This repository contains shared codebase for two projects: gcloud-aio and gcloud-rest. gcloud-aio is built for Python 3's asyncio, while gcloud-rest is a threadsafe requests-based implementation. It provides clients for Google Cloud services like Auth, BigQuery, Datastore, KMS, PubSub, Storage, and Task Queue. Users can install the library using pip and refer to the documentation for usage details. Developers can contribute to the project by following the contribution guide.

aiohttp_security is a library that provides identity and authorization for aiohttp.web. It offers features for handling authorization via cookies and supports aiohttp-session. The library includes examples for basic usage and database authentication, along with demos in the demo directory. For development, the library requires installation of specific requirements listed in the requirements-dev.txt file. aiohttp_security is licensed under the Apache 2 license.

aioquic is a Python library for the QUIC network protocol, featuring a minimal TLS 1.3 implementation, a QUIC stack, and an HTTP/3 stack. It is designed to be embedded into Python client and server libraries supporting QUIC and HTTP/3, with IPv4 and IPv6 support, connection migration, NAT rebinding, logging TLS traffic secrets and QUIC events, server push, WebSocket bootstrapping, and datagram support. The library follows the 'bring your own I/O' pattern for QUIC and HTTP/3 APIs, making it testable and integrable with different concurrency models.

aiohttp_debugtoolbar provides a debug toolbar for aiohttp web applications. It is a port of pyramid_debugtoolbar and offers basic functionality such as basic panels, intercepting redirects, pretty printing exceptions, an interactive python console, and showing source code. The library is still in early development stages and offers various debug panels for monitoring different aspects of the web application. It is a useful tool for developers working with aiohttp to debug and optimize their applications.

aiosql is a Python module that allows you to organize SQL statements in .sql files and load them into your Python application as methods to call. It supports various database drivers like SQLite, PostgreSQL, MySQL, MariaDB, and DuckDB. The project is an implementation of Kris Jenkins' yesql library to the Python ecosystem, allowing users to easily reuse SQL code in SQL GUIs or CLI tools. With aiosql, you can write, version control, comment, and run SQL code using files without losing the ability to use them as you would any other SQL file. It provides support for PEP 249 and asyncio based drivers, enabling users to execute parametric SQL queries from Python methods.

aioconsole is a Python package that provides asynchronous console and interfaces for asyncio. It offers asynchronous equivalents to input, print, exec, and code.interact, an interactive loop running the asynchronous Python console, customization and running of command line interfaces using argparse, stream support to serve interfaces instead of using standard streams, and the apython script to access asyncio code at runtime without modifying the sources. The package requires Python version 3.8 or higher and can be installed from PyPI or GitHub. It allows users to run Python files or modules with a modified asyncio policy, replacing the default event loop with an interactive loop. aioconsole is useful for scenarios where users need to interact with asyncio code in a console environment.

This repository is a communication repository for airhacks.live events. Users can use `https://github.com/AdamBien/airhacks.git` for initial creation and `git pull` to update the local repository. Airhacks Discord Server: https://discord.gg/airhacks, Airhacks Meetup: https://www.meetup.com/airhacks, Adam Bien / Airhacks links: https://airhacks.industries

llamactl is a tool for unified management and routing of llama.cpp, MLX, and vLLM models with a web dashboard. It offers easy model management with built-in model downloader, dynamic multi-model instances, smart resource management, and a modern React UI dashboard. It provides flexible integration with API compatibility for OpenAI chat completions and resources endpoints, multi-backend support, and Docker readiness. The tool supports distributed deployment with remote instances and central management. Users can quickly start by installing a backend, downloading llamactl, creating an instance, and starting inferencing.

aiohttp_session is a Python library that provides session management for aiohttp.web applications. It allows storing user-specific data in session objects with a dict-like interface. The library offers different session storage options, including SimpleCookieStorage for testing, EncryptedCookieStorage for secure data storage, and RedisStorage for storing data in Redis. Users can easily integrate session management into their aiohttp.web applications by registering the session middleware. The library is designed to simplify session handling and enhance the security of web applications.

Parseable is a full stack observability platform designed to ingest, analyze, and extract insights from various types of telemetry data. It can be run locally, in the cloud, or as a managed service. The platform offers features like high availability, smart cache, alerts, role-based access control, OAuth2 support, and OpenTelemetry integration. Users can easily ingest data, query logs, and access the dashboard to monitor and analyze data. Parseable provides a seamless experience for observability and monitoring tasks.

