Skip to content

Commit

Permalink
Latest data: Sun Dec 1 05:11:02 UTC 2024
Browse files Browse the repository at this point in the history
  • Loading branch information
Automated committed Dec 1, 2024
1 parent 666c29b commit 0dbf7c7
Show file tree
Hide file tree
Showing 2 changed files with 73 additions and 36 deletions.
37 changes: 37 additions & 0 deletions data/2024-12-01.jsonl
Original file line number Diff line number Diff line change
@@ -0,0 +1,37 @@
{"full_name":"scikit-learn/scikit-learn","description":"scikit-learn: machine learning in Python","forks":25432,"open_issues":2066,"stargazers_count":60290,"created_at":"2010-08-17T09:43:38Z","pushed_at":"2024-11-29T18:42:16Z","repo":"scikit-learn/scikit-learn","pip":"scikit-learn","n_contributors":30,"total_downloads":2191780653,"month_downloads":80864984}
{"full_name":"scikit-learn-contrib/imbalanced-learn","description":" A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning","forks":1287,"open_issues":49,"stargazers_count":6855,"created_at":"2014-08-16T05:08:26Z","pushed_at":"2024-11-25T18:58:15Z","repo":"scikit-learn-contrib/imbalanced-learn","pip":"imbalanced-learn","n_contributors":30,"total_downloads":258464077,"month_downloads":16854147}
{"full_name":"skops-dev/skops","description":"skops is a Python library helping you share your scikit-learn based models and put them in production","forks":54,"open_issues":36,"stargazers_count":455,"created_at":"2022-05-04T13:30:17Z","pushed_at":"2024-11-19T09:51:22Z","repo":"skops-dev/skops","pip":"skops","n_contributors":17,"total_downloads":673059,"month_downloads":93334}
{"full_name":"koaning/scikit-lego","description":"Extra blocks for scikit-learn pipelines.","forks":118,"open_issues":42,"stargazers_count":1286,"created_at":"2019-01-21T15:30:15Z","pushed_at":"2024-11-26T14:09:23Z","repo":"koaning/scikit-lego","pip":"scikit-lego","n_contributors":30,"total_downloads":1151218,"month_downloads":28500}
{"full_name":"koaning/scikit-partial","description":"Pipeline components that support partial_fit.","forks":1,"open_issues":0,"stargazers_count":43,"created_at":"2022-05-16T19:07:12Z","pushed_at":"2024-07-15T09:54:20Z","repo":"koaning/scikit-partial","pip":"scikit-partial","n_contributors":1,"total_downloads":2349,"month_downloads":114}
{"full_name":"koaning/embetter","description":"just a bunch of useful embeddings","forks":15,"open_issues":17,"stargazers_count":467,"created_at":"2021-10-31T16:05:10Z","pushed_at":"2024-09-12T11:51:19Z","repo":"koaning/embetter","pip":"embetter","n_contributors":9,"total_downloads":56645,"month_downloads":2855}
{"full_name":"koaning/human-learn","description":"Natural Intelligence is still a pretty good idea.","forks":54,"open_issues":6,"stargazers_count":798,"created_at":"2020-07-11T11:03:11Z","pushed_at":"2024-07-15T09:55:16Z","repo":"koaning/human-learn","pip":"human-learn","n_contributors":6,"total_downloads":68518,"month_downloads":2884}
{"full_name":"koaning/doubtlab","description":"Doubt your data, find bad labels. ","forks":17,"open_issues":1,"stargazers_count":503,"created_at":"2021-11-05T17:57:54Z","pushed_at":"2024-07-15T09:53:24Z","repo":"koaning/doubtlab","pip":"doubtlab","n_contributors":6,"total_downloads":29329,"month_downloads":936}
{"full_name":"fairlearn/fairlearn","description":"A Python package to assess and improve fairness of machine learning models.","forks":420,"open_issues":158,"stargazers_count":1959,"created_at":"2018-05-15T01:51:35Z","pushed_at":"2024-11-29T11:28:28Z","repo":"fairlearn/fairlearn","pip":"fairlearn","n_contributors":30,"total_downloads":6676001,"month_downloads":183565}
{"full_name":"skrub-data/skrub","description":"Prepping tables for machine learning","forks":99,"open_issues":64,"stargazers_count":1233,"created_at":"2018-03-12T23:32:22Z","pushed_at":"2024-11-29T12:30:07Z","repo":"skrub-data/skrub","pip":"skrub","n_contributors":30,"total_downloads":23361,"month_downloads":4646}
{"full_name":"DistrictDataLabs/yellowbrick","description":"Visual analysis and diagnostic tools to facilitate machine learning model selection.","forks":559,"open_issues":99,"stargazers_count":4296,"created_at":"2016-05-18T14:12:17Z","pushed_at":"2024-09-27T16:58:57Z","repo":"DistrictDataLabs/yellowbrick","pip":"yellowbrick","n_contributors":30,"total_downloads":23277805,"month_downloads":686006}
