FireSpark
FireSpark aims to provide Magna ML/MAS team a flexible and standardized library supporting data processing, management, dataset curation, and ETL related activities.
A dataset created using FireSpark is stored in Apache Parquet format. On top of a Parquet schema, FireSpark takes advantage of open source Petastorm library to support multidimensional arrays.
This repo is at its early phase development stage. Please contact me if you have question, especially on contributing use case specification, requirements, suggestions. 😇
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Release files for FireSpark 0.0.32
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| FireSpark-0.0.32.tar.gz | 324.2 kB | Without provenance | Details for FireSpark-0.0.32.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| FireSpark-0.0.32-py3-none-any.whl | Python 3 | none | any | Details for FireSpark-0.0.32-py3-none-any.whl |
Total release size: 859.9 kB
Release files / FireSpark-0.0.32.tar.gz
| Download URL | FireSpark-0.0.32.tar.gz |
|---|---|
| Size | 324.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / FireSpark-0.0.32-py3-none-any.whl
| Download URL | FireSpark-0.0.32-py3-none-any.whl |
|---|---|
| Size | 535.7 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.4
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Security for FireSpark 0.0.32
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