semvec/pypi-packages huggingface dataset:
gitvis 0.1.1
A CLI made with Python to visualize your Git commits
License: MIT


# GitVis

GitVis is a tool that allows you to visualize your local commits for the last 6 months from a given date. The visualization is done in a manner similar to GitHub and GitLab, providing a familiar and intuitive interface.

The code is fully written in Python and is inspired by [gitcs](https://github.com/knbr13/gitcs).

## Demo
![gitvis](https://github.com/aldinash/gitvis/blob/main/gitvis.gif?raw=true)

Note that colors are highly dependent on the ANSI escape sequences of your terminal.

## Installation

The CLI is distributed via PyPi. To install the package:

```sh
pip install gitvis
```

Make sure to use virtual environments for better dependency management.

## Usage

The basic usage is straightforward. Simply run:

```sh
gitvis
```

GitVis will scan for `.git` folders in your current directory and use the global email for the contributions graph.

To run the tool with custom options, use the flags as shown below:

```sh
gitvis -d /home/user/directory --email example@email.com --since 01-14-2024
```

If you don't remember the flags, just run:

```sh
gitvis --help
```

## Future Plans

The project is still in its early stages, and it would be great to develop a tool that visualizes the entire Git workflow locally in the terminal. If you are interested in contributing to such tools, feel free to DM me.

## License

MIT
DNBC4dev 2.3.9
DNBelab Series Single-Cell analysis workflow
License: MIT

[![Github Release](https://img.shields.io/github/v/release/MGI-tech-bioinformatics/DNBelab_C_Series_HT_scRNA-analysis-software)](https://github.com/MGI-tech-bioinformatics/DNBelab_C_Series_HT_scRNA-analysis-software/releases)
[![PyPI](https://img.shields.io/pypi/v/dnbc4tools)](https://pypi.org/project/DNBC4tools)
[![Docker Pulls](https://img.shields.io/docker/pulls/dnbelabc4/dnbc4tools)](https://hub.docker.com/r/dnbelabc4/dnbc4tools)

# DNBelab_C_Series_HT_singlecell-analysis-software

## Introduction

An open source and flexible pipeline to analyze high-throughput DNBelab C Series<sup>TM</sup> single-cell datasets. 

**Hardware/Software requirements** 

- x86-64 compatible processors.
- require at least 50GB of RAM and 4 CPU. 
- centos 7.x 64-bit operating system (Linux kernel 3.10.0, compatible with higher software and hardware configuration). 

## Start

- [**installation** ](./doc/installation.md)
- [**quick start** ](./doc/quickstart.md)

## Support

- Please use github issue tracker for questions. [**issues**](https://github.com/MGI-tech-bioinformatics/DNBelab_C_Series_HT_scRNA-analysis-software/issues)


> [!TIP]
>
> CHANGELOG:  2.1.3 pre-release
>
> 1. Added single-cell immune repertoire analysis.
> 2. Optimizing high memory usage when performing combined single-cell ATAC analysis
> 3. Improved single-cell RNA sequencing I/O for high-thread scenarios, reducing analysis time.
> 4. Added the function of checking whether the gtf format is correct and generating a new gtf file in the correct format.