Les pubs vous déplaisent ? Aller Sans pub Auj. 

Stack Trace Formatter & Parser

DonnéesPromoteurTexte

ANNONCE · Supprimer ?

SAISIR

Processus automatique

SORTIR

Côté client

ANNONCE · Supprimer ?

Guide

Stack Trace Formatter & Parser

Paste a raw stack trace from JavaScript, Python, Java, Ruby, Go, .NET, or PHP and instantly get a colour-coded, frame-by-frame breakdown. The tool auto-detects the language, separates your code from framework noise, and produces a clean Markdown block that you can drop straight into a bug report or pull request.

Comment utiliser

Paste the raw stack trace into the input area, or click one of the language examples to see the formatter in action.
Leave the language on Détection automatique, or pick one manually if the format is unusual or truncated.
Basculer Collapse framework / vendor frames to fold long runs of library code into a single expandable block.
Utilisez Highlight user code frames to make your own files jump out from the rest of the trace.
Click the copy button next to the Markdown output to paste a clean code block into GitHub, Slack, or Jira.

Caractéristiques

Seven languages supported – JavaScript / TypeScript, Python, Java / Kotlin, Ruby, Go, .NET (C#), and PHP.
Automatic language detection – the parser inspects characteristic patterns in your trace and picks the right grammar, so you rarely need to set it by hand.
Vendor frame collapsing – long runs of node_modules, site-packages, Spring, gems, or System.* frames fold into a single click-to-expand row.
User code highlighting – your own files appear in a warm accent colour so the relevant lines stop hiding inside the noise.
Exception summary – the type and message are extracted into a header with badges for total, user, and vendor frame counts.
Caused-by chains – nested causes from Java and chained Python tracebacks are rendered as separate sections.
Markdown export – generates a fenced code block ready to paste into bug reports, pull requests, or chat tools.
Entièrement côté client – nothing ever leaves your browser; safe to use with internal stack traces from production systems.

Cas d'utilisation courants

Triage a production incident – paste a long trace and immediately spot which of your own files is at the top of the chain.
Write a better bug report – export a Markdown-formatted trace that renders cleanly on GitHub, GitLab, and Jira.
Review a teammate’s error log – collapse third-party frames so the conversation stays focused on the code you actually own.
Teach debugging – use the user / vendor colouring to show newer developers how to read a trace from the bottom up.

 FAQ

Why do you read a stack trace from the bottom up?

In most languages, the stack grows downward as functions call each other, and the runtime prints the most recent call at the top. Reading from the bottom up gives you the chronological order: the entry point first, then each successive call, then the failing line last. Looking at the bottom is also where 'Caused by' clauses live in Java and chained tracebacks live in Python, which often hold the real root cause.
What is the difference between a stack trace and a crash dump?

A stack trace is a textual list of function calls that were active when an exception was raised. A crash dump is a binary snapshot of memory, registers, and threads at the moment of a fatal fault, usually generated by the operating system or runtime. Stack traces are cheap and shareable in chat; crash dumps require a debugger to be useful and often contain sensitive memory contents.
What are framework or vendor frames?

Frames whose file path or fully qualified name belongs to a library, framework, runtime, or installed dependency rather than to your own source code. Examples include anything under node_modules, site-packages, vendor/, /usr/lib/, the GOROOT, java.* / javax.* prefixes, and the System.* / Microsoft.* namespaces in .NET. They rarely contain the bug you are hunting, which is why collapsing them makes a trace much easier to read.
Why do Python tracebacks include a 'During handling of the above exception' line?

Python preserves exception chains: when one exception is raised while another is being handled, the interpreter prints both. 'During handling of the above exception, another exception occurred' marks an implicit chain, while 'The above exception was the direct cause of the following exception' marks an explicit chain set via 'raise X from Y'. Together they help you see whether a later error was caused by, or merely happened on top of, an earlier one.
What is a panic in Go and how is it different from an exception?

A panic is Go's mechanism for unrecoverable runtime errors, similar in spirit to an exception but intentionally narrower. Idiomatic Go uses returned error values for expected failure modes and reserves panic for genuinely unexpected programming bugs such as nil pointer dereferences or out-of-bounds slice access. A panic walks the goroutine's stack, runs deferred functions, and ultimately crashes the program unless caught by recover.

Envie d'une expérience sans pub ? Passez à la version sans pub



 Installez nos extensions

Ajoutez des outils IO à votre navigateur préféré pour un accès instantané et une recherche plus rapide

Sur

恵 Le Tableau de Bord Est Arrivé !

Tableau de Bord est une façon amusante de suivre vos jeux, toutes les données sont stockées dans votre navigateur. D'autres fonctionnalités arrivent bientôt !

ANNONCE · Supprimer ?