semvec/pypi-packages huggingface dataset:
pyprocessors-afp_keywords 0.5.79
Processor based on Huggingface transformers zero-shot classification pipeline
Requires Python: >=3.8

# pyprocessors_afp_keywords

[![license](https://img.shields.io/github/license/oterrier/pyprocessors_afp_keywords)](https://github.com/oterrier/pyprocessors_afp_keywords/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyprocessors_afp_keywords/workflows/tests/badge.svg)](https://github.com/oterrier/pyprocessors_afp_keywords/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyprocessors_afp_keywords)](https://codecov.io/gh/oterrier/pyprocessors_afp_keywords)
[![docs](https://img.shields.io/readthedocs/pyprocessors_afp_keywords)](https://pyprocessors_afp_keywords.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyprocessors_afp_keywords)](https://pypi.org/project/pyprocessors_afp_keywords/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyprocessors_afp_keywords)](https://pypi.org/project/pyprocessors_afp_keywords/)

Processor based on Facebook's afp_keywords

## Installation

You can simply `pip install pyprocessors_afp_keywords`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyprocessors_afp_keywords
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyconverters-whisperx 0.5.34
WhisperX converter.
Requires Python: >=3.8

# pyconverters_whisperx

[![license](https://img.shields.io/github/license/oterrier/pyconverters_whisperx)](https://github.com/oterrier/pyconverters_whisperx/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyconverters_whisperx/workflows/tests/badge.svg)](https://github.com/oterrier/pyconverters_whisperx/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyconverters_whisperx)](https://codecov.io/gh/oterrier/pyconverters_whisperx)
[![docs](https://img.shields.io/readthedocs/pyconverters_whisperx)](https://pyconverters_whisperx.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyconverters_whisperx)](https://pypi.org/project/pyconverters_whisperx/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyconverters_whisperx)](https://pypi.org/project/pyconverters_whisperx/)

My new converter

## Installation

You can simply `pip install pyconverters_whisperx`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyconverters_whisperx
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyannotators-patterns 0.5.123
Annotator based on Presidio pattern recognizer
Requires Python: >=3.8

# pyannotators_patterns

[![license](https://img.shields.io/github/license/oterrier/pyannotators_patterns)](https://github.com/oterrier/pyannotators_patterns/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyannotators_patterns/workflows/tests/badge.svg)](https://github.com/oterrier/pyannotators_patterns/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyannotators_patterns)](https://codecov.io/gh/oterrier/pyannotators_patterns)
[![docs](https://img.shields.io/readthedocs/pyannotators_patterns)](https://pyannotators_patterns.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyannotators_patterns)](https://pypi.org/project/pyannotators_patterns/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyannotators_patterns)](https://pypi.org/project/pyannotators_patterns/)

Annotator based on Facebook's Patterns

## Installation

You can simply `pip install pyannotators_patterns`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyannotators_patterns
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyprocessors-xcago_reconciliation 0.5.46
Sherpa xcago_reconciliation processor
Requires Python: >=3.8

# pyprocessors_xcago_reconciliation

[![license](https://img.shields.io/github/license/oterrier/pyprocessors_xcago_reconciliation)](https://github.com/oterrier/pyprocessors_xcago_reconciliation/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyprocessors_xcago_reconciliation/workflows/tests/badge.svg)](https://github.com/oterrier/pyprocessors_xcago_reconciliation/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyprocessors_xcago_reconciliation)](https://codecov.io/gh/oterrier/pyprocessors_xcago_reconciliation)
[![docs](https://img.shields.io/readthedocs/pyprocessors_xcago_reconciliation)](https://pyprocessors_xcago_reconciliation.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyprocessors_xcago_reconciliation)](https://pypi.org/project/pyprocessors_xcago_reconciliation/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyprocessors_xcago_reconciliation)](https://pypi.org/project/pyprocessors_xcago_reconciliation/)

XCagoReconciliation annotations coming from different annotators

## Installation

You can simply `pip install pyprocessors_xcago_reconciliation`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyprocessors_xcago_reconciliation
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyprocessors-segment_renseignor 0.5.34
Sherpa Consolidation processor
Requires Python: >=3.8

# pyprocessors_segment_renseignor

[![license](https://img.shields.io/github/license/oterrier/pyprocessors_segment_renseignor)](https://github.com/oterrier/pyprocessors_segment_renseignor/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyprocessors_segment_renseignor/workflows/tests/badge.svg)](https://github.com/oterrier/pyprocessors_segment_renseignor/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyprocessors_segment_renseignor)](https://codecov.io/gh/oterrier/pyprocessors_segment_renseignor)
[![docs](https://img.shields.io/readthedocs/pyprocessors_segment_renseignor)](https://pyprocessors_segment_renseignor.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyprocessors_segment_renseignor)](https://pypi.org/project/pyprocessors_segment_renseignor/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyprocessors_segment_renseignor)](https://pypi.org/project/pyprocessors_segment_renseignor/)

Create segments from annotations

## Installation

You can simply `pip install pyprocessors_segment_renseignor`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyprocessors_segment_renseignor
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyformatters-bel_table 0.5.91
Sherpa BELTable formatter
Requires Python: >=3.8

## Requirements

- Python 3.8+
- Flit to put Python packages and modules on PyPI
- Pydantic for the data parts.

