Recsql Alternatives

RecSQL is a hack that allows one to load table-like data records into an in-memory sqlite database for quick and dirty analysis via SQL. The SQLarray class has additional SQL functions such as sqrt or histogram defined. SQL tables can always be returned as numpy record arrays so that data can be easily handled in other packages such as numpy or plotted via matplotlib. Selections produce new SQLarray objects.
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Alternatives To orbeckst/RecSQL
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
thombashi/pytablewriter 575 39 50 over 2 years ago 125 October 08, 2023 5 mit Python
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.
esheldon/fitsio 127 37 53 over 2 years ago 39 November 12, 2025 41 gpl-2.0 C
A python package for FITS input/output wrapping cfitsio
agoose77/numpy-html 36 0 0 over 4 years ago 9 November 16, 2021 0 mit Python
Render NumPy arrays as HTML tables
AGeoCoder/Million-Song-Dataset-HDF5-to-CSV 27 0 0 over 8 years ago 0 2 mit Python
Million Song Dataset HDF5 to CSV Converter
BastiaanBergman/tabel 27 0 0 over 6 years ago 10 August 15, 2019 3 mit Python
Lightweight, intuitive and fast data-tables.
alisterburt/dynamo2emClarity 8 0 0 over 6 years ago 0 0 Python
A tool for conversion between subtomogram averaging softwares Dynamo and emClarity
elliotwaite/times-table-animation 8 0 0 over 3 years ago 0 0 mit Python
A script for generating "Times Table" animations using Python, Numpy, and PyCairo.
orbeckst/RecSQL 6 0 0 almost 10 years ago 6 November 10, 2015 2 gpl-3.0 Python
RecSQL is a hack that allows one to load table-like data records into an in-memory sqlite database for quick and dirty analysis via SQL. The SQLarray class has additional SQL functions such as sqrt or histogram defined. SQL tables can always be returned as numpy record arrays so that data can be easily handled in other packages such as numpy or plotted via matplotlib. Selections produce new SQLarray objects.
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