Skip to content

Commit

Permalink
Latest data: Wed Mar 5 05:07:23 UTC 2025
Browse files Browse the repository at this point in the history
  • Loading branch information
Automated committed Mar 5, 2025
1 parent 6a406e0 commit f3a7b35
Show file tree
Hide file tree
Showing 2 changed files with 73 additions and 36 deletions.
37 changes: 37 additions & 0 deletions data/2025-03-05.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":25647,"open_issues":2149,"stargazers_count":61318,"created_at":"2010-08-17T09:43:38Z","pushed_at":"2025-03-04T18:45:14Z","repo":"scikit-learn/scikit-learn","pip":"scikit-learn","n_contributors":30,"total_downloads":2433439114,"month_downloads":82608742}
{"full_name":"scikit-learn-contrib/imbalanced-learn","description":" A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning","forks":1297,"open_issues":53,"stargazers_count":6931,"created_at":"2014-08-16T05:08:26Z","pushed_at":"2025-03-03T17:31:45Z","repo":"scikit-learn-contrib/imbalanced-learn","pip":"imbalanced-learn","n_contributors":30,"total_downloads":302205612,"month_downloads":13257787}
{"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":55,"open_issues":19,"stargazers_count":467,"created_at":"2022-05-04T13:30:17Z","pushed_at":"2025-02-24T16:05:54Z","repo":"skops-dev/skops","pip":"skops","n_contributors":20,"total_downloads":1020282,"month_downloads":145291}
{"full_name":"koaning/scikit-lego","description":"Extra blocks for scikit-learn pipelines.","forks":122,"open_issues":40,"stargazers_count":1310,"created_at":"2019-01-21T15:30:15Z","pushed_at":"2025-01-19T19:00:46Z","repo":"koaning/scikit-lego","pip":"scikit-lego","n_contributors":30,"total_downloads":1228384,"month_downloads":24806}
{"full_name":"koaning/scikit-partial","description":"Pipeline components that support partial_fit.","forks":1,"open_issues":0,"stargazers_count":45,"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":2673,"month_downloads":102}
{"full_name":"koaning/embetter","description":"just a bunch of useful embeddings for scikit-learn pipelines","forks":16,"open_issues":19,"stargazers_count":483,"created_at":"2021-10-31T16:05:10Z","pushed_at":"2025-01-21T12:59:54Z","repo":"koaning/embetter","pip":"embetter","n_contributors":10,"total_downloads":64950,"month_downloads":2604}
{"full_name":"koaning/human-learn","description":"Natural Intelligence is still a pretty good idea.","forks":54,"open_issues":6,"stargazers_count":804,"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":77484,"month_downloads":3049}
{"full_name":"koaning/doubtlab","description":"Doubt your data, find bad labels. ","forks":17,"open_issues":1,"stargazers_count":509,"created_at":"2021-11-05T17:57:54Z","pushed_at":"2024-07-15T09:53:24Z","repo":"koaning/doubtlab","pip":"doubtlab","n_contributors":6,"total_downloads":31844,"month_downloads":772}
{"full_name":"fairlearn/fairlearn","description":"A Python package to assess and improve fairness of machine learning models.","forks":449,"open_issues":149,"stargazers_count":2020,"created_at":"2018-05-15T01:51:35Z","pushed_at":"2025-02-27T07:55:33Z","repo":"fairlearn/fairlearn","pip":"fairlearn","n_contributors":30,"total_downloads":7523302,"month_downloads":175048}
{"full_name":"skrub-data/skrub","description":"Prepping tables for machine learning","forks":109,"open_issues":73,"stargazers_count":1305,"created_at":"2018-03-12T23:32:22Z","pushed_at":"2025-03-03T08:56:54Z","repo":"skrub-data/skrub","pip":"skrub","n_contributors":30,"total_downloads":52152,"month_downloads":8761}
{"full_name":"DistrictDataLabs/yellowbrick","description":"Visual analysis and diagnostic tools to facilitate machine learning model selection.","forks":562,"open_issues":103,"stargazers_count":4316,"created_at":"2016-05-18T14:12:17Z","pushed_at":"2025-02-19T20:59:35Z","repo":"DistrictDataLabs/yellowbrick","pip":"yellowbrick","n_contributors":30,"total_downloads":24590891,"month_downloads":446934}
