semvec/pypi-packages huggingface dataset:
tesseral-flask 0.0.7
Tesseral SDK for Flask
Requires Python: >=3.9

# Tesseral Flask SDK

[![pypi](https://img.shields.io/pypi/v/tesseral-flask)](https://pypi.python.org/pypi/tesseral-flask)

`tesseral_flask` is the official Tesseral SDK for Flask.

Documentation for this package is available [here](https://tesseral.com/docs/sdks/serverside-sdks/tesseral-sdk-flask).
encor 1.1.5
Estimate the autocorrelation time of a time series quickly.

ACOR
====
This is an updated, maintained fork of the `original acor <https://pypi.org/project/acor/>`_ package. Below is the original README with the appropriate changes to the name and source locations.

This is a direct port of a C++ routine by
`Jonathan Goodman <http://www.math.nyu.edu/faculty/goodman/index.html>`_ (NYU)
called `ACOR <http://www.math.nyu.edu/faculty/goodman/software/acor/>`_ that
estimates the autocorrelation time of time series data very quickly.

`Dan Foreman-Mackey <http://danfm.ca>`_ (NYU) made a few surface changes to
the interface in order to write a Python wrapper (with the permission of the
original author).

Installation
------------

Just run ::

    pip install encor

with ``sudo`` if you really need it.

Otherwise, download the source code
`as a tarball <https://github.com/dfm/acor/tarball/master>`_
or clone the git repository from `GitHub <https://github.com/dfm/acor>`_: ::

    git clone https://github.com/davecwright3/acor.git

Then run ::

    cd acor
    python -m pip install .

to compile and install the module ``acor`` in your Python path. The only
dependency is `NumPy <http://numpy.scipy.org/>`_ (including the
``python-dev`` and ``python-numpy-dev`` packages which you might have to
install separately on some systems).

Usage
-----

Given some time series ``x``, you can estimate the autocorrelation time
(``tau``) using: ::

    import acor
    tau, mean, sigma = acor.acor(x)

References
----------

* http://www.math.nyu.edu/faculty/goodman/software/acor/index.html
* http://www.stat.unc.edu/faculty/cji/Sokal.pdf
textual-mqtt 0.0.2
A Textual wrapper for Paho MQTT library
Requires Python: >=3.8.1

# Textual-MQTT, a Textual wrapper over Paho MQTT

[![PyPI - Version](https://img.shields.io/pypi/v/textual-mqtt.svg)](https://pypi.org/project/textual-mqtt)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/textual-mqtt.svg)](https://pypi.org/project/textual-mqtt)

-----

Textual is a TUI Python framework using asyncio for interface processing. Paho MQTT uses it's own threads, making some operations (callbacks, specially) not completely straight-forward. This library implements Textual widgets to integrate Paho MQTT into the built-in messaging system.

## Installation

```console
pip install textual-mqtt
```

## License

`textual-mqtt` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
pyfernet 0.0.1
fernet example package
Requires Python: >=3.7

# FastA2A

[![CI](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml/badge.svg?event=push)](https://github.com/pydantic/pydantic-ai/actions/workflows/ci.yml?query=branch%3Amain)
[![Coverage](https://coverage-badge.samuelcolvin.workers.dev/pydantic/pydantic-ai.svg)](https://coverage-badge.samuelcolvin.workers.dev/redirect/pydantic/pydantic-ai)
[![PyPI](https://img.shields.io/pypi/v/fasta2a.svg)](https://pypi.python.org/pypi/fasta2a)
[![python versions](https://img.shields.io/pypi/pyversions/fasta2a.svg)](https://github.com/pydantic/pydantic-ai)
[![license](https://img.shields.io/github/license/pydantic/pydantic-ai.svg)](https://github.com/pydantic/pydantic-ai/blob/main/LICENSE)

To make it easier to implement A2A servers, we've implemented FastA2A,
a library built on top of Starlette and Pydantic to bring A2A to Python.

See [the docs](https://ai.pydantic.dev/a2a/) for more information.