|9 days ago||6 months ago|
|GNU General Public License v3.0 or later||MIT License|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Strange Attractors (My first package on pip)
2 projects | reddit.com/r/Python | 22 Jul 2021
Images: Github link, DeviantArt2 projects | reddit.com/r/Python | 22 Jul 2021
Oh, sorry! Seems like you're trying to run the package in python 3.7. The package currently only supports Python 3.8 and above (3.7 and below may have some bugs in matplotlib). If you want, you can install from source (github)
What are some alternatives?
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
julia - The Julia Programming Language
cheatsheets - Official Matplotlib cheat sheets
hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..
GreyNSights - Privacy-Preserving Data Analysis using Pandas
napari - napari: a fast, interactive, multi-dimensional image viewer for python
concrete-numpy - Concrete Numpy is an open-source library which simplifies the use of fully homomorphic encryption.
WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
quaternion - Add built-in support for quaternions to numpy