https://github.com/deepset-ai/canals
A component orchestration engine
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.6%) to scientific vocabulary
Keywords
Repository
A component orchestration engine
Basic Info
- Host: GitHub
- Owner: deepset-ai
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://deepset-ai.github.io/canals/
- Size: 1.71 MB
Statistics
- Stars: 28
- Watchers: 3
- Forks: 3
- Open Issues: 0
- Releases: 18
Topics
Metadata Files
README.md
⚠️ The project was merged into Haystack, namely into the
corepackage.
Canals
Canals is a component orchestration engine. Components are Python objects that can execute a task, like reading a file, performing calculations, or making API calls. Canals connects these objects together: it builds a graph of components and takes care of managing their execution order, making sure that each object receives the input it expects from the other components of the pipeline.
Canals powers version 2.0 of the Haystack framework.
Installation
To install Canals, run:
console
pip install canals
To be able to draw pipelines (Pipeline.draw() method), please make sure you have either an internet connection (to reach the Mermaid graph renderer at https://mermaid.ink) or graphviz (version 2.49.0) installed. If you
plan to use Mermaid there is no additional steps to take, while for graphviz
you need to do:
GraphViz
console
sudo apt install graphviz # You may need `graphviz-dev` too
pip install pygraphviz
Owner
- Name: deepset
- Login: deepset-ai
- Kind: organization
- Email: hello@deepset.ai
- Location: Berlin, Germany
- Website: https://deepset.ai
- Twitter: deepset_ai
- Repositories: 14
- Profile: https://github.com/deepset-ai
Building enterprise search systems powered by latest NLP & open-source.
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 49
- Total pull requests: 120
- Average time to close issues: about 1 month
- Average time to close pull requests: 4 days
- Total issue authors: 7
- Total pull request authors: 6
- Average comments per issue: 0.76
- Average comments per pull request: 0.34
- Merged pull requests: 96
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- ZanSara (25)
- silvanocerza (11)
- julian-risch (3)
- tholor (3)
- MichelBartels (1)
- TuanaCelik (1)
- mayankjobanputra (1)
Pull Request Authors
- ZanSara (50)
- silvanocerza (43)
- masci (15)
- vblagoje (5)
- julian-risch (2)
- MichelBartels (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 21,857 last-month
- Total docker downloads: 121
- Total dependent packages: 2
- Total dependent repositories: 14
- Total versions: 28
- Total maintainers: 1
pypi.org: canals
A component orchestration engine for Haystack
- Documentation: https://github.com/deepset-ai/canals#readme
- License: Freely Distributable,Apache Software License
-
Latest release: 0.11.0
published about 2 years ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v3 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- networkx *
- actions/cache v2 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite