semvec/pypi-packages huggingface dataset:
nctoolkit 1.2.6
A Python package for netCDF analysis and post-processing
Requires Python: >=3.6.1



**nctoolkit** is a comprehensive Python (3.8 and above) package for analyzing netCDF data on Linux and macOS.

Core abilities of nctoolkit include:

  - Clipping to spatial region
  - Calculating climatologies
  - Subsetting to specific time periods
  - Calculating spatial statistics
  - Creating new variables using arithmetic operations
  - Calculating anomalies
  - Calculating rolling and cumulative statistics
  - Horizontally and vertically remapping data
  - Calculating time averages
  - Interactive plotting of data
  - Calculating the correlations between variables
  - Calculating vertical statistics for the likes of oceanic data
  - Calculating ensemble statistics

Operation of the package requires the installation of Climate Data Operators (CDO). This is the computational backend for most of the methods used. No knowledge of CDO is required to use nctoolkit. A couple of methods provide users with the option of using netCDF Operators (NCO) as a backend. Guidance for how to install the backends are available `here <https://nctoolkit.readthedocs.io/en/stable/installing.html>`__.

The package is designed for both intensive bulk processing of NetCDF files and interactive Jupyter notebook analysis. It features an interactive plotting feature which allows users to view the contents of NetCDF files either within Jupyter notebooks or a web browser.

Plotting requires the use of cartopy, which has some additional system dependencies. Follow the instructions `here <https://scitools.org.uk/cartopy/docs/latest/installing.html>`__ to install them.

Documentation and a user guide are available `here <https://nctoolkit.readthedocs.io/en/stable>`__.
ids-peak-icv 1.1.0.6615
ids_peak_icv - A library for image computer vision
Requires Python: >=3.10

![PyPI Downloads](https://img.shields.io/pypi/dm/ids-peak-icv)
        ![PyPI - Version](https://img.shields.io/pypi/v/ids-peak-icv)
        ![PyPI - License](https://img.shields.io/pypi/l/ids-peak-icv)
        ![PyPI - Types](https://img.shields.io/pypi/types/ids-peak-icv)
    

The **IDS peak ICV** library provides computer vision capabilities for industrial applications.

It is a modern image processing library designed to work with images captured by IDS cameras,
enabling the development of solutions for vision tasks.

### Resources

- **Website:** www.ids-imaging.com
- **Documentation:** https://en.ids-imaging.com/manuals/ids-peak/ids-peak-icv-documentation/en/index.html
- **Bug reports:** https://en.ids-imaging.com/support.html or
  email to [support@ids-imaging.com](mailto:support@ids-imaging.com)
- **Customer support:** https://en.ids-imaging.com/support.html

### Feedback

Feedback is very important for us, as it helps identify customer benefits, collect feature requests, and ensure
continuous improvement of our product. Send your feedback via mail
to [peak-feedback@ids-imaging.com](mailto:peak-feedback@ids-imaging.com)

### Features

- Configurable, modular image processing pipeline
  that converts raw sensor data into high-quality, ready-to-use images.
jsdataset-down-test 0.28.0
A SDK for file downloading with resumable and multi-threaded features.

# Dataset Downloader

一个支持断点续传和多线程功能的文件下载SDK。

## 功能特性

- 支持断点续传下载
- 多线程并发下载
- 进度条显示
- 自动重试机制
- 文件完整性校验

## 安装

### 从PyPI安装（推荐）

```bash
pip install dataset-down
```

### 开发模式安装

```bash
# 克隆仓库
git clone https://github.com/your-repo/dataset-down.git
cd dataset-down
# 构建分发包
python setup.py sdist bdist_wheel

# 安装构建好的包
pip install dist/dataset_down-0.1.0-py3-none-any.whl
# 以开发模式安装（代码修改即时生效）
pip install -e .
```

## 卸载与更新

```bash
# 卸载
pip uninstall dataset-down

# 更新到最新版本
pip install --upgrade dataset-down

# 更新到指定版本
pip install dataset-down==0.1.0
```

## 依赖包

本项目依赖以下Python包：

- `requests` - HTTP库，用于文件下载
- `tqdm` - 进度条显示
- `click` - 命令行界面构建
- `psutil` - 系统资源监控
- `pytz` - 时区处理

### 安装依赖

```bash
pip install requests tqdm click psutil pytz
```

## 认证配置

在使用SDK功能前，需要先进行认证：

```bash
dataset-down login --ak YOUR_ACCESS_KEY --sk YOUR_SECRET_KEY
```

## 支持的命令

### 登录

```bash
dataset-down login [OPTIONS]
```

**参数说明**：

| 参数 | 是否必需 | 描述 |
|------|----------|------|
| `--ak` | 是 | Access Key |
| `--sk` | 是 | Secret Key |

