kymatio VS ssqueezepy

Compare kymatio vs ssqueezepy and see what are their differences.

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kymatio ssqueezepy
1 3
790 694
1.3% 1.9%
4.1 3.6
3 months ago 3 months ago
Python Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

kymatio

Posts with mentions or reviews of kymatio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-05.

ssqueezepy

Posts with mentions or reviews of ssqueezepy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-05.

What are some alternatives?

When comparing kymatio and ssqueezepy you can also consider the following projects:

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

madmom - Python audio and music signal processing library

pywt - PyWavelets - Wavelet Transforms in Python

ruptures - ruptures: change point detection in Python

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.

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Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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the 2nd most popular programming language
based on number of references?