15 open-source projects similar to stormfleet/cloudcat, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
This project is an AWS pandas integration library and data pipeline framework designed to simplify the movement and transformation of data between local memory and AWS storage and analytics services. It functions as a cloud data lake toolkit and storage file manager, allowing users to read, write, and transform structured data across various cloud environments. The library distinguishes itself as a distributed compute orchestrator capable of managing clusters in environments such as EMR to process datasets that exceed the memory limits of a single machine. It also provides specialized capabil
chip-n-scale-queue-arranger helps you run machine learning models over satellite imagery at scale. It is a collection of AWS CloudFormation templates deployed by kes, lambda functions, and utility scripts for monitoring and managing the project.
A Docker image for serving fastai models, mimicking the API of Tensorflow Serving. It is designed for running batch inference at scale. It is not optimized for performance (but it's not that slow).
This project serves as a comprehensive directory of open-source libraries, tools, and technical documentation designed for building and managing infrastructure on the Amazon Web Services platform. It functions as a centralized knowledge base, aggregating software development kits, command-line utilities, and editor extensions to assist developers in cloud-native application development. The directory distinguishes itself through a categorical taxonomy that organizes disparate technical resources into a structured hierarchy. It incorporates community-driven metadata aggregation and automated m
Saws is an interactive shell wrapper and resource manager for the AWS CLI. It provides a command-line environment designed to enhance the execution of AWS commands through predictive text, resource suggestions, and improved navigation. The tool implements fuzzy searching and case-insensitive autocomplete to accelerate the discovery and selection of cloud resources. It reduces manual entry via a system of command shortcuts and aliases that map short strings to complex commands. The interface includes local caching of resource data to minimize API requests, persistent command history, and the
Cloudstomp is a python application that is in active development and built to make deployment of high CPU/GPU applications in Amazon EC2 as spot instances for affordable, quick, and easy data analysis.
Fog is a Ruby cloud infrastructure SDK that provides a standardized interface for managing compute, storage, and network resources across multiple cloud providers. It utilizes a multi-cloud abstraction layer to translate generic resource requests into provider-specific API calls, unifying infrastructure control through a consistent set of Ruby objects. The project includes a cloud API mocking framework that simulates provider responses and resource behavior in memory. This allows for the testing of infrastructure integration logic without making actual network requests or incurring provider c
Cloudtopolis is a tool that facilitates the installation and provisioning of Hashtopolis on the Google Cloud Shell platform, quickly and completely unattended (and also, free!). Together with Google Collaboratory, it allows us to break hashes without the need for dedicated hardware from any browser.
Rook automates the creation of AWS p3 instances for use in GPU-based password cracking. AWS p3 instances use the NVIDIA V100 GPUs, which provide the best password cracking H/s per GPU we've found. Rook is a Python wrapper around a Terraform base, automating the creation, mounting of wordlists…
Rails engine providing access to files in cloud storage
Deep learning docker files and docker images for geospatial anaysis. It contains the most popular deep learning frameworks(PyTorch and Tensorflow) with CPU and GPU support (CUDA and cuDNN included). And some other commonly used packages in machine learning and geospatial anaysis.