{"full_name":"ploomber/sklearn-evaluation","description":"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.","forks":54,"open_issues":5,"stargazers_count":459,"created_at":"2015-09-04T16:33:42Z","pushed_at":"2024-09-18T16:57:14Z","repo":"ploomber/sklearn-evaluation","pip":"sklearn-evaluation","n_contributors":17,"total_downloads":658491,"month_downloads":5824}
{"full_name":"parrt/dtreeviz","description":"A python library for decision tree visualization and model interpretation.","forks":334,"open_issues":72,"stargazers_count":2971,"created_at":"2018-08-13T21:45:15Z","pushed_at":"2024-08-29T16:58:41Z","repo":"parrt/dtreeviz","pip":"dtreeviz","n_contributors":23,"total_downloads":5253476,"month_downloads":117788}
{"full_name":"onnx/sklearn-onnx","description":"Convert scikit-learn models and pipelines to ONNX","forks":104,"open_issues":97,"stargazers_count":557,"created_at":"2018-12-18T20:18:48Z","pushed_at":"2024-11-14T18:52:29Z","repo":"onnx/sklearn-onnx","pip":"skl2onnx","n_contributors":30,"total_downloads":31421040,"month_downloads":1137590}
{"full_name":"unit8co/darts","description":"A python library for user-friendly forecasting and anomaly detection on time series.","forks":885,"open_issues":238,"stargazers_count":8117,"created_at":"2018-09-13T15:17:28Z","pushed_at":"2024-11-30T17:08:33Z","repo":"unit8co/darts","pip":"darts","n_contributors":30,"total_downloads":4141532,"month_downloads":128670}
{"full_name":"sktime/sktime","description":"A unified framework for machine learning with time series","forks":1388,"open_issues":1246,"stargazers_count":7995,"created_at":"2018-11-06T15:08:24Z","pushed_at":"2024-11-30T19:49:22Z","repo":"sktime/sktime","pip":"sktime","n_contributors":30,"total_downloads":22216041,"month_downloads":900032}
{"full_name":"aeon-toolkit/aeon","description":"A toolkit for machine learning from time series","forks":129,"open_issues":152,"stargazers_count":1028,"created_at":"2022-12-20T12:44:09Z","pushed_at":"2024-11-29T14:07:53Z","repo":"aeon-toolkit/aeon","pip":"aeon","n_contributors":30,"total_downloads":212859,"month_downloads":18434}
null
{"full_name":"tslearn-team/tslearn","description":"The machine learning toolkit for time series analysis in Python","forks":342,"open_issues":139,"stargazers_count":2918,"created_at":"2017-05-04T13:08:13Z","pushed_at":"2024-07-01T09:07:36Z","repo":"tslearn-team/tslearn","pip":"tslearn","n_contributors":30,"total_downloads":10750107,"month_downloads":393233}
{"full_name":"skorch-dev/skorch","description":"A scikit-learn compatible neural network library that wraps PyTorch","forks":391,"open_issues":62,"stargazers_count":5895,"created_at":"2017-07-18T00:13:54Z","pushed_at":"2024-11-05T16:17:39Z","repo":"skorch-dev/skorch","pip":"skorch","n_contributors":30,"total_downloads":3061905,"month_downloads":147340}
{"full_name":"adriangb/scikeras","description":"Scikit-Learn API wrapper for Keras.","forks":50,"open_issues":47,"stargazers_count":242,"created_at":"2020-04-10T21:40:36Z","pushed_at":"2024-11-25T15:45:39Z","repo":"adriangb/scikeras","pip":"scikeras","n_contributors":11,"total_downloads":7941129,"month_downloads":503703}
{"full_name":"scikit-learn-contrib/category_encoders","description":"A library of sklearn compatible categorical variable encoders","forks":395,"open_issues":46,"stargazers_count":2412,"created_at":"2015-11-29T19:32:37Z","pushed_at":"2024-10-01T21:23:20Z","repo":"scikit-learn-contrib/category_encoders","pip":"category_encoders","n_contributors":30,"total_downloads":57953604,"month_downloads":1533517}
{"full_name":"scikit-multilearn/scikit-multilearn","description":"A scikit-learn based module for multi-label et. al. classification","forks":180,"open_issues":90,"stargazers_count":921,"created_at":"2014-04-30T13:05:44Z","pushed_at":"2024-02-01T04:40:03Z","repo":"scikit-multilearn/scikit-multilearn","pip":"scikit-multilearn","n_contributors":22,"total_downloads":4087157,"month_downloads":66726}
{"full_name":"x-tabdeveloping/topicwizard","description":"Powerful topic model visualization in Python","forks":13,"open_issues":4,"stargazers_count":105,"created_at":"2022-09-18T11:33:15Z","pushed_at":"2024-08-22T14:59:32Z","repo":"x-tabdeveloping/topicwizard","pip":"topic-wizard","n_contributors":4,"total_downloads":33707,"month_downloads":2199}
{"full_name":"x-tabdeveloping/turftopic","description":"Robust and fast topic models with sentence-transformers.","forks":5,"open_issues":4,"stargazers_count":34,"created_at":"2023-11-28T09:09:47Z","pushed_at":"2024-11-28T12:08:28Z","repo":"x-tabdeveloping/turftopic","pip":"turftopic","n_contributors":5,"total_downloads":25312,"month_downloads":3924}
