Results for panda-backend


Spinning Panda Backend - Utils

The user facing package for panda css

HTML5 backend for React DnD

Panda is a Treelab Component Library.

i18next-http-backend is a backend layer for i18next using in Node.js, in the browser and for Deno.

Use react-devtools outside of the browser

Clerk Backend SDK - REST Client for Backend API & JWT verification utilities

Flickr's Pandas api

i18next-fs-backend is a backend layer for i18next using in Node.js and for Deno to load translations from the filesystem.

PandaStack developer CLI

Amazon Cognito Identity Provider JavaScript SDK

Core API used by Backstage backend plugins

This package helps to transform resources to an i18next backend

CLI to scaffold a production-ready Express.js backend instantly

Vanilla JavaScript backend for TensorFlow.js

The Firebase Authenticaton component of the Firebase JS SDK.

backend layer for i18next to chain backends

Multi Backend system compatible with React DnD

GPU accelerated WebGL backend for TensorFlow.js

A mock backend for testing React DnD apps

Backend defaults used by Backstage backend apps

Embed react-devtools within a website

An isomorphic client for the catalog backend

Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.