Kodexa is a platform for building intelligent document processing pipelines. It is a set of tools and services that allow you to build a pipeline that can take a document, extract the content, and then process it to extract the information you need.
It is built on a set of core principles:
Document Centric - Kodexa is built around the idea of a document. A document is a collection of content nodes that are connected together. This is a powerful model that allows you to build pipelines that can extract content from a wide range of sources.
Pipeline Oriented - Kodexa is built around the idea of a pipeline. A pipeline is a series of steps that can be executed on a document. This allows you to build a pipeline that can extract content from a wide range of sources.
Extensible - Kodexa is built around the idea of a pipeline. A pipeline is a series of steps that can be executed on a document. This allows you to build a pipeline that can extract content from a wide range of sources.
Label Driven - Kodexa focuses on the idea of labels. Labels are a way to identify content within a document and then use that content to drive the processing of the document.
This repository contains the command line tools for Kodexa. The tools are the primary way to interact with Kodexa. It allows you to configure components and manage aspects of your Kodexa Platform installation.
You can learn about about Kodexa at https://support.kodexa.ai
We use poetry to manage our dependencies, so you can install them with:
poetry install
You can then run the tests with:
poetry run pytest
We welcome contributions to the Kodexa platform. Please see our contributing guide for more details.
Apache 2.0
FAQs
Command Line Tools for Kodexa
We found that kodexa-cli demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.