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jazzband
tablib
Python2021–2024
jazzband / tablib

tablib

Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.

2Distinct people
2Mentions
0Explicit recommenders
4.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year2 dated mentions

Observed mentions: 2021-12-14 16:44:50 UTC to 2024-08-31 19:32:01 UTC.

012021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC101

What Hacker News says

2 sources
W3C CSVW supports per-column schema. Serialize a dict containing a value with uncertainties and/or Pint (or astropy.units) and complex values to JSON, then read it from JSON back to the same types. Handle datetimes, complex values, and categoricals "CSVW: CSV on the Web" https://github.com/jazzband/tablib/issues/305 7 Columnar metadata header rows for a CSV: column label, property URI, datatype, quantity/unit, accuracy, precision, significant figures https://wrdrd.github.io/docs/consulting/linkedreproducibilit... CSV on the Web: A Primer > 6. Advanced Use > 6.1 How do you support units of measure? https://www.w3.org/TR/tabular-data-primer/#units-of-measure You can specify units in a CSVW file with QUDT, an RDFS schema and vocabulary for Quantities, Units, Dimensions, and Types Schema.org has StructuredValue and rdfs:subPropertyOf like
Read the rest
QuantitativeValue and QuantitativeValueDistribution: https://schema.org/StructuredValue There are linked data schema for units, and there are various in-code in-RAM typed primitive and compound type serialization libraries for various programming languages; but they're not integrated, so we're unable to share data with units between apps and fall back to CSVW. There are zero-copy solutions for sharing variables between cells of e.g. a polyglot notebook with input cells written in more than one programing language without reshaping or serializing.
In Rust solves the problem of incomplete Kernel Linux API docs
There are two problems that reasonably explain the decision of only accepting public domain info: licensing and provenance. "Licensing" is hard. The "Open Specifications Promise" [1], which covers a bunch of Microsoft-designed file formats, is merely a covenant not to sue. "Provenance" is tricky. For example, much of the knowledge of the Apple iWork formats were derived by reverse-engineering the source programs and extracting protobuf definitions. Many open source projects have freely copied from each other, making detailed analysis tricky [2]. [1] https://en.wikipedia.org/wiki/Microsoft_Open_Specification_P... [2] https://github.com/jazzband/tablib/issues/114
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