##Welcome to OpenShare.
Las características principales de 100apps/openshare son: Gestión de datos.
Las alternativas de código abierto para 100apps/openshare incluyen: activeloopai/hub — Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and… addresscloud/aws-lambda-docker-rasterio — AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs. ahmed-ali/jsonexport — JSONExport is a multi-language code generator and JSON schema converter that transforms JSON data structures into… algolia/algoliasearch-rails — AlgoliaSearch integration to your favorite ORM. amuste/dnetindexeddb — Blazor Library for IndexedDB DOM API. activeloopai/deeplake — DeepLake is AI data infrastructure consisting of a multimodal data lake, a hybrid search engine, and a serverless…
Hub is a multimodal AI data lake and vector database designed for storing and querying embeddings, text, audio, and images. It functions as a dataset version control system and a machine learning data streaming engine to support large-scale model training. The system utilizes a serverless PostgreSQL vector store to index high-dimensional embeddings for semantic search. It provides a visual interface for inspecting multimodal datasets and viewing annotations such as bounding boxes and masks. The platform handles cloud-agnostic storage synchronization and implements lazy, compressed data strea
AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs.
JSONExport is a multi-language code generator and JSON schema converter that transforms JSON data structures into strongly typed source code classes. It serves as an API response mapper, converting JSON objects into data transfer objects to automate the creation of model classes. The tool specializes in multi-language model synthesis, allowing users to define data models across different programming languages using a single JSON input. It generates class boilerplate, including constructors and accessors, and provides a preview pipeline to review the resulting source code before it is saved.
DeepLake is AI data infrastructure consisting of a multimodal data lake, a hybrid search engine, and a serverless vector database. It provides a PostgreSQL-based AI data runtime that combines multimodal storage with streaming pipelines to load and shuffle datasets from cloud storage directly into deep learning training pipelines. The system utilizes lazy indexing to store and slice images, audio, and video without loading entire files into memory. It enables retrieval-augmented generation by persisting high-dimensional embeddings in a serverless vector store and implementing hybrid search tha