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Developer & Diagnostics File Viewers

Open, inspect, and analyze developer and diagnostic files online. Preview Jupyter Notebooks safely without Python and sanitize HTTP network logs locally in your browser.

Available Developer Viewers

.IPYNB

IPYNB Viewer

Safely preview Jupyter Notebook Markdown, code cells, metadata and supported saved outputs without installing Jupyter or executing code.

.HAR

HAR Viewer

Open and inspect HAR network logs, analyze requests and waterfall timings, identify potentially sensitive information and export a sanitized HAR copy locally in the browser.

About Developer & Diagnostics Viewers

Modern software engineering and data science workflows produce diagnostic files, network traces, and interactive notebooks that are difficult to inspect without heavyweight desktop tooling. HTTP Archives (`.har`) capture comprehensive browser network sessions, while Jupyter Notebooks (`.ipynb`) blend Markdown documentation, executable code, and interactive visual outputs.

FileViewerHub provides dedicated developer utilities running entirely inside your browser sandbox. Inspect request headers, timing waterfalls, and notebook cells safely on macOS, Windows, Linux, or mobile devices with zero server uploads and full client-side privacy.

Developer & Diagnostics Overview

FormatStructurePrimary Use CaseKey Capabilities
IPYNBJSON (Notebook Cells)Data science, code sharing, documentation, computational researchRich Markdown rendering, code inspection, saved visual outputs
HARJSON (HTTP Archive Log)Web debugging, performance analysis, API troubleshootingRequest waterfall, payload inspection, client-side secret redaction

Developer & Diagnostics FAQ

Can I view Jupyter Notebooks (.ipynb) without installing Python or Jupyter?

Yes. FileViewerHub renders Markdown cells, syntax-highlighted code, and saved output artifacts directly in your browser without requiring a Python runtime, Conda environment, or local Jupyter server.

Is my HAR file data sent to a remote server for inspection?

No. All HTTP Archive (HAR) files are parsed and rendered locally in your browser memory. Your network requests, payloads, headers, and cookies never leave your device.

Can I sanitize sensitive tokens or cookies before sharing a HAR file?

Yes. The HAR Viewer includes built-in redaction controls to remove Authorization headers, session cookies, bearer tokens, and API keys client-side before exporting a sanitized HAR file.

Is it safe to open notebooks or HAR files from untrusted sources?

Yes. FileViewerHub parses notebook structures purely as read-only data without executing any embedded Python scripts or triggering active network requests from logged HAR entries.

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