Refund Swatter Lite significantly reduces malicious refund risks by processing Apple's CONSUMPTION_REQUEST notifications and sending detailed consumption data back to Apple within the required 12-hour window, enabling Apple to make informed decisions on refund requests.
consumption-data 开源项目推荐(20 个)
consumption-data 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 20
GitHub 共 20 个仓库,已全部展示GrDF Gazpar meter integration for Home Assistant
A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).
GrDF Gazpar meter lovelace card for Home Assistant
Gaz De Bordeaux Home Assistant Integration
Scripts to start working with Household Consumption Expenditure Survey (2022-23) by India's National Sample Survey Office
Find the regions with the largest increase (by percentage) of avocado consumption for [total volume] and each Price Look-up code between Jan 2015 and Mar 2018.
This repository uses two approaches to project building and construction material stock in the US until 2050: Approach 1) uses time-series regression models and historic material consumption data, Approach 2) uses building floor area projections and material use intensities. The repository is created in collaboration with Carbon Leadership Forum.
Kaggle Kernel analysis for Time series data for US Energy hourly data .
slow grub website
Stage Storage Calculator For Horsetooth Reservoir
Folder Size Scanner - App (Pure Tkinter - No Dependencies) Scans selected folders or drives and reports folder sizes in a tree view. Shows incremental progress as folders are scanned.
The script responsible for processing water consumption data
Free & Open Source, Capacity Planning & Management Software, in a Complete Virtual Machine
This project reads GitHub Metered Billing export CSV document and provides an easy to understand report
该项目在 GitHub 上没有填写描述
Empirical analysis of the evolution of consumption structure among Beijing urban and rural residents using Python.
Data-driven identification of high-potential non-metro consumers for NutriLife India using household consumption, assets, and nutrition transition signals.
practice of ML algorithms
Veolia Ile-de-France meter integration for Home Assistant
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/consumption-data。
- 该话题在 GitHub 上共有 20 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 318 Star,覆盖 7 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。