data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
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Updated
Oct 20, 2026 - Python
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Podium: a framework agnostic Python NLP library for data loading and preprocessing
This repository is a working ETL framework which utilizes user data from Spotify API using ➲Python for Extraction and Transformation ➲SQL for Data Loading and Staging ➲Airflow for Data Orchestration and Monitoring ➲PowerBI for Reporting
High-level API for tar-based dataset
A fast and easy-to-use Remote sensing Image format COnverter for High-throughput Deep-Learning (rico-hdl).
Very fast loader for libsvm / svmlight sparse data files in Python (Cython): SciPy sparse matrices, gzip and bz2 input, an alternative to sklearn's load_svmlight_file.
omniload is a polyglot data loader based on dlt. Copy data between any source and any destination.
DLT (www.github.com/dlt-hub/dlt) source for Morphais (www.morphais.com)
Differentiable data pipelines for JAX/Flax NNX: HuggingFace, TFDS and ArrayRecord sources, augmentation stages, scan-based epochs, exact mid-epoch resume.
DLT (www.github.com/dlt-hub/dlt) Source for Affinity (www.affinity.co)
Fast, accurate streaming of training data from cloud storage for PyTorch. Community-maintained fork of MosaicML Streaming.
An experiment sandbox for Deep Learning Data Loading analysis.
DLT (www.github.com/dlt-hub/dlt) source for Personio (www.notion.com)
ColumnCore is a high-performance analytical database system designed for beginners or small projects. It supports a rich SQL dialect, runs within the same process as the application, has a vectorized query execution engine, and uses a columnar storage format.
Library to load various vision datasets from disk
This tool rapidly converts loose files scattered within any folder into a consolidated H5 file. This allows for faster read operations with lower memory requirement.
`Spltr` is a simple PyTorch-based data loader and splitter. It may be used to load arrays and matrices or Pandas DataFrames and CSV files containing numerical data with subsequent split it into train, test (validation) subsets in the form of PyTorch DataLoader objects.
DLT (www.github.com/dlt-hub/dlt) source for Slack (www.slack.com)
Food-101 benchmark comparing PyTorch DataLoader with minimal-dataset-pytorch across worker counts, image sizes and batch sizes.
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