支持将Excel,csv等格式的数据导入进来,生成dataset对象
Version-controlled eval dataset manager for LLM testing
Sanity CLI tool for managing Sanity projects and organizations
Client for retrieving, creating and patching data from Sanity.io
TypeScript scope analyser for ESLint
Export Sanity documents and assets
An indexed implementation of the RDF/JS Dataset
Authoritative TypeScript typings for all RDF/JS specifications
Package manager detector
Takes a FeatureCollection of points and calculates the median center.
AWS SDK for JavaScript Secrets Manager Client for Node.js, Browser and React Native
AWS SDK for JavaScript Ssm Client for Node.js, Browser and React Native
An implementation of the RDF Dataset Canonicalization algorithm in JavaScript
A library for installing and finding packages in a project
Import documents to a Sanity dataset
Generic traverser for RDF/JS datasets
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Include Flmngr file manager server-side into your Express app or website
Flmngr file manager UI component for React
Combines quads of a RDF/JS quad stream to a stream of RDF/JS Dataset chunks
Pure Javascript JSON to CSV converter.
DataViews is a component that provides an API to render datasets using different types of layouts (table, grid, list, etc.).
Zazuko's RDF/JS Environment
CLI for the Laminar agent observability platform
dataman - dataset manager using datafiles
Ruby translators to transform various metadata feeds into solr documents and a command-line utility to access/utilize the gem's translators to harvest metadata into a working solr instance.
Hystorical is a simple solution for managing explicit historical datasets
Provides versioned dataset storage with import/export (CSV/JSON/JSONL), experiment runner with evaluator integration, and regression detection.
DataStore is designed to store real time data but still manage the growth of your dataset and still keeping historical data
Leva is a Ruby on Rails framework for evaluating Language Models (LLMs) using ActiveRecord datasets. It provides a flexible structure for creating experiments, managing datasets, and implementing various evaluation logic.
Provides tools for managing resource-efficient backfills of large datasets via ActiveJob
A Ruby gem providing a client for interacting with the Oslo API, a platform for creating and managing datasets for machine learning projects. The client allows you to easily upload images, create annotations, and download dataset exports.
A hash based MVC model class that makes searching and updating deeply nested hashes a breeze. You can store deeply nested hashes and still easily flatten, query, and update the records using flattened field names. It's meant to be used for small, in-memory recordset that you want an easy, flexible way to query. It is not meant as a data storage device for managing huge datasets.
A complete, production-ready Ruby implementation of the HuggingFace Hub client library. Download models, datasets, and manage repositories with zero Python dependencies. Features smart caching, authentication, progress tracking, and comprehensive error handling.