Factual package intelligence from PyPI

datahub_binary 1.9.27 package intelligence

A comprehensive Python library for data processing, integration, and management.

pip install datahub-binary

Current version
1.9.27
Python requirement
<3.13,>=3.10
License
Not declared
Distribution type
Includes compiled wheel
Release files
1 (1 wheels, 0 source)
Download size
1.1 MiB
Release history
174 releases with files
Median release cadence
1 days

datahub_binary dependencies

PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. SQLAlchemy >=2.0.0
  2. httpx >=0.28.0
  3. starrocks >=1.0.0
  4. polars-lts-cpu ==1.26.0 when sys_platform == "darwin"
  5. polars ==1.26.0 when sys_platform != "darwin"
  6. loguru >=0.7.3
  7. numpy >=1.0.0
  8. protobuf >=6.30.1
  9. redis >=5.2.1
  10. psycopg2-binary >=2.9.10
  11. paramiko >=3.5.1
  12. toml >=0.10.0
  13. pydantic >=2.11.3
  14. lark-oapi >=1.4.22
  15. pyzmq >=26.4.0
  16. sortedcontainers >=2.4.0
  17. mypy >=1.18.1
  18. tzdata >=2025.2

The compact report shows 18 of 19 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

datahub_binary publishes 1 wheel and 0 source archives for version 1.9.27. Wheel platform tags: manylinux_2_17_x86_64.manylinux2014_x86_64.

No version-specific Python classifiers are declared.

Security snapshot for datahub_binary 1.9.27

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 174 releases with files. The first dated release is ; 74 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

2 historical releases are fully yanked in PyPI metadata.

The project does not publish external project URLs in its PyPI metadata.