Showing 3 open source projects for "python framework"

View related business solutions
  • Field Service+ for MS Dynamics 365 & Salesforce Icon
    Field Service+ for MS Dynamics 365 & Salesforce

    Empower your field service with mobility and reliability

    Resco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
    Learn More
  • The AI workplace management platform Icon
    The AI workplace management platform

    Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.

    By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
    Learn More
  • 1
    Django MarkdownX

    Django MarkdownX

    Comprehensive Markdown plugin built for Django

    Django MarkdownX is a comprehensive Markdown plugin built for Django, the renowned high-level Python web framework, with flexibility, extensibility, and ease-of-use at its core.
    Downloads: 9 This Week
    Last Update:
    See Project
  • 2
    Zerox OCR

    Zerox OCR

    PDF to Markdown with vision models

    A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense. ZeroX is an open-source machine learning framework designed for fast experimentation and production deployment, optimized for speed and ease of use.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 3
    ARIS

    ARIS

    Lightweight Markdown-only skills for autonomous ML research

    ARIS is an experimental automation framework that leverages AI coding agents to perform continuous research and development tasks autonomously, even without active user supervision. The system is designed to run iterative cycles of research, coding, testing, and refinement, effectively simulating a “sleep mode” where productive work continues in the background. It integrates with AI tools such as Claude Code to generate solutions, analyze results, and improve outputs over time. The project...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB