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 Viewer
Safely preview Jupyter Notebook Markdown, code cells, metadata and supported saved outputs without installing Jupyter or executing code.
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
| Format | Structure | Primary Use Case | Key Capabilities |
|---|---|---|---|
| IPYNB | JSON (Notebook Cells) | Data science, code sharing, documentation, computational research | Rich Markdown rendering, code inspection, saved visual outputs |
| HAR | JSON (HTTP Archive Log) | Web debugging, performance analysis, API troubleshooting | Request waterfall, payload inspection, client-side secret redaction |
Developer & Diagnostics FAQ
Can I view Jupyter Notebooks (.ipynb) without installing Python or Jupyter?
Is my HAR file data sent to a remote server for inspection?
Can I sanitize sensitive tokens or cookies before sharing a HAR file?
Is it safe to open notebooks or HAR files from untrusted sources?
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