semvec/pypi-packages huggingface dataset:
more-than-inference 1.0.2.1
An Application Framework of Inference for Distribution
Requires Python: >=3.8

# More Than Inference

![Pipeline Status](https://gitlab.evensxia.com/%{project_path}/badges/%{default_branch}/pipeline.svg)

An Application Framework of Inference for Distribution


## TASK SUPPORT

| Task            | HTTP | ZeroMQ | gRPC | Crypt |
|:---------------:|:----:|:------:|:----:|:-----:|
| Classification  | ❌    | ❌      | ❌    | ❌     |
| ObjectDetection | ✅    | ✅      | ❌    | ❌     |
| Segmentation    | ❌    | ❌      | ❌    | ❌     |
| Track           | ❌    | ❌      | ❌    | ❌     |
| Text2Text       | ❌    | ❌      | ❌    | ❌     |
| Text2Image      | ✅    | ❌      | ❌    | ❌     |
| Image2Text      | ❌    | ❌      | ❌    | ❌     |
| Image2Image     | ✅    | ❌      | ❌    | ❌     |
| Text2Video      | ❌    | ❌      | ❌    | ❌     |
| Image2Video     | ❌    | ❌      | ❌    | ❌     |
| Text2Speech     | ❌    | ❌      | ❌    | ❌     |
| OCR             | ❌    | ❌      | ❌    | ❌     |
| Flow            | ❌    | ❌      | ❌    | ❌     |
vizdxp 0.2.2
Simple data visualization web app
Requires Python: >=3.6

# vizdxp

## Simple Exploratory Data Analysis web application

vizdxp is an open-source web app designed via streamlit weaved with plotly library. **Its incredibly simple - Just drag & drop any csv and explore the data visually.** By default the application will figure out better visualization based on user selections. Feel free to customize as needed.

## Keys
- **Simple** and quick for any **Exploratory Data Analysis**
- Create interactive **Dashboard web app within minutes** from any csv and share the findings
- **Deploy** it as a web application in your own workstations too
- By **Default** - chart types and aggregations are applied based on columns selected by user, null rows are removed, date fields are converted to multiple subfields
- Highly **Customizable**
- No more static reports
- Chart types included - Scatter, Bar, Pie, Heatmap, Histogram and Box plots

## Installation

pip install vizdxp

Run: python -m vizdxp

Explore vizdxp through a browser. Once installation is complete, user can work totally offline.

## Blog

Wrriten a blog on vizdxp [here](https://medium.com/analytics-vidhya/introducing-vizdxp-for-quick-exploratory-data-analysis-and-visualizations-89128326e8ac)

## License
- vizdxp is completely free, open sourced and licensed under MIT license.
- Vizdxp is developed with Streamlit as the framework. Further details on [streamlit](https://www.streamlit.io/)
- Plotly is the visualization library used. Further details on [plotly](https://plotly.com/)
DIYables-Pico-Servo 0.1.0
Servo Motor Library for with Raspberry Pi Pico, created by DIYables
Requires Python: >=3.6

## Servo Motor Library for Raspberry Pi Pico - DIYables_Pico_Servo
This MicroPython library is designed for Raspberry Pi Pico to make it easy to use with servo motor 180째. It is easy to use for not only beginners but also experienced users... 

It is created by DIYables to work with DIYables Servo Motor, but also work with products from other brands. Please consider purchasing products from [DIYables Store on Amazon](https://amazon.com/diyables) to support our works.



Features
----------------------------
* Works with any Raspberry Pi Pico board.

Product Link
----------------------------
* [Servo Motor](https://diyables.io/products/servo-motor-sg90-180-degree)
* [Sensor Kit](https://diyables.io/products/sensor-kit)



Available Functions
----------------------------
*  __init__(pin_number, min_pulse=600, max_pulse=2450, frequency=50)
* move_to_angle(angle)
* deinit()
*  __del__()



Available Examples
----------------------------
* move.py
* sweep.py



Tutorials
----------------------------
* [Raspberry Pi Pico - Servo Motor](https://newbiely.com/tutorials/raspberry-pico/raspberry-pi-pico-servo-motor)



References
----------------------------
* [Raspberry Pi Pico - Servo Library](https://newbiely.com/tutorials/raspberry-pico/raspberry-pi-pico-servo-motor-library)
theid 1.0.9
Identity Service

# theid-sdk-python


#### Identity for services of https://devnull.cn/

```ipython
>>> import theid

>>> theid.token()
'Bearer <_truncated>'

>>> theid.authorization_headers()
{'Authorization': 'Bearer <_truncated>', 'Content-Type': 'application/json'}

>>> theid.system_id()
'e64ab96324ef1899498889a0e3eabcb4'

>>> theid.email()
'no-reply-devnull@outlook.com'

>>> theid.ip_regulated()
True

>>> theid.is_private_ip('192.168.0.1')
True

>>> theid.is_private_ip('1.168.0.1')
False

>>> theid.nickname()
{'first': 'Keen', 'last': 'Archimedes', 'name': 'keen_archimedes', 'password': 'rWabA_k4a/p5', 'with_caps': 'Keen_Archimedes'}

```