Q.HOME

Name: Q.HOME
Rating: 3.5384614 (317 reviews)
Author: QCells

By: QCells

Statistical analysis of inverter reported data

Features & Capabilities

Q.HOME is a powerful Chrome extension designed for statistical analysis of inverter-reported data. Utilizing big data techniques, it performs detailed minute-level analytics to monitor the inverter's online status, power generation, power consumption, and online power. This enables users to track and understand the inverter's operational performance in real time, facilitating timely responses to any issues. Ideal for those needing precise and continuous monitoring of inverter systems, Q.HOME enhances the management and efficiency of energy production setups.

User Growth & Download Statistics

App Energy

By:

QCells

Downloads:

53,156 221

Rating:

3.54

(317)

Version:

6.11.0 Last updated: 2025-08-26

Version code:

61101

Creation date:

2019-12-09

Publisher country:

Permissions:

android.permission.ACCESS_COARSE_LOCATION Very high risk
android.permission.ACCESS_FINE_LOCATION Very high risk
android.permission.CAMERA Very high risk
android.permission.READ_EXTERNAL_STORAGE High risk
android.permission.WRITE_EXTERNAL_STORAGE High risk
android.permission.WRITE_SETTINGS High risk
android.permission.BLUETOOTH Moderate risk
android.permission.BLUETOOTH_ADMIN Moderate risk
android.permission.BLUETOOTH_CONNECT Moderate risk
android.permission.BLUETOOTH_SCAN Moderate risk

Size:

44.83MB

Email:

ca*****@solaxpower.com

URLs:

Full description:

Source:

Google Play Store

Data ingested on:

2026-07-13

Compare stats and ranking:

Ranking

# 285,123 ▼ 1,540

For Developers

Monetize with App Pass Boost with Extension Booster

Contact the developer

Chrome-Stats does not own this Android app. Please use these information below to contact the Android app developer.

Developed by:

QCells

Google Play Store

https://play.google.com/store/apps/details?id=com.hanhua.starter

Email:

ca*****@solaxpower.com

User Reviews

it's generally good enough for a daily overview. the accuracy of the graphical statistics is however, questionable: it's early in the morning in Germany, the battery was pretty uncharged from yesterday night, and i've already have 5.1 kwh of self-use power? that doesn't fit n normal usage pattern and, of course, I'd like to know where the extra power came from. this could be a back end problem of course, but the end users only know that the GUI is wrong/buggy.