best-of-python-dev VS best-of-ml-python

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

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best-of-python-dev best-of-ml-python
2 16
895 15,208
2.9% 1.3%
7.8 7.9
7 days ago 7 days ago
Python Python
Creative Commons Attribution Share Alike 4.0 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.

best-of-python-dev

Posts with mentions or reviews of best-of-python-dev. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-14.
  • [P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
    10 projects | /r/MachineLearning | 14 Jan 2021
    Awesome! Yep, we have a list for all kinds of python dev-tools here. Community contributions need to be done via issue or pull request as documented here. There is still work involved to curated and categorize projects, however, ranking, updating of metadata, and most other parts are automized. We have scripts that already provide as with a prefiltered list of potential projects (e.g. by analyzing the top 1000 pypi projects), but the final curation happens manually.
    10 projects | /r/MachineLearning | 14 Jan 2021
    best-of-python-dev: Python developer tools and libraries:

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 best-of-python-dev and best-of-ml-python you can also consider the following projects:

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

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

dtale - Visualizer for pandas data structures

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

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

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

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

speechbrain - A PyTorch-based Speech Toolkit

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.