Skip to main content
100%

Gist 290788

✓ Published0🌍 Public
XXXX
Last edited Jan 30, 2010
Created on Jan 30, 2010

This example visualizes the output of a Node.js test suite run, showing each test's progress, pass/fail status, and any errors or crashes over time. The data comes from a plain-text log file generated by a command-line test runner. The visualization uses D3.js to parse the log and render a timeline of test executions, with colored markers indicating passing tests, failures, and crashes, alongside error messages and stack traces for failed tests.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 722270

This example visualizes a TeamCity build log, showing the chronological sequence of build steps and their statuses. It uses D3.js to render the log as a timeline, with each log entry positioned along a vertical axis based on its timestamp. The visualization employs `d3.scaleTime` for time mapping and `d3.axisLeft` for the time scale, while colored dots or markers indicate success or failure of individual steps. The raw log text is parsed to extract timestamps and messages, which are then displayed as a scrollable, annotated list.

XXXX
75% match
Loading thumbnail…

Gist 209613

This example visualizes the terminal output of a failed Ruby Enterprise Edition installation, showing each command line and its associated error or status message. The data comes from a gist file containing the raw shell session text. It uses d3.js to render the log lines as a structured text layout, with color coding to distinguish normal output from error messages and italicized progress notes. The visualization employs standard DOM manipulation and text-wrapping techniques to display the chronological sequence of commands and their results.

XXXX
73% match
Loading thumbnail…

npm start log

This visualization parses the terminal output of an `npm start` command into a hierarchical tree layout, showing the sequence of error messages and stack traces as interconnected nodes. It uses the d3.hierarchy and d3.tree layouts to arrange the log lines, with each line of the error trace becoming a separate leaf node connected by parent-child links. The color of each node encodes the severity of the message, from the initial command to the final `npm ERR! not ok code 0` status. The text is rendered directly into SVG elements using d3’s selection and data-join methods, preserving the original wording of the error output.

SStephen
71% match
Loading thumbnail…

Gist 768fb636b8937310866e37881fe515db

This visualization displays the Node.js build process as an interactive network of linked nodes, revealing dependencies and sequential steps through a force-directed layout. It uses D3.js’s `d3.forceSimulation` and `d3.forceLink` to position and connect the nodes, with colors encoding different build stages. The data originates from the Node.js `BUILDING.md` documentation and pull-request guidelines, which are parsed and mapped to graph elements. Hovering highlights connected paths, while zoom and pan controls allow exploration of the full build workflow.

MMistyBlunch
70% match
Loading thumbnail…

Gist 182075

This visualization uses a network graph to show a chronological sequence of error messages from a Phusion Passenger application server log. It demonstrates how a single failing dependency—a missing Ruby interpreter path—triggers cascading system events. The rendering relies on a custom force-directed layout, likely built with D3.js’s `d3.forceSimulation`, where each node represents a distinct log entry and edges encode the propagation of errors across time and process IDs. The color scale maps error severity, while the spatial arrangement clusters related failures, making the cascade pattern visually explicit. Data comes directly from the pasted Gist text file, parsed for timestamps, PIDs, and stack-trace lines to drive the layout.

DDylanFM
69% match
Loading thumbnail…

Gist 158909

This visualization parses monit log files from Engine Yard to display the status of a scheduled event processor process. It uses `d3.forceSimulation` to position nodes in a network graph, where each node represents a monitored service or host entry parsed from the plain-text log. The rendering relies on SVG elements driven by D3’s enter/update/exit data joins, with tooltips showing process details like PID and monitoring mode. The example specifically highlights the `scheduled_event_processor_crusher` service, using the log’s runtime constants and service list as the data source.

XXXX
69% match
Loading thumbnail…

Gist 411267

This visualization parses a Ruby on Rails application log to trace New Relic agent activity, showing a chronological sequence of events from initialization through errors and reconnections. The code uses d3.forceSimulation to arrange log entries as connected nodes, with timestamped data extracted from the gistfile1.txt source. A line chart displays timing patterns across the log, while node colors and labels distinguish INFO, ERROR, and stack trace elements. The rendering relies on d3.select and SVG paths to map the log’s structure.

XXXX
68% match
Loading thumbnail…

Gist fdfeb2b6c1c7c936cff968552d66277f

This example visualizes the flow of a failed HTTP request within a Node.js application, tracking the error from its initial 403 response through the complete async call stack. The visualization uses a structured log-and-trace rendering approach, where each line of the stack trace is displayed as a sequential node in a vertical flow diagram. The code relies on axios for making the POST request to the `/api/v1/Challenges` endpoint and Node’s built-in async/await pattern to propagate the error through layers like `ChallengeClient`, `ChallengeController`, and `AccountController`. The screenshot shows the raw error object with its nested `config` and `requestId` metadata.

HHoffmannP
68% match