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GitHub / hpcgroup / pipit
Analyze parallel execution traces using pandas dataframes
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hpcgroup%2Fpipit
Stars: 22
Forks: 4
Open Issues: 25
License: mit
Language: Python
Repo Size: 61.9 MB
Dependencies:
9
Created: almost 3 years ago
Updated: 1 day ago
Last pushed: 18 days ago
Last synced: 1 day ago
Commit Stats
Commits: 42
Authors: 5
Mean commits per author: 8.4
Development Distribution Score: 0.524
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/hpcgroup/pipit
Topics: data-analytics, execution-traces, hpc, pandas, performance, performance-analysis, python, traces
Files
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pygments <2.13
- sphinx *
- sphinx-rtd-theme *
- sphinxcontrib-programoutput *