{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/3"},{"label":"Internet","url":"https://skillfed.io/packages/category/internet/3"},{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/3"},{"label":"Distributed Computing","url":"https://skillfed.io/packages/category/system-distributed-computing/2"},{"label":"Systems Administration","url":"https://skillfed.io/packages/category/system-systems-administration"}],"enrichment":{"capability":"Converts Python cProfile statistics into interactive flamegraph visualizations, either as native SVG or as trace logs compatible with flamegraph.pl.","skillfed_tags":["profiling","performance-analysis","visualization"],"use_cases":["Profile a long-running Python service to identify bottlenecks and understand which functions consume the most CPU time.","Generate an interactive SVG flamegraph from a cProfile dump to share with team members for performance review.","Replace gprof2dot for Python profiling when you want cleaner, less noisy visualizations of call stacks.","Export cProfile data as a trace log and process it with flamegraph.pl for further customization or analysis.","Analyze batch job performance by profiling the script, generating a flamegraph, and drilling into specific call paths."],"what_it_does":"Flameprof reads Python cProfile statistics and generates flamegraph visualizations to help you understand where your code spends time. It addresses a key limitation of cProfile's built-in reporting\u2014which can be verbose and hard to parse\u2014by rendering call stacks as compact, interactive flamegraphs. You profile your script normally using cProfile, then pipe the .prof file through flameprof to get an SVG you can open in a browser and explore by clicking.\n\nThe tool offers two output modes: native SVG with interactive features like tooltips showing cumulative and total timings and call counts, or a trace log format that feeds into the flamegraph.pl script. The native SVG mode includes visual cues like green bars to indicate where flameprof estimates timing ratios, and supports an inverted view to show total time across all calls. It's designed for developers, system administrators, and performance engineers who need to profile Python applications and visualize the results clearly.","worth_installing":"No. The package is abandoned (last commit 2023-03-23, latest release 2018-12-25) and likely has compatibility issues with modern Python versions. While it solves a real problem\u2014making cProfile output readable\u2014the lack of maintenance, combined with high install friction from a source tarball distribution, makes it a poor choice for new projects. Consider maintained alternatives for production profiling workflows."},"id":"flameprof","links":{"html":"https://skillfed.io/packages/flameprof","md":"https://skillfed.io/packages/flameprof.md","pypi":"https://pypi.org/project/flameprof/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2018-12-25","license_spdx":null,"license_treatment":"permissive","name":"flameprof","python_support":"unspecified","summary":"cProfile flamegraph generator"},"popularity":{"monthly_downloads":621844,"position":5713,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4"}