Showing 6 open source projects for "inventory python project"

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  • Auth for GenAI | Auth0 Icon
    Auth for GenAI | Auth0

    Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.

    Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    Build gen AI apps with an all-in-one modern database: MongoDB Atlas

    MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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  • 1
    Strawberry

    Strawberry

    Zero-dependency, build-free framework for the artisanal web

    Zero-dependency, a build-free framework for the artisanal web. Strawberry is a tiny front-end framework that gives you reactivity and composability. It does this with zero dependencies, without a build step, and it fits in less than 4KB when gzipped.
    Downloads: 0 This Week
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  • 2
    aws-prototyping-sdk

    aws-prototyping-sdk

    Contains useful CDK and Projen constructs vended in multiple languages

    AWS Prototyping SDK (PDK) is a package that contains useful CDK and Projen constructs. This package is built using projen and nx. Any change to projects/* or .projenrc.ts requires a synth to be executed. The PDK contains a set of useful CDK and Projen constructs, vended in multiple languages. For packages marked experimental, please refer to the usage instruction contained within the respective package documentation.
    Downloads: 0 This Week
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  • 3
    jsii

    jsii

    jsii allows code in any language to naturally interact with JavaScript

    jsii allows code in any language to naturally interact with JavaScript classes. It is the technology that enables the AWS Cloud Development Kit to deliver polyglot libraries from a single codebase! A class library written in TypeScript can be used in projects authored in TypeScript or Javascript (as usual), but also in C# (and other languages from the .NET family), Go, Java, Python, etc. More languages will be added in the future! Due to JSON marshaling costs and the absence of a distributed...
    Downloads: 0 This Week
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  • 4
    tslab

    tslab

    Interactive JavaScript and TypeScript programming with Jupyter

    tslab is an interactive programming environment and REPL with Jupyter for JavaScript and TypeScript users. You can write and execute JavaScript and TypeScript interactively on browsers and save results as Jupyter notebooks.
    Downloads: 0 This Week
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  • Powering the best of the internet | Fastly Icon
    Powering the best of the internet | Fastly

    Fastly's edge cloud platform delivers faster, safer, and more scalable sites and apps to customers.

    Ensure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
    Try for free
  • 5
    Hydrogen

    Hydrogen

    Run code interactively, inspect data, and plot

    Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Hydrogen was inspired by Bret Victor's ideas about the power of instantaneous feedback and the design of Light Table. Running code inline and in real-time is a more natural way to develop. By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project...
    Downloads: 1 This Week
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  • 6
    TensorFlow.js models

    TensorFlow.js models

    Pretrained models for TensorFlow.js

    This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning setting with TensorFlow.js. To find out about APIs for models, look at the README in each of the respective directories. In general, we try to hide tensors so the API can be used by non-machine learning experts. New models should have a test NPM script. You can...
    Downloads: 0 This Week
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