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dataflows-tabulator-py is a library for reading and writing tabular data (csv/xls/json/etc). Features: - Supports most common tabular formats: CSV, XLS, ODS, JSON, Google Sheets, SQL, and others. See complete list below. - Loads local and remote data: Supports HTTP, FTP and S3. - Low memory usage: Only the current row is kept in memory, so you can large datasets. - Supports compressed files: Using ZIP or GZIP algorithms. - Extensible: You can add support for custom file formats and loaders (e.g. FTP).
12 lines
514 B
Text
12 lines
514 B
Text
dataflows-tabulator-py is a library for reading and writing tabular data
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(csv/xls/json/etc).
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Features:
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- Supports most common tabular formats: CSV, XLS, ODS, JSON, Google Sheets, SQL,
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and others. See complete list below.
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- Loads local and remote data: Supports HTTP, FTP and S3.
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- Low memory usage: Only the current row is kept in memory, so you can large
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datasets.
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- Supports compressed files: Using ZIP or GZIP algorithms.
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- Extensible: You can add support for custom file formats and loaders (e.g.
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FTP).
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