semvec/pypi-packages huggingface dataset:
vizro_ai 0.1.1
Vizro-AI is a tool for generating data visualizations
Requires Python: >=3.9

# Vizro-AI

[![Python version](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue.svg)](https://pypi.org/project/vizro/)

Vizro-AI is a tool for generating visualizations.

## Disclaimer

Please review the [Disclaimer](https://vizro-ai.readthedocs.io/en/latest/pages/explanation/disclaimer/) before using `vizro-ai` package.

## Documentation

For more information, please refer to our [Documentation](https://vizro-ai.readthedocs.io/en/latest/).

## Acknowledgment

Vizro-AI is powered by [LangChain](https://github.com/langchain-ai/langchain).
funsecret-snapshot 1.2.17
funsecret-snapshot

# funsecret

## 安装

```bash
pip install funsecret
```

## 写入或者更新

```python
from funsecret import read_secret, write_secret

write_secret("your username", "wechat", "login", "username")
read_secret("wechat", "login", "username", value="your username")
```

## 读取

```python
from funsecret import read_secret

username = read_secret("wechat", "login", "username")
password = read_secret("wechat", "login", "password")
```

## 快照

快照功能需要单独安装

```bash
pip install funsecret_snapshot
```

目前只支持保存 lanzou

### 保存

```python
from funsecret_snapshot import save_snapshot

bin_id = '**'
cipher_key = '******'
security_key = "******"
save_snapshot(bin_id, cipher_key, security_key)
```

### 读取

```python
from funsecret_snapshot import load_snapshot

bin_id = '**'
cipher_key = '******'
security_key = "******"
load_snapshot(bin_id, cipher_key, security_key)
```
github-trending-repos 1.1.4
A CLI tool for retrieving trending GitHub repositories.

# GitHub Trending Repositories CLI

![LiCENSE](https://img.shields.io/badge/License-MIT-green?labelColor=blue-green&style=flat) ![Python](https://img.shields.io/badge/Python-blue?style=flat)

A command-line tool for retrieving trending GitHub repositories based on different time periods.

## Table of Contents

- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Options](#options)
- [Examples](#examples)
- [License](#license)

## Features

- Fetch trending repositories from GitHub.
- Filter repositories by programming language.
- Display repository information including name, author, link, description, language, stars, and forks.

## Installation

```bash
pip install github-trending-repos
```

## Usage

```bash
github-trending-repos daily --language python --page 1
```

- `daily`, `weekly`, or `monthly` are the available time periods.
- `--language` allows you to filter repositories by programming language.
- `--page` lets you navigate through different pages of results (0 to 4).

## Options

- **period**: Trending period (`daily`, `weekly`, or `monthly`).
- **language**: Filter repositories by programming language.
- **save**: Save data as JSON (optional).
- **page**: Page index (default: 0).

## Examples

- Retrieve daily trending Python repositories:

  ```bash
  github-trending-repos daily --language python
  ```

- Save weekly trending repositories with JavaScript language to a JSON file:

  ```bash
  github-trending-repos weekly --language javascript --save
  ```

- View the second page of monthly trending repositories:

  ```bash
  github-trending-repos monthly --page 1
  ```

## License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/kok-s0s/github_trending_repos_cli/blob/main/LICENSE) file for details.
stixdcpy 3.0
STIX data center APIs and data analysis tools
Requires Python: >=3.7


[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7180433.svg)](https://doi.org/10.5281/zenodo.7180433)

stixdcpy is a Python package designed to simplify the retrieval and analysis of STIX data. It offers convenient APIs for querying and downloading data from the STIX data center (https://datacenter.stix.i4ds.net/), as well as a collection of tools for visualizing data and conducting typical analysis tasks. stixdcpy empowers users to effortlessly retrieve and download various types of data from the STIX data center, including:

* Quick-look light curves
* Housekeeping data
* Science data
* Energy calibration data
* Auxiliary data
* STIX solar flare list
* STIX operations events
* Ephemeris data

# Installation


```sh
pip install git+https://github.com/i4ds/stixdcpy.git
```


# Tutorial and documentation

- [Tutorial](https://github.com/i4ds/stixdcpy/blob/master/examples/tutorial.ipynb)
- [Documentation](https://drhlxiao.github.io/stixdcpy/)



#  Cite this work
If you use the stixdcpy in your research and publications, we would definitely appreciate an appropriate acknowledgment and citation! We suggest the following BibTex:
* [1] STIX data center paper published on A&A: https://doi.org/10.1051/0004-6361/202346031
* [2] Hualin Xiao, Säm Krucker, Lastufka Erica, & William Setterberg. (2022). stixdcpy – a python package that facilitates access and analysis of STIX data (v2.0). Zenodo. https://doi.org/10.5281/zenodo.7180433

# Reporting Issues and Contributing
Open an issue on GitHub to report a problem. Pull requests welcome.