semvec/pypi-packages huggingface dataset:
mlserver-alibi-detect 1.6.2rc1
Alibi-Detect runtime for MLServer
License: Apache-2.0
Requires Python: <3.12,>=3.9

# Alibi-Detect runtime for MLServer

This package provides a MLServer runtime compatible with
[alibi-detect](https://docs.seldon.io/projects/alibi-detect/en/latest/index.html)
models.

## Usage

You can install the `mlserver-alibi-detect` runtime, alongside `mlserver`, as:

```bash
pip install mlserver mlserver-alibi-detect
```

For further information on how to use MLServer with Alibi-Detect, you can check
out this [worked out example](../../docs/examples/alibi-detect/README.md).

## Content Types

If no [content type](../../docs/user-guide/content-type) is present on the
request or metadata, the Alibi-Detect runtime will try to decode the payload
as a [NumPy Array](../../docs/user-guide/content-type).
To avoid this, either send a different content type explicitly, or define the
correct one as part of your [model's
metadata](../../docs/reference/model-settings).

## Settings

The Alibi Detect runtime exposes a couple setting flags which can be used to
customise how the runtime behaves.
These settings can be added under the `parameters.extra` section of your
`model-settings.json` file, e.g.

```{code-block} json
---
emphasize-lines: 6-8
---
{
  "name": "drift-detector",
  "implementation": "mlserver_alibi_detect.AlibiDetectRuntime",
  "parameters": {
    "uri": "./alibi-detect-artifact/",
    "extra": {
      "batch_size": 5
    }
  }
}
```

### Reference

You can find the full reference of the accepted extra settings for the Alibi
Detect runtime below:

```{eval-rst}

.. autopydantic_settings:: mlserver_alibi_detect.runtime.AlibiDetectSettings
```
oviond-tap-stripe 0.0.4
Singer tap for Stripe, built with the Meltano Singer SDK.
License: Apache-2.0
Requires Python: >=3.9
Keywords: ELT, Stripe

# tap-stripe

`tap-stripe` is a Singer tap for Stripe.

Built with the [Meltano Tap SDK](https://sdk.meltano.com) for Singer Taps.

<!--

Developer TODO: Update the below as needed to correctly describe the install procedure. For instance, if you do not have a PyPi repo, or if you want users to directly install from your git repo, you can modify this step as appropriate.

## Installation

Install from PyPi:

```bash
pipx install tap-stripe
```

Install from GitHub:

```bash
pipx install git+https://github.com/ORG_NAME/tap-stripe.git@main
```

-->

## Configuration

### Accepted Config Options

<!--
Developer TODO: Provide a list of config options accepted by the tap.

This section can be created by copy-pasting the CLI output from:

```
tap-stripe --about --format=markdown
```
-->

A full list of supported settings and capabilities for this
tap is available by running:

```bash
tap-stripe --about
```

### Configure using environment variables

This Singer tap will automatically import any environment variables within the working directory's
`.env` if the `--config=ENV` is provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the `.env` file.

### Source Authentication and Authorization

<!--
Developer TODO: If your tap requires special access on the source system, or any special authentication requirements, provide those here.
-->

## Usage

You can easily run `tap-stripe` by itself or in a pipeline using [Meltano](https://meltano.com/).

### Executing the Tap Directly

```bash
tap-stripe --version
tap-stripe --help
tap-stripe --config CONFIG --discover > ./catalog.json
```

## Developer Resources

Follow these instructions to contribute to this project.

### Initialize your Development Environment

```bash
pipx install poetry
poetry install
```

### Create and Run Tests

Create tests within the `tests` subfolder and
  then run:

```bash
poetry run pytest
```

You can also test the `tap-stripe` CLI interface directly using `poetry run`:

```bash
poetry run tap-stripe --help
```

### Testing with [Meltano](https://www.meltano.com)

_**Note:** This tap will work in any Singer environment and does not require Meltano.
Examples here are for convenience and to streamline end-to-end orchestration scenarios._

<!--
Developer TODO:
Your project comes with a custom `meltano.yml` project file already created. Open the `meltano.yml` and follow any "TODO" items listed in
the file.
-->

Next, install Meltano (if you haven't already) and any needed plugins:

```bash
# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-stripe
meltano install
```

Now you can test and orchestrate using Meltano:

```bash
# Test invocation:
meltano invoke tap-stripe --version
# OR run a test `elt` pipeline:
meltano run tap-stripe target-jsonl
```

### SDK Dev Guide

See the [dev guide](https://sdk.meltano.com/en/latest/dev_guide.html) for more instructions on how to use the SDK to
develop your own taps and targets.