semvec/pypi-packages huggingface dataset:
js-python-starter 2.5.3
A starter project for quickly setting up new Python apps
Requires Python: <4.0,>=3.13
Keywords: starter, template, python

# Python Starter

## Steps to set up
1. Create a new repository in GitHub using this repository as a template
2. Generate Docker Hub PAT (Personal Access Token)
3. Create an [Environment in GitHub](https://docs.github.com/en/actions/managing-workflow-runs-and-deployments/managing-deployments/managing-environments-for-deployment#creating-an-environment) with the following secrets
   - DOCKER_USERNAME (Docker Hub username)
   - DOCKER_PASSWORD (Docker Hub PAT)
4. Create a Docker Hub repository with the same name as the GitHub repository
5. Update `assignees` in `renovate.json` with your GitHub username
6. Set up code-cove and make sure it has access to this repository
   - https://docs.codecov.com/docs/quick-start
7. Setup branch protection rules
   - Set `Enrforcment Status` to `Enabled`
   - Make sure `Target branches` set to `main` or default branch
   - Ensure these `Branch rules` are selected
     - `Restrict deletions`
     - `Require status checks to pass` with these checks
       - `Lint`
       - `Test`
     - `Block force pushes`
8. Create a PyPi `Trusted Publisher`
   - https://pypi.org/manage/account/publishing/
9. Ensure the name in `pyproject.toml` matches the name of the package on PyPi
10. Make sure the following linters are installed externally of the project
    - yamllint
    - shellcheck
    - shfmt
    - node (npx/dclint)

## TODO
- [X] Handle GitHub pre-release
- [X] Update PYTHONPATH with src folder
- [X] Add custom user to Dockerfile
- [ ] Fix Dockerfile
- [ ] Fix health check
- [ ] Fix version number
flatdata-py 0.4.10
Python 3 implementation of Flatdata

# flatdata-py

[![Build Status](https://api.travis-ci.com/heremaps/flatdata.svg?branch=master)](https://travis-ci.com/heremaps/flatdata/)

Python 3 implementation of [flatdata](https://github.com/heremaps/flatdata).

## Running the tests

```sh
python3 -m pytest
```

## Basic usage

Once you have [created a flatdata schema file](../README.md#creating-a-schema), you can generate a Python module to read your existing `flatdata` archive:

```sh
flatdata-generator --gen py --schema locations.flatdata --output-file locations.py
```

## Using the inspector

`flatdata-py` comes with a handy tool called the `flatdata-inspector` to inspect the contents of an archive:

* from the `flatdata-py` source directory:

```sh
./inspector.py
# or
python3 -m flatdata.lib.inspector
```

* if you want to install `flatdata-py`:

```sh
pip3 install flatdata-py[inspector]  # the inspector feature requires IPython
flatdata-inspector -p /path/to/my/flatdata.archive
```

## Using the writer

`flatdata-writer` is an addition to `flatdata-py` that can create flatdata archives from a flatdata schema, with the following limitations:
* does not allow adding additional sub-archives to an existing archive
* supports only bulk-writing (no streaming)
* not optimized for performance

* from the `flatdata-py` source directory

```sh
./writer.py --schema archive.flatdata --output-dir testdir --json-file data.json --resource-name resourcename
#or
python3 -m flatdata.lib.writer --schema archive.flatdata --output-dir testdir --json-file data.json --resource-name resourcename
```

Note that the `flatdata-writer` CLI tool can only write one resource at a time. For archives that have multiple non-optional
resources, the tool has to be executed separately for each resource. Only after all resources have been written can the archive be opened.

* if you want to install flatdata-py:

```sh
pip3 install flatdata-py[writer]
flatdata-writer --schema archive.flatdata --output-dir testdir --json-file data.json --resource-name resourcename
```
bowtie-json-schema 2026.2.4
A meta-validator for the JSON Schema specification.
Requires Python: >=3.13
Keywords: data validation, json, json schema, jsonschema, validation

.. image:: https://github.com/bowtie-json-schema/branding/blob/main/primary-brandmark/neg-deeppink.png?raw=true
  :alt: Bowtie
  :target: https://pypi.org/project/bowtie-json-schema/

|

.. image:: https://github.com/codespaces/badge.svg
  :alt: Open in GitHub Codespace
  :target: https://codespaces.new/bowtie-json-schema/bowtie
  :height: 22px

.. image:: https://zenodo.org/badge/531839193.svg
  :alt: DOI
  :target: https://zenodo.org/badge/latestdoi/531839193

.. image:: https://img.shields.io/pypi/v/bowtie-json-schema.svg?label=version
  :alt: PyPI version
  :target: https://pypi.org/project/bowtie-json-schema/

|


Bowtie is a *meta*-validator of the `JSON Schema specification <https://json-schema.org/>`_, by which we mean it coordinates executing *other* `validator implementations <https://json-schema.org/implementations>`_, collecting and reporting on their results.

It's called Bowtie because it fans in lots of JSON then fans out lots of results: ``>·<``.
Looks like a bowtie, no?
Also because it's elegant – we hope.

For more information, see `Bowtie's documentation <https://docs.bowtie.report/>`_.


.. image:: https://img.shields.io/pypi/pyversions/bowtie-json-schema.svg
  :alt: Supported Python versions
  :target: https://pypi.org/project/bowtie-json-schema/

.. image:: https://github.com/bowtie-json-schema/bowtie/workflows/CI/badge.svg
  :alt: Build status
  :target: https://github.com/bowtie-json-schema/bowtie/actions?query=workflow%3ACI

.. image:: https://results.pre-commit.ci/badge/github/bowtie-json-schema/bowtie/main.svg
  :alt: pre-commit.ci status
  :target: https://results.pre-commit.ci/latest/github/bowtie-json-schema/bowtie/main
sqlalchemy-searchable 3.0.0
Provides fulltext search capabilities for declarative SQLAlchemy models.
Requires Python: >=3.10

SQLAlchemy-Searchable
=====================

|Version Status| |Downloads|

Fulltext searchable models for SQLAlchemy. Only supports PostgreSQL


Resources
---------

- `Documentation <https://sqlalchemy-searchable.readthedocs.io/>`_
- `Issue Tracker <http://github.com/falcony-io/sqlalchemy-searchable/issues>`_
- `Code <http://github.com/falcony-io/sqlalchemy-searchable/>`_


.. |Version Status| image:: https://img.shields.io/pypi/v/SQLAlchemy-Searchable.svg
   :target: https://pypi.python.org/pypi/SQLAlchemy-Searchable/
.. |Downloads| image:: https://img.shields.io/pypi/dm/SQLAlchemy-Searchable.svg
   :target: https://pypi.python.org/pypi/SQLAlchemy-Searchable/