semvec/pypi-packages huggingface dataset:
autobigsst.engine 0.6.0
A library to rapidly fetch fetch MLST profiles given sequences for various diseases.
Requires Python: >=3.11

# autobigsst.Engine

A python library implementing common BIGSdb MLST schemes and databases. Implementation follows the RESTful API outlined by the official [BIGSdb documentation](https://bigsdb.readthedocs.io/en/latest/rest.html) up to `V1.50.0`.

## Features

Briefly, this library can:
- Import multiple `FASTA` files
- Fetch the available BIGSdb databases that is currently live and available
- Fetch the available BIGSdb database schemas for a given MLST database
- Retrieve exact/non-exact MLST allele variant IDs based off a sequence
- Retrieve MLST sequence type IDs based off a sequence
- Output all results to a single CSV

Furthermore, this library is highly asynchronous where any potentially blocking operation, ranging from parsing FASTAs to performing HTTP requests are at least asynchronous, if not fully multithreaded.

## Usage

This library can be installed through pip. Learn how to [setup and install pip first](https://pip.pypa.io/en/stable/installation/).

Then, it's as easy as running `pip install autobigsst-engine` in any terminal that has pip in it's path (any terminal where `pip --version` returns a valid version and install path).

### CLI usage

This is a independent python library and thus does not have any form of direct user interface. One way of using it could be to create your own Python script that makes calls to this libraries functions. Alternatively, you may use `autobigsst-cli`, a `Python` package that implements a CLI for calling this library.
OWNd 0.7.49
Python interface for the OpenWebNet protocol
Requires Python: >=3.8

# OWNd

This package is an event listener and command forwarder for the OpenWebNet protocol.

It is mainly intended to be used in an Home-Assistant integration.

At this point most events are understood.
WHO = 5 (Burglar Alarm) event support is limited and needs further development.
Many commands are implemented, mostly within the requirements of Home-Assistant.

## Testing OWNd

Testing OWNd is pretty simple. 
Clone this repository and then:

```
cd <OWNd checkout folder>
pip3 install .
python3 -m OWNd --help    # to visualize possible options
```

To attempt connection to the first available OpenWebNet gateway in the local area network you 
can run:

```
python3 -m OWNd
```

This will use [SSDP](https://en.wikipedia.org/wiki/Simple_Service_Discovery_Protocol) to discover
all supported gateways and pick the first one.

Alternatively, if you want to skip the SSDP discovery step, you can provide the IP address, port 
and MAC address of the gateway from command-line:

```
python3 -m OWNd --address <IP address> --port <PORT> --password <PASS> --mac <MAC address>
```

Note that all these details can be retrieved using bTICINO Home+Project Android application.
online-svr 0.1.2
Uma biblioteca para realizar previsões em SVR com aprendizado online
Requires Python: >=3.9

# Online SVR

A library for conducting experiments with time series using **SVR**. It includes support for data preprocessing, lag creation, and executing tests by prediction time series bt a traditional and online paradigma.

## Key Features

- **SVR Predict**: Offline predictions using Support Vector Regression.
- **SVR Online**: Incremental learning with dynamic model updates.

## Installation

To install the library, run:

```bash
pip install online-svr