petastorm VS best-of-ml-python

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

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. (by uber)
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petastorm best-of-ml-python
1 13
1,338 6,163
3.7% 3.9%
7.4 6.8
8 days ago 7 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.

petastorm

Posts with mentions or reviews of petastorm. We have used some of these posts to build our list of alternatives and similar projects.

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 2021-04-18.

What are some alternatives?

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

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

dtale - Visualizer for pandas data structures

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

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

Awesome-WAF - 🔥 Everything about web-application firewalls (WAF).

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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

awesome-python - A curated list of awesome Python frameworks, libraries, software and resources

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects

einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

speechbrain - A PyTorch-based Speech Toolkit

xdoctest - A rewrite of Python's builtin doctest module (with pytest plugin integration) with AST instead of REGEX.