PE

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.

1.9k 286 +0/wk
GitHub
deep-learning machine-learning parquet parquet-files pyarrow pyspark pytorch sysml tensorflow
Trend 3

Star & Fork Trend (18 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

uber/petastorm has +0 stars this period . 7-day velocity: 0.1%.

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Signal-backed technical analysis will be available soon.

Metric petastorm tensorflow_template_application bert_score byol-pytorch
Stars 1.9k 1.9k1.9k1.9k
Forks 286 708238250
Weekly Growth +0 +0+0+0
Language Python PythonJupyter NotebookPython
Sources 1 111
License Apache-2.0 Apache-2.0MITMIT

Capability Radar vs tensorflow_template_application

petastorm
tensorflow_template_application
Maintenance Activity 49

Last code push 96 days ago.

Community Engagement 76

Fork-to-star ratio: 15.2%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.