petastorm VS data-toolset

Compare petastorm vs data-toolset 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)

data-toolset

Upgrade from avro-tools and parquet-tools jars to a more user-friendly Python package. (by luminousmen)
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petastorm data-toolset
2 1
1,752 1
0.7% -
3.7 6.8
5 months ago 2 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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petastorm

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

data-toolset

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

What are some alternatives?

When comparing petastorm and data-toolset you can also consider the following projects:

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

prql-query - Query and transform data with PRQL

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]

dbd - dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.

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.

rill - Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

pystore - Fast data store for Pandas time-series data

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

amazon-s3-find-and-forget - Amazon S3 Find and Forget is a solution to handle data erasure requests from data lakes stored on Amazon S3, for example, pursuant to the European General Data Protection Regulation (GDPR)

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

DataProfiler - What's in your data? Extract schema, statistics and entities from datasets