orca · PyPI

A pipeline orchestration tool with Pandas support

These details have not been verified by PyPI

Project links

Homepage

Project description

Orca is a pipeline orchestration tool that allows you to define dynamic data sources and explicitly connect them to processing functions. Orca has many features for working with Pandas data structures, but it can be used with anything.

Learn more in the official docs at https://udst.github.io/orca/.

Building the Orca UI JS Bundle

Orca ships with a bundle of JavaScript for the server UI. If you’ve installed Orca from pip or conda you already have the bundle, but if you’re working on Orca you might need to build it manually:

Make sure nodejs is installed. (I use Homebrew on my Mac.)
Install gulp: npm install -g gulp
Change directories to orca/server/static
Run npm install to install dependencies
Build the bundle: gulp js-build, or
Watch JS files to rebuild the bundle on changes: gulp js-watch

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

1.8

Oct 11, 2022

1.7

Aug 23, 2022

1.6

Mar 30, 2021

1.5.4

Nov 5, 2020

This version

1.5.3

Oct 23, 2019

1.5.1

Jul 30, 2018

1.4.0

Apr 19, 2017

1.3.0

Oct 30, 2015

1.2.0

Jul 17, 2015

1.1.0

Apr 15, 2015

1.0.0

Apr 14, 2015

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

orca-1.5.3.tar.gz (239.6 kB view details)

Uploaded Oct 23, 2019 Source

Built Distribution

orca-1.5.3-py2.py3-none-any.whl (244.8 kB view details)

Uploaded Oct 23, 2019 Python 2 Python 3

File details

Details for the file orca-1.5.3.tar.gz.

File metadata

Download URL: orca-1.5.3.tar.gz
Upload date: Oct 23, 2019
Size: 239.6 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for orca-1.5.3.tar.gz
Algorithm	Hash digest
SHA256	`ed1d7d12bff3e7120c5252374833150e58b840eb0c51d875e69cd95df6811e86`
MD5	`d3a23cc8d13aa8893b004b25ba744c0f`
BLAKE2b-256	`909a62e27057baee95ed59a6374fed235bb4aa1c1e06aa9828f233371a38b21b`

See more details on using hashes here.

File details

Details for the file orca-1.5.3-py2.py3-none-any.whl.

File metadata

Download URL: orca-1.5.3-py2.py3-none-any.whl
Upload date: Oct 23, 2019
Size: 244.8 kB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.7

File hashes

Hashes for orca-1.5.3-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`58cef1adcb453eb553ab8a037dabe314e51341b8e9624f2c1cb8e3631d51002e`
MD5	`339a492dfc95cb9de4bb08911f0bf987`
BLAKE2b-256	`22c559c498bda25d3c81154a4a2410f22d31372c702faa431e5f820f2ac1b042`