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)
Tensorflow Pytorch Deep Learning Machine Learning sysml Pyspark pyarrow Parquet parquet-files
Source Code
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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. (by ml-tooling)
Python Machine Learning Data Science NLP Data Visualization Tensorflow Pytorch scikit-learn Keras data-visualizations Deep Learning Automl ML Jax Transformer Data Analysis chatgpt Gpt gpt-3
Source Code
ml-python.best-of.org
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petastorm best-of-ml-python
2 16
1,748 15,284
1.1% 1.2%
3.7 7.9
5 months 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 2022-12-10.

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.

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

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

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

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

dtale - Visualizer for pandas data structures

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

jina - ☁️ Build multimodal AI applications with cloud-native stack

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

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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

petastorm vs horovod best-of-ml-python vs Awesome-WAF petastorm vs Activeloop Hub best-of-ml-python vs ktrain petastorm vs d2l-en best-of-ml-python vs dtale petastorm vs nni best-of-ml-python vs ffcv petastorm vs jina best-of-ml-python vs awesome-python petastorm vs wandb best-of-ml-python vs kmodes