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added prior art, fixes #30 as well
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README.md
35
README.md
@@ -198,6 +198,41 @@ In order to report a bug, unexpected behavior, feature requests
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or to submit a patch, please open an issue on github:
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or to submit a patch, please open an issue on github:
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https://github.com/TLINDEN/tablizer/issues.
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https://github.com/TLINDEN/tablizer/issues.
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## Prior Art
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When I started with tablizer I was not aware that other tools
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exist. Here is a non-exhausive list of the ones I find especially
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awesome:
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### [miller](https://github.com/johnkerl/miller)
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This is a really powerful tool to work with tabular data and it also
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allows other inputs as json, csv etc. You can filter, manipulate,
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create pipelines, there's even a programming language builtin to do
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even more amazing things.
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### [csvq](https://github.com/mithrandie/csvq)
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Csvq allows you to query CSV and TSV data using SQL queries. How nice
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is that? Highly recommended if you have to work with a large (and
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wide) dataset and need to apply a complicated set of rules.
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### [goawk](https://github.com/benhoyt/goawk)
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Goawk is a 100% POSIX compliant AWK implementation in GO, which also
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supports CSV and TSV data as input (using `-i csv` for example). You
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can apply any kind of awk code to your tabular data, there are no
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limit to your creativity!
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### [teip](https://github.com/greymd/teip)
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I particularly like teip, it's a real gem. You can use it to drill
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"holes" into your tabular data and modify these "holes" using small
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external unix commands such as grep or sed. The possibilities are
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endless, you can even use teip to modify data inside a hole created by
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teip. Highly recommended.
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## Copyright and license
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## Copyright and license
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This software is licensed under the GNU GENERAL PUBLIC LICENSE version 3.
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This software is licensed under the GNU GENERAL PUBLIC LICENSE version 3.
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