## Installation
```
pip install flit
pip install pyconverters-plugins
```

## Publish the Python Package to PyPI
- Increment the version of your package in the `__init__.py` file:
```
"""An amazing package!"""

__version__ = 'x.y.z'
```
- Publish
```
flit publish
```
pyformatters-tabular 0.5.195
Sherpa Tabular formatter
Requires Python: >=3.8

## Requirements

- Python 3.8+
- Flit to put Python packages and modules on PyPI
- Pydantic for the data parts.

## Installation
```
pip install flit
pip install pyconverters-plugins
```

## Publish the Python Package to PyPI
- Increment the version of your package in the `__init__.py` file:
```
"""An amazing package!"""

__version__ = 'x.y.z'
```
- Publish
```
flit publish
```
pyconverters-xcago 0.5.39
X-CAGO converter.
Requires Python: >=3.8

# pyconverters_xcago

[![license](https://img.shields.io/github/license/oterrier/pyconverters_xcago)](https://github.com/oterrier/pyconverters_xcago/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyconverters_xcago/workflows/tests/badge.svg)](https://github.com/oterrier/pyconverters_xcago/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyconverters_xcago)](https://codecov.io/gh/oterrier/pyconverters_xcago)
[![docs](https://img.shields.io/readthedocs/pyconverters_xcago)](https://pyconverters_xcago.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyconverters_xcago)](https://pypi.org/project/pyconverters_xcago/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyconverters_xcago)](https://pypi.org/project/pyconverters_xcago/)

Fetch articles from Pubmed

## Installation

You can simply `pip install pyconverters_xcago`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyconverters_xcago
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyannotators-acronyms 0.5.243
Annotator based on Spacy NER
Requires Python: >=3.8

# pyannotators_acronyms

[![license](https://img.shields.io/github/license/oterrier/pyannotators_acronyms)](https://github.com/oterrier/pyannotators_acronyms/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyannotators_acronyms/workflows/tests/badge.svg)](https://github.com/oterrier/pyannotators_acronyms/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyannotators_acronyms)](https://codecov.io/gh/oterrier/pyannotators_acronyms)
[![docs](https://img.shields.io/readthedocs/pyannotators_acronyms)](https://pyannotators_acronyms.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyannotators_acronyms)](https://pypi.org/project/pyannotators_acronyms/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyannotators_acronyms)](https://pypi.org/project/pyannotators_acronyms/)

Annotator based on Facebook's Acronyms

## Installation

You can simply `pip install pyannotators_acronyms`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyannotators_acronyms
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyprocessors-rf_consolidate 0.5.56
RF Consolidation processor
Requires Python: >=3.8

# pyprocessors_rf_consolidate

[![license](https://img.shields.io/github/license/oterrier/pyprocessors_rf_consolidate)](https://github.com/oterrier/pyprocessors_rf_consolidate/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyprocessors_rf_consolidate/workflows/tests/badge.svg)](https://github.com/oterrier/pyprocessors_rf_consolidate/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyprocessors_rf_consolidate)](https://codecov.io/gh/oterrier/pyprocessors_rf_consolidate)
[![docs](https://img.shields.io/readthedocs/pyprocessors_rf_consolidate)](https://pyprocessors_rf_consolidate.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyprocessors_rf_consolidate)](https://pypi.org/project/pyprocessors_rf_consolidate/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyprocessors_rf_consolidate)](https://pypi.org/project/pyprocessors_rf_consolidate/)

RFConsolidate annotations coming from different annotators

## Installation

You can simply `pip install pyprocessors_rf_consolidate`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyprocessors_rf_consolidate
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pysegmenters-pysdb 0.5.115
Rule-based segmenter
Requires Python: >=3.8

# pysegmenters_pysdb

[![license](https://img.shields.io/github/license/oterrier/pysegmenters_pysdb)](https://github.com/oterrier/pysegmenters_pysdb/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pysegmenters_pysdb/workflows/tests/badge.svg)](https://github.com/oterrier/pysegmenters_pysdb/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pysegmenters_pysdb)](https://codecov.io/gh/oterrier/pysegmenters_pysdb)
[![docs](https://img.shields.io/readthedocs/pysegmenters_pysdb)](https://pysegmenters_pysdb.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pysegmenters_pysdb)](https://pypi.org/project/pysegmenters_pysdb/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pysegmenters_pysdb)](https://pypi.org/project/pysegmenters_pysdb/)

Rule based segmenter based on Spacy

## Installation

You can simply `pip install pysegmenters_pysdb`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pysegmenters_pysdb
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pysegmenters-rules_segmenter 0.5.239
Rule-based segmenter
Requires Python: >=3.8