**示例**：

```bash
dataset-down login --ak YOUR_ACCESS_KEY --sk YOUR_SECRET_KEY
```

### 下载文件或文件夹

```bash
dataset-down download [OPTIONS]
```

**参数说明**：

| 参数 | 是否必需 | 默认值 | 描述 |
|------|----------|--------|------|
| `--dataset-id` | 是 | 无 | 数据集 ID |
| `--version` | 否 | `master` | 版本号 |
| `--source-path` | 是 | 无 | 源文件路径，如果是目录则下载整个目录 |
| `--target-path` | 否 | `.` (当前目录) | 目标保存路径 |

**示例**：

```bash
# 下载指定数据集的文件
dataset-down download --dataset-id my_dataset --source-path /path/to/file.txt --target-path /path/to/save --version master

# 下载整个目录到指定位置
dataset-down download --dataset-id my_dataset --source-path /data/dir --target-path ./local_dir --version master
```

### 停止正在运行的下载进程

```bash
dataset-down stop_running_downloading_process
```

### 断点续传

- 如果下载中断，只需重新执行相同的命令，程序会自动从断点处继续下载。
ids-peak-common 1.1.0.2757
ids_peak_common - Common foundational types and utilities
Requires Python: >=3.10



The **IDS peak common** library provides fundamental types, utilities, and interfaces shared across multiple products and modules.

It serves as a common foundation within the IDS software ecosystem, offering essential building blocks
that enable consistent API design and interoperability across higher-level libraries.



### Resources

- **Website:** www.ids-imaging.com
- **Documentation:** https://en.ids-imaging.com/manuals/ids-peak/ids-peak-icv-documentation/en/index.html
- **Bug reports:** https://en.ids-imaging.com/support.html or
  email to [support@ids-imaging.com](mailto:support@ids-imaging.com)
- **Customer support:** https://en.ids-imaging.com/support.html

### Feedback

Feedback is very important for us, as it helps identify customer benefits, collect feature requests, and ensure
continuous improvement of our product. Send your feedback via mail
to [peak-feedback@ids-imaging.com](mailto:peak-feedback@ids-imaging.com)

### Features

* Fundamental type definitions and aliases
* Core enums and flags shared across libraries
* Abstract interfaces and base classes
* Lightweight, dependency-free utility helpers
* Consistent API building blocks for modular software design
jsdataset-down 0.28.0
A SDK for file downloading with resumable and multi-threaded features.

# Dataset Downloader

一个支持断点续传和多线程功能的文件下载SDK。

## 功能特性

- 支持断点续传下载
- 多线程并发下载
- 进度条显示
- 自动重试机制
- 文件完整性校验

## 安装

### 从PyPI安装（推荐）

```bash
pip install dataset-down
```

### 开发模式安装

```bash
# 克隆仓库
git clone https://github.com/your-repo/dataset-down.git
cd dataset-down
# 构建分发包
python setup.py sdist bdist_wheel

# 安装构建好的包
pip install dist/dataset_down-0.1.0-py3-none-any.whl
# 以开发模式安装（代码修改即时生效）
pip install -e .
```

## 卸载与更新

```bash
# 卸载
pip uninstall dataset-down

# 更新到最新版本
pip install --upgrade dataset-down

# 更新到指定版本
pip install dataset-down==0.1.0
```

## 依赖包

本项目依赖以下Python包：

- `requests` - HTTP库，用于文件下载
- `tqdm` - 进度条显示
- `click` - 命令行界面构建
- `psutil` - 系统资源监控
- `pytz` - 时区处理

### 安装依赖

```bash
pip install requests tqdm click psutil pytz
```

## 认证配置

在使用SDK功能前，需要先进行认证：

```bash
dataset-down login --ak YOUR_ACCESS_KEY --sk YOUR_SECRET_KEY
```

## 支持的命令

### 登录

```bash
dataset-down login [OPTIONS]
```

**参数说明**：

| 参数 | 是否必需 | 描述 |
|------|----------|------|
| `--ak` | 是 | Access Key |
| `--sk` | 是 | Secret Key |

**示例**：

```bash
dataset-down login --ak YOUR_ACCESS_KEY --sk YOUR_SECRET_KEY
```

### 下载文件或文件夹

```bash
dataset-down download [OPTIONS]
```

**参数说明**：

| 参数 | 是否必需 | 默认值 | 描述 |
|------|----------|--------|------|
| `--dataset-id` | 是 | 无 | 数据集 ID |
| `--version` | 否 | `master` | 版本号 |
| `--source-path` | 是 | 无 | 源文件路径，如果是目录则下载整个目录 |
| `--target-path` | 否 | `.` (当前目录) | 目标保存路径 |

**示例**：

```bash
# 下载指定数据集的文件
dataset-down download --dataset-id my_dataset --source-path /path/to/file.txt --target-path /path/to/save --version master

# 下载整个目录到指定位置
dataset-down download --dataset-id my_dataset --source-path /data/dir --target-path ./local_dir --version master
```

### 停止正在运行的下载进程

```bash
dataset-down stop_running_downloading_process
```

### 断点续传

- 如果下载中断，只需重新执行相同的命令，程序会自动从断点处继续下载。