4 projects for "developers console" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
    Start Free
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 1
    setupdocx

    setupdocx

    Multidocument automation by templates - for sphinx, mkdocs, epydoc ...

    The ‘setupdocx‘ provides a control layer for continuous documentation by the simplified creation, packaging, and installation of documentation. The provided commands are distributed as entry points and optional base classes for further customization into 'setup.py' - setuptools / distutils. Manages arbitrary document templates for the supported builder, supports multiple builds with arbitrary document layouts, designs, and patched contents. The current release supports the following...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Interactive PHP shell Create an interactive environment to debug php line by line. It enables you to execute php code as if it were a command line in a similar setting to bash and psh (perl shell).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    A set of tools and utilities that allow development teams to practice code generation techniques in a scalable and extensible manner. This is based on the style of code generation found in Ruby on Rails.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    PEP is a modelling and verification framework for parallel systems, providing a large number of different modelling languages and verification techniques (e.g. SDL, Petri nets and model checking)
    Downloads: 1 This Week
    Last Update:
    See Project
  • Go From AI Idea to AI App Fast Icon
    Go From AI Idea to AI App Fast

    One platform to build, fine-tune, and deploy ML models. No MLOps team required.

    Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
    Try Free
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB