Showing 1153 open source projects for "unit-api"

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  • 1
    DataChain

    DataChain

    AI-data warehouse to enrich, transform and analyze unstructured data

    ...Datachain is especially helpful if batch operations can be optimized – for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing.
    Downloads: 1 This Week
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  • 2
    Google Workspace CLI

    Google Workspace CLI

    Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.

    Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. It outputs structured JSON responses, making it easy for developers, scripts, and AI agents to process results programmatically. The CLI supports multiple authentication methods, including OAuth login, service accounts, and environment-based credentials for automated environments. ...
    Downloads: 5 This Week
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  • 3
    RisuAI

    RisuAI

    Make your own story. User-friendly software for LLM roleplaying

    RisuAI (or Risu) is a cross-platform AI roleplay chat application—available as both a desktop and web solution—offering creative story-building and character interaction experiences with support for multiple APIs, in-chat assets, regex capabilities, and more. Supports OpenAI, Claude, Gemini, DeepInfra, Ooba, OpenRouter... and More. Display the image of the current character, according to his/her expressions. Modify model's output by regex, to make a custom GUI and others.
    Downloads: 23 This Week
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  • 4
    AWS MCP Servers

    AWS MCP Servers

    Helping you get the most out of AWS, wherever you use MCP

    AWS MCP Servers are a collection of remotely hosted, fully-managed Model Context Protocol (MCP) servers by AWS, providing AI applications with real-time access to AWS documentation, API references, best practices, and infrastructure-management capabilities via natural-language workflows. An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. ...
    Downloads: 11 This Week
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  • 5
    Velocity server

    Velocity server

    The modern, next-generation Minecraft server proxy

    ...The software is designed with a focus on performance, scalability, and modern architecture, allowing it to handle thousands of simultaneous players efficiently. Velocity also includes a plugin API that allows developers to extend the proxy with custom functionality and integrate it with existing server tools. Compared with older proxy solutions, the project emphasizes improved performance, reliability, and cleaner software design.
    Downloads: 6 This Week
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  • 6
    Contentful MCP

    Contentful MCP

    MCP (Model Context Protocol) server for the Contentful Management API

    The Contentful MCP Server is an MCP server implementation that integrates with Contentful's Content Management API, providing comprehensive content management capabilities. It allows AI assistants to interact with Contentful, facilitating tasks such as content retrieval and management. ​
    Downloads: 0 This Week
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  • 7
    Nestia

    Nestia

    NestJS Helper + AI Chatbot Development

    Nestia is a high-performance toolkit and ecosystem built on top of NestJS that enhances backend development by introducing strongly typed APIs, automated SDK generation, and advanced tooling for scalable server applications. It is designed to eliminate much of the boilerplate typically associated with API development by leveraging pure TypeScript types to automatically generate validation logic, API documentation, and client SDKs. One of its defining advantages is its focus on performance optimization, offering dramatically faster runtime validation and serialization compared to traditional libraries commonly used in NestJS environments. ...
    Downloads: 1 This Week
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  • 8
    Generative AI Docs

    Generative AI Docs

    Documentation for Google's Gen AI site - including Gemini API & Gemma

    Generative AI Docs is Google’s official documentation repository for Gemini, Vertex AI, and related generative AI APIs. It contains guides, API references, and examples for developers building applications using Google’s large language models, text-to-image models, embeddings, and multimodal capabilities. The repository includes markdown source files that power the Google AI developer documentation site, as well as sample code snippets in Python, JavaScript, and other languages that demonstrate how to use Google’s Generative AI SDKs and REST APIs effectively.
    Downloads: 1 This Week
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  • 9
    LOTUS

    LOTUS

    AI-Powered Data Processing: Use LOTUS to process all of your datasets

    ...The system provides a declarative programming model that allows developers to express complex AI data operations using high-level commands rather than manually orchestrating model calls. It offers a Python interface with a Pandas-like API, making it familiar for data scientists and engineers already working with data analysis libraries. The core concept of the framework is the use of semantic operators, which extend traditional relational database operations to support reasoning over text and other unstructured data. These operators allow tasks such as semantic filtering, ranking, clustering, and summarization to be expressed directly within data processing pipelines. ...
    Downloads: 8 This Week
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  • 10
    OpenAI

    OpenAI

    Swift community driven package for OpenAI public API

    MacPaw OpenAI is a community-driven Swift SDK that provides developers with a structured and type-safe way to interact with the OpenAI API and compatible providers within Apple ecosystem applications. It simplifies the integration of AI capabilities into iOS, macOS, and other Swift-based applications by offering a clean abstraction over the underlying REST API, enabling developers to focus on functionality rather than low-level implementation details. The SDK supports a wide range of features including chat completions, embeddings, image generation, audio processing, and structured outputs, making it a comprehensive toolkit for building AI-powered applications. ...
    Downloads: 0 This Week
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  • 11
    Forge Code

    Forge Code

    AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek

    ...Rather than requiring a separate UI or web-based IDE, Forge respects the developer’s existing habits and setups, and keeps all operations local, ensuring your code doesn’t get sent to unknown external services — a strong point for privacy and security. It supports many model providers (e.g. GPT, Claude, Grok, and others) via API keys.
    Downloads: 13 This Week
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  • 12
    promptfoo

    promptfoo

    Evaluate and compare LLM outputs, catch regressions, improve prompts

    ...Compare prompts and model outputs side-by-side, or integrate the library into your existing test/CI workflow. Use OpenAI, Anthropic, and open-source models like Llama and Vicuna, or integrate custom API providers for any LLM API.
    Downloads: 4 This Week
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  • 13
    DiscordGo

