Best AI tools for< Async Iterable Operations >

Decision is a decision-making platform that uses AI to help individuals and teams make better, faster decisions. It offers features such as assisted decision-making, AI-powered assistant, spark creativity, write better, understand faster, prime prediction, proven frameworks, organized communication, and traceable history. Decision is designed to help users save time and nerves by providing logical suggestions, organizing thoughts, improving writing, and predicting the best course of action based on past successful decisions.

EducUp Studio is an online platform designed to help educators create engaging and interactive learning experiences for their students. The platform offers a variety of tools and resources that allow teachers to easily design and customize educational content, such as quizzes, presentations, and interactive lessons. EducUp Studio aims to enhance the teaching and learning process by providing a user-friendly interface and a range of features to support educators in creating dynamic and effective educational materials.

AgentLabs is a frontend-as-a-service platform that allows developers to build and share AI-powered chat-based applications in minutes, without any front-end experience. It provides a range of features such as real-time and asynchronous communication, background task management, backend agnosticism, and support for Markdown, files, and more.

VideoAsk by Typeform is an interactive video platform that helps streamline conversations and build business relationships at scale. It offers features such as asynchronous interviews, easy scheduling, tagging, gathering contact info, capturing leads, research and feedback, training, customer support, and more. Users can create interactive video forms, conduct async interviews, and engage with their audience through AI-powered video chatbots. The platform is user-friendly, code-free, and integrates with over 1,500 applications through Zapier.

AutoKT is an AI-powered application designed for Automatic Knowledge Transfer. It helps in effortless documentation by automatically writing and updating documentation, allowing users to focus on building innovative projects. The tool addresses the challenge of time and bandwidth spent on writing and maintaining documentation in agile workplaces. AutoKT ensures asynchronous knowledge transfer by keeping documentation in sync with code changes and providing a query feature for easy access to information. It is a valuable tool for developers, enabling them to understand legacy code, streamline documentation writing, and facilitate faster onboarding of new team members.

Aioreactive is a Python library that brings ReactiveX functionality to asyncio using async and await. It is built on the Expression functional library and aims to provide a simple, clean, and async-based approach to reactive programming in Python. The library supports Python 3.10+ and focuses on using plain old functions for operators, running on the asyncio event loop, and providing implicit synchronous back-pressure for event processing.

Mistral Typescript Client is an SDK for Mistral AI API, providing Chat Completion and Embeddings APIs. It allows users to create chat completions, upload files, create agent completions, create embedding requests, and more. The SDK supports various JavaScript runtimes and provides detailed documentation on installation, requirements, API key setup, example usage, error handling, server selection, custom HTTP client, authentication, providers support, standalone functions, debugging, and contributions.

aiostream provides a collection of stream operators for creating asynchronous pipelines of operations. It offers features like operator pipe-lining, repeatability, safe iteration context, simplified execution, slicing and indexing, and concatenation. The stream operators are categorized into creation, transformation, selection, combination, aggregation, advanced, timing, and miscellaneous. Users can combine these operators to perform various asynchronous tasks efficiently.

Scrapling is a high-performance, intelligent web scraping library for Python that automatically adapts to website changes while significantly outperforming popular alternatives. For both beginners and experts, Scrapling provides powerful features while maintaining simplicity. It offers features like fast and stealthy HTTP requests, adaptive scraping with smart element tracking and flexible selection, high performance with lightning-fast speed and memory efficiency, and developer-friendly navigation API and rich text processing. It also includes advanced parsing features like smart navigation, content-based selection, handling structural changes, and finding similar elements. Scrapling is designed to handle anti-bot protections and website changes effectively, making it a versatile tool for web scraping tasks.

WebScout is a versatile tool that allows users to search for anything using Google, DuckDuckGo, and phind.com. It contains AI models, can transcribe YouTube videos, generate temporary email and phone numbers, has TTS support, webai (terminal GPT and open interpreter), and offline LLMs. It also supports features like weather forecasting, YT video downloading, temp mail and number generation, text-to-speech, advanced web searches, and more.

aiocsv is a Python module that provides asynchronous CSV reading and writing. It is designed to be a drop-in replacement for the Python's builtin csv module, but with the added benefit of being able to read and write CSV files asynchronously. This makes it ideal for use in applications that need to process large CSV files efficiently.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

ARTKIT is a Python framework developed by BCG X for automating prompt-based testing and evaluation of Gen AI applications. It allows users to develop automated end-to-end testing and evaluation pipelines for Gen AI systems, supporting multi-turn conversations and various testing scenarios like Q&A accuracy, brand values, equitability, safety, and security. The framework provides a simple API, asynchronous processing, caching, model agnostic support, end-to-end pipelines, multi-turn conversations, robust data flows, and visualizations. ARTKIT is designed for customization by data scientists and engineers to enhance human-in-the-loop testing and evaluation, emphasizing the importance of tailored testing for each Gen AI use case.

