{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"pytest-monitor","owner":"CFMTech","isFork":false,"description":"Pytest plugin for analyzing resource usage during test sessions","topicNames":["python","quality","integration-testing","pytest","pytest-plugin","cpu-monitoring","qatools","memory-monitoring"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":3,"issueCount":11,"starsCount":171,"forksCount":15,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-08T12:50:50.348Z"}},{"type":"Public","name":"Jupytab","owner":"CFMTech","isFork":false,"description":"Display in Tableau data from Jupyter notebooks","topicNames":["jupyter-notebook","tableau-connector","tableau-workbooks"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":9,"starsCount":95,"forksCount":31,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-07-13T08:43:19.288Z"}},{"type":"Public","name":"monitor-server-api","owner":"CFMTech","isFork":false,"description":"Monitor-server-api helps you to collect, historicize and exploit the data from your tests written with pytest and monitored with pytest-monitor.","topicNames":["quality","rest-api","integration-testing","cpu-monitoring","qatools","memory-monitoring","python"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":3,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-08-21T14:33:44.045Z"}},{"type":"Public","name":"snakemake","owner":"CFMTech","isFork":true,"description":"This is the development home of the workflow management system Snakemake. For general information, see","topicNames":[],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":0,"starsCount":0,"forksCount":514,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2022-03-10T15:53:53.807Z"}},{"type":"Public","name":"python_pipeline_blog_post","owner":"CFMTech","isFork":false,"description":"How to test a Dask pipeline with Pytest","topicNames":["fixtures","pipeline","pytest","dask"],"topicsNotShown":0,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":2,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-12-09T09:28:52.443Z"}},{"type":"Public","name":"Optimal_cleaning_for_singular_values_of_cross-covariance_matrices","owner":"CFMTech","isFork":false,"description":"Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see <a href=\"https://arxiv.org/abs/1901.05543\" rel=\"nofollow\">https://arxiv.org/abs/1901.05543</a>)","topicNames":["statistics","probability","high-dimensional-data","cross-correlation","probability-theory","denoising","probability-statistics","random-matrix-theory","random-matrix","random-matrices"],"topicsNotShown":4,"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":4,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2021-11-15T10:43:04.172Z"}}],"repositoryCount":6,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"mirror","text":"Mirrors"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}