Revolutionary DataLad extension package
Project description
Travis tests status Build status codecov.io
This repository contains a DataLad extension that equips DataLad with new core commands that are potentially faster, or just better looking. Moreover, it enhanced the core dataset and repository abstraction classes with additional functionality that is written with enhanced cross-platform compatibility and speed in mind.
Additional commands
rev-status – like git status, but simpler and working with dataset hierarchies
rev-save – a 2-in-1 replacement for save and add
rev-create – a faster create
Additional base class functionality
GitRepo.status()
GitRepo.diff()
GitRepo.annexstatus()
Path handling in all additional functionality is using the pathlib module.
Try it?
For a demo, clone this repository and install the extension via
pip install -e .
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file datalad_revolution-0.2.1.tar.gz
.
File metadata
- Download URL: datalad_revolution-0.2.1.tar.gz
- Upload date:
- Size: 46.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.1 requests-toolbelt/0.8.0 tqdm/4.20.0 CPython/3.6.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | acde6cdccb4d507b890f47bb8068dba7d8b4f6b8f8bf64a93ad167a0cae243fe |
|
MD5 | 359f303ee1db2d8e60cc592bad13c314 |
|
BLAKE2b-256 | 61081dd099a19ec86f1c1bb8fb6a3f3b87dfcb9aaa0dc05c60cb80e8b062b0b4 |
File details
Details for the file datalad_revolution-0.2.1-py2.py3-none-any.whl
.
File metadata
- Download URL: datalad_revolution-0.2.1-py2.py3-none-any.whl
- Upload date:
- Size: 54.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/38.5.1 requests-toolbelt/0.8.0 tqdm/4.20.0 CPython/3.6.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16dd73e7e2260d1e0f9e19642f91ea383d24b1c249c4ca78f5f30e6dd5c63e6d |
|
MD5 | 03cce9c500dd3ef4a17504109eac0347 |
|
BLAKE2b-256 | 4e9f1c8fe424a0c57db5660f109ce2460ec8b027acc0886225e77231f723084e |