| alandefreitas/matplotplusplus |
3,496 |
|
0 |
0 |
over 2 years ago |
1 |
March 03, 2021 |
46 |
mit |
C++ |
| Matplot++: A C++ Graphics Library for Data Visualization 📊🗾 |
| spotify/chartify |
3,436 |
|
5 |
5 |
over 2 years ago |
25 |
October 12, 2023 |
49 |
apache-2.0 |
Python |
| Python library that makes it easy for data scientists to create charts. |
| mljar/mljar-supervised |
2,867 |
|
0 |
2 |
about 2 years ago |
84 |
September 26, 2023 |
141 |
mit |
Python |
| Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation |
| reiinakano/scikit-plot |
2,277 |
|
27 |
51 |
about 3 years ago |
27 |
August 19, 2018 |
25 |
mit |
Python |
| An intuitive library to add plotting functionality to scikit-learn objects. |
| IndrajeetPatil/ggstatsplot |
1,860 |
|
1 |
4 |
about 2 years ago |
40 |
August 07, 2023 |
62 |
gpl-3.0 |
R |
| Enhancing {ggplot2} plots with statistical analysis 📊📣 |
| vegas-viz/Vegas |
682 |
|
2 |
4 |
about 6 years ago |
6 |
July 25, 2017 |
52 |
mit |
Scala |
| The missing MatPlotLib for Scala + Spark |
| abhayspawar/featexp |
656 |
|
1 |
0 |
over 5 years ago |
7 |
July 26, 2020 |
0 |
mit |
Jupyter Notebook |
| Feature exploration for supervised learning |
| jphall663/interpretable_machine_learning_with_python |
629 |
|
0 |
0 |
about 3 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security. |
| JetBrains/lets-plot-kotlin |
385 |
|
0 |
6 |
over 2 years ago |
19 |
November 06, 2023 |
15 |
mit |
Kotlin |
| Kotlin API for Lets-Plot Multiplatform plotting library based on the Grammar of Graphics |
| Kotlin/kandy |
379 |
|
0 |
2 |
about 2 years ago |
26 |
November 17, 2023 |
106 |
apache-2.0 |
Kotlin |
| Kotlin plotting library. |
