Showing 8 open source projects for "python 3.5 library"

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  • 1
    Quadratic

    Quadratic

    Data science spreadsheet with Python & SQL

    ...Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today (Python, Pandas, SQL, JS, Excel Formulas, etc). Quadratic has no environment to configure. The grid runs entirely in the browser with no backend service. This makes our grids completely portable and very easy to share. Quadratic has Python library support built-in. Bring the latest open-source tools directly to your spreadsheet. Quickly write code and see the output in full detail. ...
    Downloads: 12 This Week
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  • 2
    TypeChat

    TypeChat

    Library for building type-safe natural language interfaces with LLMs

    TypeChat is an open source library developed by Microsoft that simplifies the creation of natural language interfaces by using type definitions to structure interactions with large language models. Traditional natural language interfaces often relied on complex decision trees to interpret user intent and gather required inputs. With the rise of large language models, developers can interpret user requests more easily, but they still face challenges related to output reliability, safety, and...
    Downloads: 2 This Week
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  • 3
    AstronRPA

    AstronRPA

    Agent-ready RPA suite with visual workflow automation tools engine

    Astron RPA is an enterprise-grade robotic process automation platform designed to help organizations and developers build automated workflows for desktop and web applications. It provides a visual workflow designer that supports low-code and no-code development, allowing users to create automation processes through a drag-and-drop interface instead of writing extensive code. It enables automation of common desktop software and browser-based tasks, making it suitable for repetitive business...
    Downloads: 1 This Week
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  • 4
    LangChain.js

    LangChain.js

    Building applications with LLMs through composability

    ...But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications. This is built to integrate as seamlessly as possible with the LangChain Python package. Specifically, this means all objects (prompts, LLMs, chains, etc) are designed in a way where they can be serialized and shared between languages.
    Downloads: 0 This Week
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  • 5
    Suno AI API

    Suno AI API

    Use API to call the music generation AI of suno.ai

    Suno API is an unofficial open-source interface that enables developers to programmatically interact with Suno’s AI music generation platform, allowing automated creation of songs, lyrics, and audio content through API calls. It replicates the behavior of Suno’s web-based creation tools by reverse engineering internal endpoints and exposing them through a developer-friendly interface built with Python and FastAPI. The system supports asynchronous processing, enabling efficient handling of...
    Downloads: 5 This Week
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  • 6
    Flint Chart

    Flint Chart

    Visualization language that lets AI agents create expressive charts

    ...The compiler uses data, semantic types, chart type, and encodings to derive polished chart settings automatically. One Flint input can compile into native Vega-Lite, ECharts, or Chart.js specifications. The repository includes a TypeScript library, an MCP server, a demo site, documentation, test data, and an early Python port. It is especially useful for AI agents that need to create reliable visualizations from structured data during analysis or reporting workflows.
    Downloads: 2 This Week
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  • 7
    GPT-Code UI

    GPT-Code UI

    An open source implementation of OpenAI's ChatGPT Code interpreter

    An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services.
    Downloads: 0 This Week
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  • 8
    Synaptrix ChatGPT Desktop

    Synaptrix ChatGPT Desktop

    Fuel your productivity with ChatGPT-Desktop

    Fuel your productivity with ChatGPT-Desktop, blazingly fast and supercharged.
    Downloads: 3 This Week
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