Package · PyPI
koheesio
PyPI · v0.11.1 · Apache-2.0
The steps-based Koheesio framework
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
Technologies
Install
pip install koheesioAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.73
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 12
- 28 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
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
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
- v0.11.1
- 28 versions
- First published
- MAY 29, 2024
- Last release
- OCT 16, 2026
- 10d ago
- Licence
- Apache-2.0
Repository
Not in the Crest catalog
nike-inc/koheesio (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 · v0.11.1
Runtime 7
- cryptography
>=42.0.4 - jsonpickle
>2.1.0 - pydantic
>=2 - python-decouple
>=3.8 - pytz
>=2023.3 - pyyaml
>=6.0 - tomli
>=2.0.1
Related packages
- multiwoven-integrationsMultiwoven Integrations is a comprehensive Ruby gem designed to facilitate seamless connectivity between various data sources and SaaS platforms.Same primary category
- github.com/redpanda-data/connect/public/bundle/free/v4Package free imports all free, open source plugin implementations that ship with Redpanda Connect.Same primary category
- vortex-dataPython bindings for Vortex, an Apache Arrow-compatible toolkit for working with compressed array data.Same primary category
- feastPython SDK for FeastSame primary category
- io.acryl:acryl-spark-lineage_2.13Library to push data lineage from spark to datahub (Scala 2.13)Same primary category
- io.acryl:datahub-auth-apiDataHub Auth API for developers to write custom Authentication & Authorization plugins for DataHubSame primary category
Related news
No published news event mentions this package or its repository yet.