AlphaPy VS best-of-ml-python

Compare AlphaPy vs best-of-ml-python and see what are their differences.

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AlphaPy best-of-ml-python
25 16
1,049 15,335
1.9% 1.5%
6.7 7.8
3 months ago 4 days ago
Python Python
Apache License 2.0 Creative Commons Attribution Share Alike 4.0
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.

AlphaPy

Posts with mentions or reviews of AlphaPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

best-of-ml-python

Posts with mentions or reviews of best-of-ml-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-10.

What are some alternatives?

When comparing AlphaPy and best-of-ml-python you can also consider the following projects:

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.

guesslang - Detect the programming language of a source code

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

dtale - Visualizer for pandas data structures

sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.

ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)

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.

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

MLBox - MLBox is a powerful Automated Machine Learning python library.

kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data