Skip to main content

Data Inventory

https://github.com/iot-spectator/datainventory/actions/workflows/testing.yml/badge.svg https://github.com/iot-spectator/datainventory/actions/workflows/linting.yml/badge.svg https://codecov.io/gh/iot-spectator/datainventory/branch/main/graph/badge.svg?token=3XR09X8NYZ https://img.shields.io/badge/code%20style-black-000000.svg

Data Inventory is a database designed for managing machine learning models. It is also suitable for storing images and videos.

Requirements

Python 3.7 or newer is required.

Installation

There are a few ways to install Data Inventory.

  • Install the latest release from PyPI

pip install datainventory
  • Install from source

git clone https://github.com/iot-spectator/datainventory.git
cd datainventory
pip install .

Metadata

Release files for datainventory 0.0.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datainventory 0.0.5
File Size Uploaded Provenance
datainventory-0.0.5.tar.gz 7.7 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for datainventory 0.0.5
File Interpreter ABI Platform
datainventory-0.0.5-py3-none-any.whl Python 3 none any Details

Total release size: 16.6 kB

Release files / datainventory-0.0.5.tar.gz

Download URL datainventory-0.0.5.tar.gz
Size 7.7 kB
Tags Source
SHA-256 checksum
How to use checksums
9120df93963eda59b5298071fb872ab9f7d507b8317bb9f0cf5f7c6682337ac1
BLAKE2b-256 checksum
How to use checksums
c16409c7b8429bf9bb4a87a8e599883d6a7d7465daa2c6a996612e0cee1d3776
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Release files / datainventory-0.0.5-py3-none-any.whl

Download URL datainventory-0.0.5-py3-none-any.whl
Size 8.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7fe601a0621fc322802467c18815df98fab18b179501b9056bb5d92bad22a19d
BLAKE2b-256 checksum
How to use checksums
12438b85eb6d37e7400dea786f0d174b0b9acaaa8cfaab3b6f51381f8623c631
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Security for datainventory 0.0.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page