Package Health Score

72 / 100

security
Security review needed
popularity
Small
maintenance
Healthy
community
Sustainable

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39

Popularity

Small

GitHub Stars: 118
Forks: 29
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ocrd-validators, we found that it has been starred 118 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Mar 8, 2024
Direct Vulnerabilities: 0
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0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
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License Risk: 0
H
9
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 111
Open PR: 21
Last Release: 2 months ago
Last Commit: 10 days ago

Further analysis of the maintenance status of ocrd-validators based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that ocrd-validators demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the ocrd-validators repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: >=3.7

Age: 5 years
Latest Release: 2 months ago
Dependencies: 31 Direct / 69 Total
Versions: 167
Maintainers: 3
Wheels: OS Independent

Readme

OCR-D/core

> Python modules implementing OCR-D specs and related tools

Introduction

This repository contains the python packages that form the base for tools within the OCR-D ecosphere.

All packages are also published to PyPI.

Installation

NOTE Unless you want to contribute to OCR-D/core, we recommend installation as part of ocrd_all which installs a complete stack of OCR-D-related software.

The easiest way to install is via pip:

pip install ocrd

# or just the functionality you need, e.g.

pip install ocrd_modelfactory

All python software released by OCR-D requires Python 3.7 or higher.

NOTE Some OCR-D-Tools (or even test cases) might reveal an unintended behavior if you have specific environment modifications, like:

using a custom build of ImageMagick, whose format delegates are different from what OCR-D supposes
custom Python logging configurations in your personal account

Command line tools

NOTE: All OCR-D CLI tools support a --help flag which shows usage and supported flags, options and arguments.

`ocrd` CLI

`ocrd-dummy` CLI

A minimal OCR-D processor that copies from -I/-input-file-grp to -O/-output-file-grp

Configuration

Almost all behaviour of the OCR-D/core software is configured via CLI options and flags, which can be listed with the --help flag that all CLI support.

Some parts of the software are configured via environement variables:

OCRD_METS_CACHING: If set to true, access to the METS file is cached, speeding in-memory search and modification.
OCRD_PROFILE: This variable configures the built-in CPU and memory profiling. If empty, no profiling is done. Otherwise expected to contain any of the following tokens:
- CPU: Enable CPU profiling of processor runs
- RSS: Enable RSS memory profiling
- PSS: Enable proportionate memory profiling
OCRD_PROFILE_FILE: If set, then the CPU profile is written to this file for later peruse with a analysis tools like snakeviz
PATH: Search path for processor executables (affects ocrd process and ocrd resmgr).
HOME: Directory to look for ocrd_logging.conf, fallback for unset XDG variables (see below).
XDG_CONFIG_HOME: Directory to look for ./ocrd/resources.yml (i.e. ocrd resmgr user database) – defaults to $HOME/.config.
XDG_DATA_HOME: Directory to look for ./ocrd-resources/* (i.e. ocrd resmgr data location) – defaults to $HOME/.local/share.
OCRD_DOWNLOAD_RETRIES: Number of times to retry failed attempts for downloads of workspace files.
OCRD_DOWNLOAD_TIMEOUT: Timeout in seconds for connecting or reading (comma-separated) when downloading.
OCRD_METS_CACHING: Whether to enable in-memory storage of OcrdMets data structures for speedup during processing or workspace operations.
OCRD_MAX_PROCESSOR_CACHE: Maximum number of processor instances (for each set of parameters) to be kept in memory (including loaded models) for processing workers or processor servers.
OCRD_NETWORK_SERVER_ADDR_PROCESSING: Default address of Processing Server to connect to (for ocrd network client processing).
OCRD_NETWORK_SERVER_ADDR_WORKFLOW: Default address of Workflow Server to connect to (for ocrd network client workflow).
OCRD_NETWORK_SERVER_ADDR_WORKSPACE: Default address of Workspace Server to connect to (for ocrd network client workspace).
OCRD_NETWORK_WORKER_QUEUE_CONNECT_ATTEMPTS: Number of attempts for a worker to create its queue. Helpfull if the rabbitmq-server needs time to be fully started.

Packages

ocrd_utils

Contains utilities and constants, e.g. for logging, path normalization, coordinate calculation etc.

See README for ocrd_utils for further information.

ocrd_models

Contains file format wrappers for PAGE-XML, METS, EXIF metadata etc.

See README for ocrd_models for further information.

ocrd_modelfactory

Code to instantiate models from existing data.

See README for ocrd_modelfactory for further information.

ocrd_validators

Schemas and routines for validating BagIt, ocrd-tool.json, workspaces, METS, page, CLI parameters etc.

See README for ocrd_validators for further information.

ocrd_network

Components related to OCR-D Web API

See README for ocrd_network for further information.

ocrd

Depends on all of the above, also contains decorators and classes for creating OCR-D processors and CLIs.

Also contains the command line tool ocrd.

See README for ocrd for further information.

bash library

Builds a bash script that can be sourced by other bash scripts to create OCRD-compliant CLI.

See README for bashlib for further information.

Testing

Download assets (make assets)

Test with local files: make test

Test with remote assets:
- make test OCRD_BASEURL='https://github.com/OCR-D/assets/raw/master/data/'

FAQs

What is ocrd-validators?

OCR-D framework. Visit Snyk Advisor to see a full health score report for ocrd-validators, including popularity, security, maintenance & community analysis.

Is ocrd-validators popular?

The python package ocrd-validators receives a total of 1,786 weekly downloads. As such, ocrd-validators popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is ocrd-validators well maintained?

We found that ocrd-validators demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is ocrd-validators safe to use?

While scanning the latest version of ocrd-validators, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 April-2024, at 02:56 (UTC).

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