RSS Can is a tool designed to simplify and improve RSS feed management. It supports various systems and architectures, including Linux and macOS. Users can download the binary from the GitHub release page or use the Docker image for easy deployment. The tool provides CLI parameters and environment variables for customization. It offers features such as memory and Redis cache services, web service configuration, and rule directory settings. The project aims to support RSS pipeline flow, NLP tasks, integration with open-source software rules, and tools like a quick RSS rules generator.

This project aims to create a RESTful API server compatible with the OpenAI API using open-source backends like llama/llama2. With this project, various GPT tools/frameworks can be compatible with your own model. Key features include: - **Compatibility with OpenAI API**: The API server follows the OpenAI API structure, allowing seamless integration with existing tools and frameworks. - **Support for Multiple Backends**: The server supports both llama.cpp and pyllama backends, providing flexibility in model selection. - **Customization Options**: Users can configure model parameters such as temperature, top_p, and top_k to fine-tune the model's behavior. - **Batch Processing**: The API supports batch processing for embeddings, enabling efficient handling of multiple inputs. - **Token Authentication**: The server utilizes token authentication to secure access to the API. This tool is particularly useful for developers and researchers who want to integrate large language models into their applications or explore custom models without relying on proprietary APIs.

hyper-mcp is a fast and secure MCP server that extends its capabilities through WebAssembly plugins. It makes it easy to add AI capabilities to applications by allowing users to write plugins in any language that compiles to WebAssembly, distribute them via standard OCI registries, and run them anywhere from cloud to edge. The tool is built with a security-first mindset, offering sandboxed plugins, memory-safe execution, secure plugin distribution, and fine-grained access control for host functions. Users can deploy hyper-mcp anywhere, benefit from cross-platform compatibility, and prevent tool name collisions with the support tool name prefix feature.

Open Source Observer is a free analytics suite that helps funders measure the impact of open source software contributions to the health of their ecosystem. The repository contains various subprojects such as OSO apps, documentation, frontend application, API services, Docker files, common libraries, utilities, GitHub app for validating pull requests, Helm charts for Kubernetes, Kubernetes configuration, Terraform modules, data warehouse code, Python utilities for managing data, OSO agent, Dagster configuration, sqlmesh configuration, Python package for pyoso, and other tools to manage warehouse pipelines.

Genius is a modern Next.js 14 SaaS AI platform that provides a comprehensive folder structure for app development. It offers features like authentication, dashboard management, landing pages, API integration, and more. The platform is built using React JS, Next JS, TypeScript, Tailwind CSS, and integrates with services like Netlify, Prisma, MySQL, and Stripe. Genius enables users to create AI-powered applications with functionalities such as conversation generation, image processing, code generation, and more. It also includes features like Clerk authentication, OpenAI integration, Replicate API usage, Aiven database connectivity, and Stripe API/webhook setup. The platform is fully configurable and provides a seamless development experience for building AI-driven applications.

AI Code Fusion is a desktop application designed to streamline the preparation of code repositories for AI workflows. It features a visual directory explorer for selecting code files, file filtering with custom patterns and .gitignore support, token counting support for selected files, and processed output ready for copying or exporting to AI tools. The tool offers cross-platform support for Windows, macOS, and Linux, making it a versatile solution for developers working on AI projects.

This repository contains shared codebase for two projects: gcloud-aio and gcloud-rest. gcloud-aio is built for Python 3's asyncio, while gcloud-rest is a threadsafe requests-based implementation. It provides clients for Google Cloud services like Auth, BigQuery, Datastore, KMS, PubSub, Storage, and Task Queue. Users can install the library using pip and refer to the documentation for usage details. Developers can contribute to the project by following the contribution guide.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

aiohttp_security is a library that provides identity and authorization for aiohttp.web. It offers features for handling authorization via cookies and supports aiohttp-session. The library includes examples for basic usage and database authentication, along with demos in the demo directory. For development, the library requires installation of specific requirements listed in the requirements-dev.txt file. aiohttp_security is licensed under the Apache 2 license.

EvoMaster is an open-source AI-driven tool that automatically generates system-level test cases for web/enterprise applications. It uses Evolutionary Algorithm and Dynamic Program Analysis to evolve test cases, maximizing code coverage and fault detection. It supports REST, GraphQL, and RPC APIs, with whitebox testing for JVM-compiled APIs. The tool generates JUnit tests in Java or Kotlin, focusing on fault detection, self-contained tests, SQL handling, and authentication. Known limitations include manual driver creation for whitebox testing and longer execution times for better results. EvoMaster has been funded by ERC and RCN grants.