{"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":465,"created_at":"2015-09-04T16:33:42Z","pushed_at":"2025-02-27T19:31:20Z","repo":"ploomber/sklearn-evaluation","pip":"sklearn-evaluation","n_contributors":17,"total_downloads":672918,"month_downloads":3992}
{"full_name":"parrt/dtreeviz","description":"A python library for decision tree visualization and model interpretation.","forks":338,"open_issues":73,"stargazers_count":3023,"created_at":"2018-08-13T21:45:15Z","pushed_at":"2024-08-29T16:58:41Z","repo":"parrt/dtreeviz","pip":"dtreeviz","n_contributors":23,"total_downloads":5609487,"month_downloads":128675}
{"full_name":"onnx/sklearn-onnx","description":"Convert scikit-learn models and pipelines to ONNX","forks":112,"open_issues":103,"stargazers_count":570,"created_at":"2018-12-18T20:18:48Z","pushed_at":"2025-02-27T17:05:57Z","repo":"onnx/sklearn-onnx","pip":"skl2onnx","n_contributors":30,"total_downloads":33871322,"month_downloads":698904}
{"full_name":"unit8co/darts","description":"A python library for user-friendly forecasting and anomaly detection on time series.","forks":916,"open_issues":255,"stargazers_count":8373,"created_at":"2018-09-13T15:17:28Z","pushed_at":"2025-03-03T15:33:33Z","repo":"unit8co/darts","pip":"darts","n_contributors":30,"total_downloads":4553707,"month_downloads":132809}
{"full_name":"sktime/sktime","description":"A unified framework for machine learning with time series","forks":1491,"open_issues":1397,"stargazers_count":8235,"created_at":"2018-11-06T15:08:24Z","pushed_at":"2025-03-04T08:38:02Z","repo":"sktime/sktime","pip":"sktime","n_contributors":30,"total_downloads":24957619,"month_downloads":893695}
{"full_name":"aeon-toolkit/aeon","description":"A toolkit for machine learning from time series","forks":174,"open_issues":181,"stargazers_count":1116,"created_at":"2022-12-20T12:44:09Z","pushed_at":"2025-03-04T19:14:38Z","repo":"aeon-toolkit/aeon","pip":"aeon","n_contributors":30,"total_downloads":244837,"month_downloads":11569}
null
{"full_name":"tslearn-team/tslearn","description":"The machine learning toolkit for time series analysis in Python","forks":344,"open_issues":140,"stargazers_count":2946,"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":11947165,"month_downloads":405562}
{"full_name":"skorch-dev/skorch","description":"A scikit-learn compatible neural network library that wraps PyTorch","forks":395,"open_issues":64,"stargazers_count":5978,"created_at":"2017-07-18T00:13:54Z","pushed_at":"2025-02-04T13:00:19Z","repo":"skorch-dev/skorch","pip":"skorch","n_contributors":30,"total_downloads":3472403,"month_downloads":100443}
{"full_name":"adriangb/scikeras","description":"Scikit-Learn API wrapper for Keras.","forks":50,"open_issues":49,"stargazers_count":243,"created_at":"2020-04-10T21:40:36Z","pushed_at":"2024-12-12T21:51:51Z","repo":"adriangb/scikeras","pip":"scikeras","n_contributors":11,"total_downloads":9612547,"month_downloads":510629}
{"full_name":"scikit-learn-contrib/category_encoders","description":"A library of sklearn compatible categorical variable encoders","forks":397,"open_issues":44,"stargazers_count":2426,"created_at":"2015-11-29T19:32:37Z","pushed_at":"2025-01-19T19:45:31Z","repo":"scikit-learn-contrib/category_encoders","pip":"category_encoders","n_contributors":30,"total_downloads":62569137,"month_downloads":1655039}
{"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":929,"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":4316850,"month_downloads":85394}
{"full_name":"x-tabdeveloping/topicwizard","description":"Powerful topic model visualization in Python","forks":13,"open_issues":3,"stargazers_count":112,"created_at":"2022-09-18T11:33:15Z","pushed_at":"2025-02-18T11:25:53Z","repo":"x-tabdeveloping/topicwizard","pip":"topic-wizard","n_contributors":4,"total_downloads":40261,"month_downloads":1883}
