Package · PyPI

dataflows-tabulator

PyPI · v1.54.3 · MIT

Consistent interface for stream reading and writing tabular data (csv/xls/json/etc)

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Install

pip install dataflows-tabulator

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.13
DerivedRelease cadence and recency, 0 to 1
Releases per year
122
4 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v1.54.3
4 versions
First published
MAR 12, 2024
Last release
MAR 24, 2024
3y ago
Licence
MIT

Repository

Not in the Crest catalog

akariv/tabulator-py (GitHub, opens in a new tab)

The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.

Dependencies latest version · v1.54.3

Runtime 12

  • boto3>=1.9
  • chardet>=3.0
  • click>=6.0
  • ijson>=3.0.3
  • jsonlines>=1.1
  • linear-tsv>=1.0
  • openpyxl>=2.6
  • requests>=2.8
  • six>=1.9
  • sqlalchemy>=0.9.6
  • unicodecsv>=0.14
  • xlrd>=1.0

Related news

No published news event mentions this package or its repository yet.