3 Repos
Backend implementations that emulate proprietary cloud service APIs for drop-in replacement.
Distinct from Protocol-Compatible Backends: Distinct from general Protocol-Compatible Backends: specifically emulates cloud-provider APIs like DynamoDB rather than open standards.
Explore 3 awesome GitHub repositories matching networking & communication · Cloud API Emulators. Refine with filters or upvote what's useful.
Scylla is a distributed wide column NoSQL database designed as a high-performance data store. It functions as a Cassandra compatible database and a DynamoDB compatible store, implementing a shared-nothing architecture built on an asynchronous event-driven framework. The system emulates cloud-based APIs to support applications built for proprietary cloud protocols and implements the Cassandra Query Language for high-throughput workloads. This allows for the migration of cloud workloads to self-hosted environments while maintaining API compatibility. The project covers distributed data storage
Emulates the DynamoDB API to allow applications to transition from cloud to self-hosted environments.
Fauxpilot is a self-hosted AI coding assistant and local inference server. It functions as a proxy and API gateway that redirects traffic from IDE plugins to a local large language model, allowing for AI-assisted programming without external cloud dependencies. The project provides a specialized API emulation layer that mimics coding assistant protocols and a standardized OpenAI-compatible interface. This enables supported code editors to use local models for completions and suggestions by overriding default proxy URLs. The system includes capabilities for downloading and deploying local mod
Emulates proprietary cloud service APIs to allow editor plugins to use a local server as a drop-in replacement.
ollama-python is a Python client for interacting with large language models. It provides an interface for sending prompts to receive text and chat completions, as well as a dedicated client for generating numerical vector embeddings from text. The project includes a wrapper that emulates the OpenAI API, allowing applications built for that standard to interact with local models. It also provides a non-blocking asynchronous client for executing concurrent requests. The library covers the full model lifecycle, including the ability to pull, create, list, and delete models within a local enviro
Maps internal method calls to external API standards to ensure compatibility with third-party provider formats.