    DiscordGo

    (Golang) Go bindings for Discord

    DiscordGo is a Go package that provides low level bindings to the Discord chat client API. DiscordGo has nearly complete support for all of the Discord API endpoints, websocket interface, and voice interface. If you would like to help the DiscordGo package please use this link to add the official DiscordGo test bot dgo to your server. This provides indispensable help to this project. Construct a new Discord client which can be used to access the variety of Discord API functions and to set callback functions for Discord events. ...
    Downloads: 0 This Week
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  • 14
    Appsmith

    Appsmith

    Low code project to build admin panels, internal tools, and dashboards

    Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API. Appsmith is an open-source platform to build, deploy, and maintain internal apps. You can build anything from simple CRUD apps, admin panels, dashboards to custom business apps and complicated multi-step workflows. Build your UI with our drag and drop UI builder. Use 45+ pre-built, customizable widgets including tables, charts, lists, modals, forms, and more.
    Downloads: 9 This Week
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  • 15
    SpeechRecognition

    SpeechRecognition

    Speech recognition module for Python

    Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using...
    Downloads: 6 This Week
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  • 16
    PettingZoo

    PettingZoo

    An API standard for multi-agent reinforcement learning environments

    PettingZoo is a standardized API and library for multi-agent reinforcement learning (MARL) environments. It provides a broad set of environments and tools to facilitate the development and evaluation of multi-agent algorithms.
    Downloads: 0 This Week
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  • 17
    wa-automate-nodejs

    wa-automate-nodejs

    WhatsApp tool for chatbots with advanced features

    wa-automate-nodejs is the most advanced NodeJS library which provides a high-level API to control WA. Want to convert your WA account to an API instantly? You can now with the CLI. For more details see Easy API. After executing create() function, @open-wa/wa-automate will create an instance of WA web. If you are not logged in, it will print a QR code in the terminal. Scan it with your phone and you are ready to go!
    Downloads: 0 This Week
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  • 18
    Keras

    Keras

    Python-based neural networks API

    Python Deep Learning library
    Downloads: 5 This Week
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  • 19
    LiteLLM

    LiteLLM

    lightweight package to simplify LLM API calls

    Call all LLM APIs using the OpenAI format [Anthropic, Huggingface, Cohere, Azure OpenAI etc.] liteLLM supports streaming the model response back, pass stream=True to get a streaming iterator in response. Streaming is supported for OpenAI, Azure, Anthropic, and Huggingface models.
    Downloads: 14 This Week
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  • 20
    CogVLM2

    CogVLM2

    GPT4V-level open-source multi-modal model based on Llama3-8B

    ...It supports bilingual interaction (Chinese and English) and has open-source versions optimized for dialogue and video comprehension. Notably, the Int4 quantized version allows efficient inference on GPUs with only 16GB of memory. The repository offers demos, API servers, fine-tuning examples, and integration with OpenAI API-compatible endpoints, making it accessible for both researchers and developers.
    Downloads: 2 This Week
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  • 21
    Stanford CoreNLP

    Stanford CoreNLP

    Stanford CoreNLP, a Java suite of core NLP tools

    ...Pipelines take in raw text, run a series of NLP annotators on the text, and produce a final set of annotations. Pipelines produce CoreDocuments, data objects that contain all of the annotation information, accessible with a simple API, and serializable to a Google Protocol Buffer. CoreNLP generates a variety of linguistic annotations, including parts of speech, named entities, dependency parses, and coreference.
    Downloads: 2 This Week
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  • 22
    OpenFace Face Recognition

    OpenFace Face Recognition

    Face recognition with deep neural networks

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google,...
    Downloads: 1 This Week
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  • 23
    Chatterbox TTS Server

    Chatterbox TTS Server

    Self-host the powerful Chatterbox TTS model

    Chatterbox-TTS-Server is a self-hosted server for running the Chatterbox text-to-speech model through both a web interface and API endpoints. It is designed for users who want local or private speech generation without depending entirely on a hosted voice platform. The project supports predefined voices, voice cloning, and longer text workflows, making it useful for audiobooks, narration, content tools, and assistant-style applications. It also includes OpenAI-compatible API behavior, which helps developers connect it to existing tools that already expect that style of endpoint. ...
    Downloads: 1 This Week
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  • 24
    TensorRT LLM

    TensorRT LLM

    TensorRT LLM provides users with an easy-to-use Python API

    TensorRT-LLM is an open-source high-performance inference library specifically designed to optimize and accelerate large language model deployment on NVIDIA GPUs. It provides a Python-based API built on top of PyTorch that allows developers to define, customize, and deploy LLMs efficiently across a variety of hardware configurations, from single GPUs to large multi-node clusters. The library focuses on maximizing throughput and minimizing latency through advanced techniques such as quantization, custom attention kernels, and optimized memory management strategies. ...
    Downloads: 1 This Week
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  • 25
    rag-search

    rag-search

    RAG Search API

    rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service.
    Downloads: 1 This Week
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