Instructor is a popular Python library for managing structured outputs from large language models (LLMs). It offers a user-friendly API for validation, retries, and streaming responses. With support for various LLM providers and multiple languages, Instructor simplifies working with LLM outputs. The library includes features like response models, retry management, validation, streaming support, and flexible backends. It also provides hooks for logging and monitoring LLM interactions, and supports integration with Anthropic, Cohere, Gemini, Litellm, and Google AI models. Instructor facilitates tasks such as extracting user data from natural language, creating fine-tuned models, managing uploaded files, and monitoring usage of OpenAI models.

The ai-app-lab is a high-code Python SDK Arkitect designed for enterprise developers with professional development capabilities. It provides a toolset and workflow set for developing large model applications tailored to specific business scenarios. The SDK offers highly customizable application orchestration, quality business tools, one-stop development and hosting services, security enhancements, and AI prototype application code examples. It caters to complex enterprise development scenarios, enabling the creation of highly customized intelligent applications for various industries.

aiohttp is an async http client/server framework that supports both client and server side of HTTP protocol. It also supports both client and server Web-Sockets out-of-the-box and avoids Callback Hell. aiohttp provides a Web-server with middleware and pluggable routing.

Aiogoogle is an asynchronous Google API client that allows users to access various Google public APIs such as Google Calendar, Drive, Contacts, Gmail, Maps, Youtube, Translate, Sheets, Docs, Analytics, Books, Fitness, Genomics, Cloud Storage, Kubernetes Engine, and more. It simplifies the process of interacting with Google APIs by providing async capabilities.

aioboto3 is an async AWS SDK for Python that allows users to use near enough all of the boto3 client commands in an async manner just by prefixing the command with `await`. It combines the great work of boto3 and aiobotocore, enabling users to use higher level APIs provided by boto3 in an asynchronous manner. The package provides support for various AWS services such as DynamoDB, S3, Kinesis, SSM Parameter Store, and Athena. It also offers features like client-side encryption using KMS-Managed master keys and supports asyncifying `get_presigned_url`. The library closely mimics the usage of boto3 and is mainly developed to be used in async microservices.

aiobotocore is an async client for Amazon services using botocore and aiohttp/asyncio. It provides a mostly full-featured asynchronous version of botocore, allowing users to interact with various AWS services asynchronously. The library supports operations such as uploading objects to S3, getting object properties, listing objects, and deleting objects. It also offers context manager examples for managing resources efficiently. aiobotocore supports multiple AWS services like S3, DynamoDB, SNS, SQS, CloudFormation, and Kinesis, with basic methods tested for each service. Users can run tests using moto for mocked tests or against personal Amazon keys. Additionally, the tool enables type checking and code completion for better development experience.

llama_deploy is an async-first framework for deploying, scaling, and productionizing agentic multi-service systems based on workflows from llama_index. It allows building workflows in llama_index and deploying them seamlessly with minimal changes to code. The system includes services endlessly processing tasks, a control plane managing state and services, an orchestrator deciding task handling, and fault tolerance mechanisms. It is designed for high-concurrency scenarios, enabling real-time and high-throughput applications.

Chainlit is an open-source async Python framework which allows developers to build scalable Conversational AI or agentic applications. It enables users to create ChatGPT-like applications, embedded chatbots, custom frontends, and API endpoints. The framework provides features such as multi-modal chats, chain of thought visualization, data persistence, human feedback, and an in-context prompt playground. Chainlit is compatible with various Python programs and libraries, including LangChain, Llama Index, Autogen, OpenAI Assistant, and Haystack. It offers a range of examples and a cookbook to showcase its capabilities and inspire users. Chainlit welcomes contributions and is licensed under the Apache 2.0 license.

This is a no-nonsense async Scala client for OpenAI API supporting all the available endpoints and params including streaming, chat completion, vision, and voice routines. It provides a single service called OpenAIService that supports various calls such as Models, Completions, Chat Completions, Edits, Images, Embeddings, Batches, Audio, Files, Fine-tunes, Moderations, Assistants, Threads, Thread Messages, Runs, Run Steps, Vector Stores, Vector Store Files, and Vector Store File Batches. The library aims to be self-contained with minimal dependencies and supports API-compatible providers like Azure OpenAI, Azure AI, Anthropic, Google Vertex AI, Groq, Grok, Fireworks AI, OctoAI, TogetherAI, Cerebras, Mistral, Deepseek, Ollama, FastChat, and more.

aiosqlite is a Python library that provides a friendly, async interface to SQLite databases. It replicates the standard sqlite3 module but with async versions of all the standard connection and cursor methods, along with context managers for automatically closing connections and cursors. It allows interaction with SQLite databases on the main AsyncIO event loop without blocking execution of other coroutines while waiting for queries or data fetches. The library also replicates most of the advanced features of sqlite3, such as row factories and total changes tracking.

The Portkey Python SDK is a control panel for AI apps that allows seamless integration of Portkey's advanced features with OpenAI methods. It provides features such as AI gateway for unified API signature, interoperability, automated fallbacks & retries, load balancing, semantic caching, virtual keys, request timeouts, observability with logging, requests tracing, custom metadata, feedback collection, and analytics. Users can make requests to OpenAI using Portkey SDK and also use async functionality. The SDK is compatible with OpenAI SDK methods and offers Portkey-specific methods like feedback and prompts. It supports various providers and encourages contributions through Github issues or direct contact via email or Discord.

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