IzzyOnDroid Magisk Repository

IzzyOnDroid repoThis is a repository for open-source Magisk Modules which is run by by IzzyOnDroid (details), currently serving 139 modules. To add it to your MMRL client, use this URL:
 

https://apt.izzysoft.de/magisk

Note this repo is still in BETA stage, so there might be some glitches and not everything is working as planned yet! Further, other than with our F-Droid repo, there is no extensive scanning framework in place. Modules are taken in directly from their resp. developers.

Last updated: 2026-03-06 20:33 UTC

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Convert Har File To Excel -

The process begins by renaming the .har file extension to .json (HAR is a JSON object with a specific schema). Within Excel, the user navigates to the Data tab, selects Get Data > From File > From JSON , and imports the renamed file.

df = pd.DataFrame(rows) df.to_excel('output.xlsx', index=False) convert har file to excel

In the modern digital landscape, the HTTP Archive (HAR) file format serves as a forensic accountant’s ledger for web browsers. It meticulously records every single interaction between a browser and a web server, capturing headers, timings, cookies, and payloads. However, raw HAR data is structured in JSON (JavaScript Object Notation), a format optimized for machines, not human readability. Conversely, Microsoft Excel is the de facto standard for business analytics, pivot tables, and data visualization. Converting a HAR file to Excel is therefore not merely a file format change; it is a translation from a hierarchical, event-driven log into a tabular, analytical dataset. This essay explores the necessity, the technical methodologies, and the critical considerations involved in this conversion process. The Rationale for Conversion Before delving into the "how," one must understand the "why." A HAR file is invaluable for web developers debugging slow load times or API engineers tracking failed requests. Yet, for a business analyst, security auditor, or SEO specialist, a raw HAR file is opaque. Excel provides the toolset to answer high-level questions that a JSON viewer cannot: "Which third-party script causes the longest latency?" "What is the average size of images loaded per page?" "Which user agents are returning 404 errors?" By converting HAR to Excel, users unlock sorting, filtering, pivot tables, and charting capabilities, transforming a log of requests into actionable intelligence regarding web performance, data compliance (GDPR), and security auditing. Method One: The Manual Approach (JSON to CSV via Power Query) For users who lack specialized software or scripting skills, modern versions of Excel (Microsoft 365 or Excel 2016+) offer a built-in solution: Power Query . Since the HAR format is fundamentally JSON, Excel can parse it natively. The process begins by renaming the

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