{"full_name":"centre-for-humanities-computing/tweetopic","description":"Blazing fast topic modelling for short texts.","forks":3,"open_issues":8,"stargazers_count":31,"created_at":"2022-08-30T08:47:33Z","pushed_at":"2024-10-07T18:33:32Z","repo":"centre-for-humanities-computing/tweetopic","pip":"tweetopic","n_contributors":3,"total_downloads":14378,"month_downloads":466}
{"full_name":"centre-for-humanities-computing/stormtrooper","description":"Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.","forks":2,"open_issues":1,"stargazers_count":13,"created_at":"2023-08-09T06:39:40Z","pushed_at":"2024-11-21T14:10:14Z","repo":"centre-for-humanities-computing/stormtrooper","pip":"stormtrooper","n_contributors":1,"total_downloads":13215,"month_downloads":1353}
{"full_name":"scikit-learn-contrib/MAPIE","description":"A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.","forks":111,"open_issues":40,"stargazers_count":1304,"created_at":"2021-03-30T08:47:08Z","pushed_at":"2024-11-29T17:06:50Z","repo":"scikit-learn-contrib/MAPIE","pip":"mapie","n_contributors":30,"total_downloads":1731859,"month_downloads":81282}
{"full_name":"henrikbostrom/crepes","description":"Python package for conformal prediction","forks":35,"open_issues":2,"stargazers_count":461,"created_at":"2021-11-17T09:59:15Z","pushed_at":"2024-09-21T15:34:34Z","repo":"henrikbostrom/crepes","pip":"crepes","n_contributors":1,"total_downloads":46214,"month_downloads":4405}
{"full_name":"dmlc/xgboost","description":"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow","forks":8736,"open_issues":470,"stargazers_count":26353,"created_at":"2014-02-06T17:28:03Z","pushed_at":"2024-12-01T02:56:18Z","repo":"dmlc/xgboost","pip":"xgboost","n_contributors":30,"total_downloads":586811909,"month_downloads":26573685}
{"full_name":"microsoft/LightGBM","description":"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.","forks":3836,"open_issues":378,"stargazers_count":16733,"created_at":"2016-08-05T05:45:50Z","pushed_at":"2024-12-01T04:51:56Z","repo":"microsoft/LightGBM","pip":"lightgbm","n_contributors":30,"total_downloads":383993800,"month_downloads":11073794}
{"full_name":"emlearn/emlearn","description":"Machine Learning inference engine for Microcontrollers and Embedded devices","forks":54,"open_issues":14,"stargazers_count":522,"created_at":"2018-03-16T19:46:17Z","pushed_at":"2024-08-19T11:33:41Z","repo":"emlearn/emlearn","pip":"emlearn","n_contributors":7,"total_downloads":106211,"month_downloads":1703}
{"full_name":"lmcinnes/umap","description":"Uniform Manifold Approximation and Projection","forks":809,"open_issues":484,"stargazers_count":7491,"created_at":"2017-07-02T01:11:17Z","pushed_at":"2024-11-29T15:34:40Z","repo":"lmcinnes/umap","pip":"umap-learn","n_contributors":30,"total_downloads":45514369,"month_downloads":2287808}
{"full_name":"narwhals-dev/narwhals","description":"Lightweight and extensible compatibility layer between dataframe libraries!","forks":92,"open_issues":66,"stargazers_count":626,"created_at":"2024-02-19T17:51:14Z","pushed_at":"2024-11-30T23:30:15Z","repo":"narwhals-dev/narwhals","pip":"narwhals","n_contributors":30,"total_downloads":41106894,"month_downloads":12950413}
{"full_name":"pandas-dev/pandas","description":"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","forks":18031,"open_issues":3650,"stargazers_count":43911,"created_at":"2010-08-24T01:37:33Z","pushed_at":"2024-11-29T13:51:45Z","repo":"pandas-dev/pandas","pip":"pandas","n_contributors":30,"total_downloads":6459831395,"month_downloads":272713986}
{"full_name":"pola-rs/polars","description":"Dataframes powered by a multithreaded, vectorized query engine, written in Rust","forks":1989,"open_issues":2254,"stargazers_count":30629,"created_at":"2020-05-13T19:45:33Z","pushed_at":"2024-11-30T11:57:29Z","repo":"pola-rs/polars","pip":"polars","n_contributors":30,"total_downloads":98287712,"month_downloads":10739839}
{"full_name":"probabl-ai/skore","description":"Skore lets you \"Own Your Data Science.\" It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.","forks":7,"open_issues":59,"stargazers_count":82,"created_at":"2024-06-17T15:29:38Z","pushed_at":"2024-11-29T16:56:42Z","repo":"probabl-ai/skore","pip":"skore","n_contributors":12,"total_downloads":4806,"month_downloads":1803}
Loading

0 comments on commit 0dbf7c7

Please sign in to comment.