Factual package intelligence from PyPI

gllm-datastore-binary 0.5.94 package intelligence

A library containing data store components for Gen AI applications.

pip install gllm-datastore-binary

Current version
0.5.94
Python requirement
<3.13,>=3.11
License
Not declared
Distribution type
Includes compiled wheel
Release files
6 (6 wheels, 0 source)
Download size
21.6 MiB
Release history
55 releases with files
Median release cadence
2 days

gllm-datastore-binary dependencies

PyPI declares 40 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. gllm-core-binary <0.5.0,>=0.3.36
  2. gllm-inference-binary <0.7.0,>=0.5.0
  3. cryptography <49.0.0,>=48.0.1
  4. nebula3-python <4.0.0,>=3.8.3
  5. neo4j <6.0.0,>=5.28.1
  6. nest-asyncio ==1.6.0
  7. pandas <3.0.0,>=2.2.3
  8. pysqlite3-binary <0.6.0,>=0.5.4 when sys_platform == "linux"
  9. sqlalchemy <3.0.0,>=2.0.37
  10. python-levenshtein <0.27.0,>=0.26.1
  11. urllib3 <3.0.0,>=2.6.0
  12. langchain-core <2.0.0,>=1.0.0

The compact report shows 12 of 40 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

gllm-datastore-binary publishes 6 wheels and 0 source archives for version 0.5.94. Wheel platform tags: macosx_13_0_arm64, manylinux_2_31_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Security snapshot for gllm-datastore-binary 0.5.94

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 55 releases with files. The first dated release is ; 55 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

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