{"full_name":"x-tabdeveloping/turftopic","description":"Robust and fast topic models with sentence-transformers.","forks":5,"open_issues":5,"stargazers_count":44,"created_at":"2023-11-28T09:09:47Z","pushed_at":"2025-02-20T08:41:59Z","repo":"x-tabdeveloping/turftopic","pip":"turftopic","n_contributors":5,"total_downloads":33733,"month_downloads":3044}
{"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":"2025-01-06T18:09:10Z","repo":"centre-for-humanities-computing/tweetopic","pip":"tweetopic","n_contributors":3,"total_downloads":16058,"month_downloads":562}
{"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":15,"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":15791,"month_downloads":594}
{"full_name":"scikit-learn-contrib/MAPIE","description":"A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.","forks":114,"open_issues":40,"stargazers_count":1347,"created_at":"2021-03-30T08:47:08Z","pushed_at":"2025-03-04T15:31:58Z","repo":"scikit-learn-contrib/MAPIE","pip":"mapie","n_contributors":30,"total_downloads":2008598,"month_downloads":82301}
{"full_name":"henrikbostrom/crepes","description":"Python package for conformal prediction","forks":38,"open_issues":3,"stargazers_count":480,"created_at":"2021-11-17T09:59:15Z","pushed_at":"2024-09-21T15:34:34Z","repo":"henrikbostrom/crepes","pip":"crepes","n_contributors":1,"total_downloads":56626,"month_downloads":4034}
{"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":8746,"open_issues":429,"stargazers_count":26658,"created_at":"2014-02-06T17:28:03Z","pushed_at":"2025-03-04T22:06:53Z","repo":"dmlc/xgboost","pip":"xgboost","n_contributors":30,"total_downloads":661084562,"month_downloads":23427366}
{"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":3865,"open_issues":413,"stargazers_count":16999,"created_at":"2016-08-05T05:45:50Z","pushed_at":"2025-03-04T16:57:41Z","repo":"microsoft/LightGBM","pip":"lightgbm","n_contributors":30,"total_downloads":411391238,"month_downloads":9017739}
{"full_name":"emlearn/emlearn","description":"Machine Learning inference engine for Microcontrollers and Embedded devices","forks":59,"open_issues":15,"stargazers_count":586,"created_at":"2018-03-16T19:46:17Z","pushed_at":"2025-01-18T23:41:01Z","repo":"emlearn/emlearn","pip":"emlearn","n_contributors":7,"total_downloads":110805,"month_downloads":1627}
{"full_name":"lmcinnes/umap","description":"Uniform Manifold Approximation and Projection","forks":821,"open_issues":496,"stargazers_count":7649,"created_at":"2017-07-02T01:11:17Z","pushed_at":"2025-02-28T21:30:46Z","repo":"lmcinnes/umap","pip":"umap-learn","n_contributors":30,"total_downloads":50666416,"month_downloads":1748939}
{"full_name":"narwhals-dev/narwhals","description":"Lightweight and extensible compatibility layer between dataframe libraries!","forks":131,"open_issues":101,"stargazers_count":856,"created_at":"2024-02-19T17:51:14Z","pushed_at":"2025-03-04T21:27:56Z","repo":"narwhals-dev/narwhals","pip":"narwhals","n_contributors":30,"total_downloads":85154500,"month_downloads":20406528}
{"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":18281,"open_issues":3715,"stargazers_count":44753,"created_at":"2010-08-24T01:37:33Z","pushed_at":"2025-03-05T00:39:08Z","repo":"pandas-dev/pandas","pip":"pandas","n_contributors":30,"total_downloads":7367688049,"month_downloads":296408160}
{"full_name":"pola-rs/polars","description":"Dataframes powered by a multithreaded, vectorized query engine, written in Rust","forks":2105,"open_issues":2361,"stargazers_count":32176,"created_at":"2020-05-13T19:45:33Z","pushed_at":"2025-03-04T17:20:47Z","repo":"pola-rs/polars","pip":"polars","n_contributors":30,"total_downloads":128564589,"month_downloads":10161339}
{"full_name":"probabl-ai/skore","description":"the scikit-learn sidekick","forks":22,"open_issues":73,"stargazers_count":323,"created_at":"2024-06-17T15:29:38Z","pushed_at":"2025-03-04T16:52:29Z","repo":"probabl-ai/skore","pip":"skore","n_contributors":14,"total_downloads":10703,"month_downloads":1590}
Loading

0 comments on commit f3a7b35

Please sign in to comment.