This is the official Clarifai gRPC Python client for interacting with their recognition API. Clarifai offers a platform for data scientists, developers, researchers, and enterprises to utilize artificial intelligence for image, video, and text analysis through computer vision and natural language processing. The client allows users to authenticate, predict concepts in images, and access various functionalities provided by the Clarifai API. It follows a versioning scheme that aligns with the backend API updates and includes specific instructions for installation and troubleshooting. Users can explore the Clarifai demo, sign up for an account, and refer to the documentation for detailed information.

Gemini ChatUp is a chat application utilizing the Google GeminiPro API Key. It supports responsive layout and can store multiple sets of conversations with customizable parameters for each set. Users can log in with a test account or provide their own API Key to deploy the feature. The application also offers user authentication through Edge config in Vercel, allowing users to add usernames and passwords in JSON format. Local deployment is possible by installing dependencies, setting up environment variables, and running the application locally.

The serverless-pdf-chat repository contains a sample application that allows users to ask natural language questions of any PDF document they upload. It leverages serverless services like Amazon Bedrock, AWS Lambda, and Amazon DynamoDB to provide text generation and analysis capabilities. The application architecture involves uploading a PDF document to an S3 bucket, extracting metadata, converting text to vectors, and using a LangChain to search for information related to user prompts. The application is not intended for production use and serves as a demonstration and educational tool.

Obot is an open source AI agent platform that allows users to build agents for various use cases such as copilots, assistants, and autonomous workflows. It offers integration with leading LLM providers, built-in RAG for data, easy integration with custom web services and APIs, and OAuth 2.0 authentication.

Resonance is a framework designed to facilitate interoperability and messaging between services in your infrastructure and beyond. It provides AI capabilities and takes full advantage of asynchronous PHP, built on top of Swoole. With Resonance, you can: * Chat with Open-Source LLMs: Create prompt controllers to directly answer user's prompts. LLM takes care of determining user's intention, so you can focus on taking appropriate action. * Asynchronous Where it Matters: Respond asynchronously to incoming RPC or WebSocket messages (or both combined) with little overhead. You can set up all the asynchronous features using attributes. No elaborate configuration is needed. * Simple Things Remain Simple: Writing HTTP controllers is similar to how it's done in the synchronous code. Controllers have new exciting features that take advantage of the asynchronous environment. * Consistency is Key: You can keep the same approach to writing software no matter the size of your project. There are no growing central configuration files or service dependencies registries. Every relation between code modules is local to those modules. * Promises in PHP: Resonance provides a partial implementation of Promise/A+ spec to handle various asynchronous tasks. * GraphQL Out of the Box: You can build elaborate GraphQL schemas by using just the PHP attributes. Resonance takes care of reusing SQL queries and optimizing the resources' usage. All fields can be resolved asynchronously.

Aiogram bot template is a boilerplate for creating Telegram bots using Aiogram framework. It provides a solid foundation for building robust and scalable bots with a focus on code organization, database integration, and localization.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

Aiohttp pydantic is an aiohttp view to easily parse and validate requests. You define using function annotations what your methods for handling HTTP verbs expect, and Aiohttp pydantic parses the HTTP request for you, validates the data, and injects the parameters you want. It provides features like query string, request body, URL path, and HTTP headers validation, as well as Open API Specification generation.

This repository contains shared codebase for two projects: gcloud-aio and gcloud-rest. gcloud-aio is built for Python 3's asyncio, while gcloud-rest is a threadsafe requests-based implementation. It provides clients for Google Cloud services like Auth, BigQuery, Datastore, KMS, PubSub, Storage, and Task Queue. Users can install the library using pip and refer to the documentation for usage details. Developers can contribute to the project by following the contribution guide.

aioconsole is a Python package that provides asynchronous console and interfaces for asyncio. It offers asynchronous equivalents to input, print, exec, and code.interact, an interactive loop running the asynchronous Python console, customization and running of command line interfaces using argparse, stream support to serve interfaces instead of using standard streams, and the apython script to access asyncio code at runtime without modifying the sources. The package requires Python version 3.8 or higher and can be installed from PyPI or GitHub. It allows users to run Python files or modules with a modified asyncio policy, replacing the default event loop with an interactive loop. aioconsole is useful for scenarios where users need to interact with asyncio code in a console environment.

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.