# pysegmenters_rules_segmenter

[![license](https://img.shields.io/github/license/oterrier/pysegmenters_rules_segmenter)](https://github.com/oterrier/pysegmenters_rules_segmenter/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pysegmenters_rules_segmenter/workflows/tests/badge.svg)](https://github.com/oterrier/pysegmenters_rules_segmenter/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pysegmenters_rules_segmenter)](https://codecov.io/gh/oterrier/pysegmenters_rules_segmenter)
[![docs](https://img.shields.io/readthedocs/pysegmenters_rules_segmenter)](https://pysegmenters_rules_segmenter.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pysegmenters_rules_segmenter)](https://pypi.org/project/pysegmenters_rules_segmenter/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pysegmenters_rules_segmenter)](https://pypi.org/project/pysegmenters_rules_segmenter/)

Rule based segmenter based on Spacy

## Installation

You can simply `pip install pysegmenters_rules_segmenter`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pysegmenters_rules_segmenter
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyprocessors-document_fingerprint 0.5.66
Sherpa Consolidation processor
Requires Python: >=3.8

# pyprocessors_document_fingerprint

[![license](https://img.shields.io/github/license/oterrier/pyprocessors_document_fingerprint)](https://github.com/oterrier/pyprocessors_document_fingerprint/blob/master/LICENSE)
[![tests](https://github.com/oterrier/pyprocessors_document_fingerprint/workflows/tests/badge.svg)](https://github.com/oterrier/pyprocessors_document_fingerprint/actions?query=workflow%3Atests)
[![codecov](https://img.shields.io/codecov/c/github/oterrier/pyprocessors_document_fingerprint)](https://codecov.io/gh/oterrier/pyprocessors_document_fingerprint)
[![docs](https://img.shields.io/readthedocs/pyprocessors_document_fingerprint)](https://pyprocessors_document_fingerprint.readthedocs.io)
[![version](https://img.shields.io/pypi/v/pyprocessors_document_fingerprint)](https://pypi.org/project/pyprocessors_document_fingerprint/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyprocessors_document_fingerprint)](https://pypi.org/project/pyprocessors_document_fingerprint/)

DocumentFingerprint annotations coming from different annotators

## Installation

You can simply `pip install pyprocessors_document_fingerprint`.

## Developing

### Pre-requesites

You will need to install `flit` (for building the package) and `tox` (for orchestrating testing and documentation building):

```
python3 -m pip install flit tox
```

Clone the repository:

```
git clone https://github.com/oterrier/pyprocessors_document_fingerprint
```

### Running the test suite

You can run the full test suite against all supported versions of Python (3.8) with:

```
tox
```

### Building the documentation

You can build the HTML documentation with:

```
tox -e docs
```

The built documentation is available at `docs/_build/index.html.
pyformatters-afp_quality 0.6.162
Sherpa AFP Quality formatter
Requires Python: >=3.8

## Requirements

- Python 3.8+
- Flit to put Python packages and modules on PyPI
- Pydantic for the data parts.

## Installation
```
pip install flit
pip install pymultirole-plugins
```

## Publish the Python Package to PyPI
- Increment the version of your package in the `__init__.py` file:
```
"""An amazing package!"""

__version__ = 'x.y.z'
```
- Publish
```
flit publish
```
cloud3d 0.0.1
This is a template repository for Python projects that use Poetry for their dependency management.
Requires Python: <4.0,>=3.11

# cloud3d

[![Release](https://img.shields.io/github/v/release/fpgmaas/cloud3d)](https://img.shields.io/github/v/release/fpgmaas/cloud3d)
[![Build status](https://img.shields.io/github/actions/workflow/status/fpgmaas/cloud3d/main.yml?branch=main)](https://github.com/fpgmaas/cloud3d/actions/workflows/main.yml?query=branch%3Amain)
[![codecov](https://codecov.io/gh/fpgmaas/cloud3d/branch/main/graph/badge.svg)](https://codecov.io/gh/fpgmaas/cloud3d)
[![Commit activity](https://img.shields.io/github/commit-activity/m/fpgmaas/cloud3d)](https://img.shields.io/github/commit-activity/m/fpgmaas/cloud3d)
[![License](https://img.shields.io/github/license/fpgmaas/cloud3d)](https://img.shields.io/github/license/fpgmaas/cloud3d)

This is a template repository for Python projects that use Poetry for their dependency management.

- **Github repository**: <https://github.com/fpgmaas/cloud3d/>
- **Documentation** <https://fpgmaas.github.io/cloud3d/>

## Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

```bash
git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:fpgmaas/cloud3d.git
git push -u origin main
```

Finally, install the environment and the pre-commit hooks with

```bash
make install
```

You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPI or Artifactory, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/codecov/).

## Releasing a new version

- Create an API Token on [PyPI](https://pypi.org/).
- Add the API Token to your projects secrets with the name `PYPI_TOKEN` by visiting [this page](https://github.com/fpgmaas/cloud3d/settings/secrets/actions/new).
- Create a [new release](https://github.com/fpgmaas/cloud3d/releases/new) on Github.
- Create a new tag in the form `*.*.*`.
- For more details, see [here](https://fpgmaas.github.io/cookiecutter-poetry/features/cicd/#how-to-trigger-a-release).

---

Repository initiated with [fpgmaas/cookiecutter-poetry](https://github.com/fpgmaas/cookiecutter-poetry).