Search Results for "sourceforge.net/projects/winpython/files/winpython_3.8/3.8.10.0/winpython64-3.8.10.0.7z"
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Showing 4 open source projects for "sourceforge.net/projects/winpython/files/winpython_3.8/3.8.10.0/winpython64-3.8.10.0.7z"
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Field Sales+ for MS Dynamics 365 and SalesforceBring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Timesheet / Timetracking organizer/scheduler using PHP and MySQL - manage workers, projects, companies, worktime - logging every-day come- and go-times, contracted hours, overtime, workspace and project-hours, attendance-time, holidays - create rep
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Project Complete is a Java based project management / time tracking. People can create projects and tasks, issue, list, resources, assign people to projects. Developers can also enter their time. Hopefully, UML / documentation will also be incorporated.
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A web-based project management and development environment written in PHP. Provides a means for developers of a single project or many projects to manage the difficulties of keeping in touch and up to date.
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Project Gaffel is an organizer for consultant companies that need to keep track of time spent on different projects for different customers.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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