semvec/pypi-packages huggingface dataset:
mlflow-tracking-mongostore 0.1.15
Mlflow plugin to use MongoDB as backend for MLflow tracking service
Requires Python: >=3.8
Keywords: mlflow

# mlflow-tracking-mongostore
Mlflow plugin to use MongoDB as a backend for the MLflow models registry service. To use this plugin, you need a running instance of MongoDB.

Run 'pip install mlflow-registry-mongostore' to register the plugin as an entrypoint with MongoDB backend.

# Installation
```
pip install mlflow-registry-mongostore
```

# Usage
```
mlflow server --backend-store-uri mongodb://USER:PASSWORD@MONGO_HOST:DB_NAME
```
OR
```
mlflow server --backend-store-uri mongodb+srv://USER:PASSWORD@$MONGO_HOST:DB_NAME
```
tcx-extract 0.1.2
A speed-optimized tcx data extractor.

# TCX Extractor

A speed-optimized data extractor for .tcx (Garmin) files.

## Table of Contents

- [Installation](#installation)
- [Usage](#usage)
- [Support](#support)

## Installation
Can be installed using: 

```bash
pip install tcx-extract
```

Then run this once to build the Zig executable:
```python
import tcx_extract as tcx
tcx.build_zig()
```

## Usage
```python
import tcx_extract as tcx
print(tcx.extract("example.tcx", "Time"))
```

## Support
Please [create an issue](https://github.com/alhankeser/tcx-extract/issues/new) if you're having an issue or have questions.