. Currently, we offer the following categories: fakenews, social, gambling, and porn. Extensions are optional, and can be combined in various ways with the base hosts file. The combined products are stored in the alternates...
    Downloads: 8 This Week
    Last Update:
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  • 3
    OpenWPM

    OpenWPM

    A web privacy measurement framework

    OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. Although we...
    Downloads: 2 This Week
    Last Update:
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  • 4

    HomeTabs

    HomeTabs project helps you to organize bookmarks for web browsers

    HomeTabs project helps you to organize bookmarks for web browsers (like a standart browser's home page, but cooler and more comfortable). Design of HomeTabs was inspiried by Mozilla Firefox startpage, i think this is the best way to organise bookmarks, but history of browsing saved on homepage - is bad idea. GitHub: https://github.com/grildroid/HomeTabs Discord: https://discord.gg/6ZGDgFjDVm
    Downloads: 0 This Week
    Last Update:
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  • Attack Surface Management | Criminal IP ASM Icon
    Attack Surface Management | Criminal IP ASM

    For security operations, threat-intelligence and risk teams wanting a tool to get access to auto-monitored assets exposed to attack surfaces

    Criminal IP’s Attack Surface Management (ASM) is a threat-intelligence–driven platform that continuously discovers, inventories, and monitors every internet-connected asset associated with an organization, including shadow and forgotten resources, so teams see their true external footprint from an attacker’s perspective. The solution combines automated asset discovery with OSINT techniques, AI enrichment and advanced threat intelligence to surface exposed hosts, domains, cloud services, IoT endpoints and other Internet-facing vectors, capture evidence (screenshots and metadata), and correlate findings to known exploitability and attacker tradecraft. ASM prioritizes exposures by business context and risk, highlights vulnerable components and misconfigurations, and provides real-time alerts and dashboards to speed investigation and remediation.
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