Package · PyPI

petastorm

PyPI · v0.13.1 · Apache License, Version 2.0

Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks.

Install

pip install petastorm

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.46
DerivedRelease cadence and recency, 0 to 1
Releases per year
12
88 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v0.13.1
88 versions
First published
AUG 30, 2018
Last release
JAN 2, 2026
10mo ago
Licence
Apache License, Version 2.0

Repository

In the Crest catalog

uber/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.

Stars
1.9K
Forks
286
Language
Python
Last push
10mo ago
Last release
10mo ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.13.1

Runtime 13

  • dill>=0.2.1
  • diskcache>=3.0.0
  • fsspecAny version
  • future>=0.10.2
  • numpy>=1.13.3
  • packaging>=15.0
  • pandas>=0.19.0
  • psutil>=4.0.0
  • pyarrow>=6.0.1
  • pyspark>=2.1.0
  • pyzmq>=14.0.0
  • setuptools<70
  • six>=1.5.0

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