rules
rules
| rules | rules | |
|---|---|---|
| 1 | 3 | |
| 44 | 1,119 | |
| - | - | |
| - | 0.0 | |
| over 3 years ago | 3 months ago | |
| Ruby | JavaScript | |
| MIT License | MIT License |
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rules
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Forgoing Implicity and Using Abstractions: Clips
Is it possible: yes.
Can you write your own home-grown rules engine in Ruby: yes.
Can you use off-the-shelf gems: yes. Here's a few I poked around in my previous explorations into Ruby Rules Engines:
* durable rules - https://github.com/jruizgit/rules?tab=readme-ov-file#ruby
* wongi - https://github.com/ulfurinn/wongi-engine
* rules - https://github.com/azach/rules
* ruleby - https://github.com/Ruleby/ruleby
- bonus: video of original ruleby author explaining rules engines: https://www.youtube.com/watch?v=qMh2RDL6aBM
rules
-
Forgoing Implicity and Using Abstractions: Clips
Is it possible: yes.
Can you write your own home-grown rules engine in Ruby: yes.
Can you use off-the-shelf gems: yes. Here's a few I poked around in my previous explorations into Ruby Rules Engines:
* durable rules - https://github.com/jruizgit/rules?tab=readme-ov-file#ruby
* wongi - https://github.com/ulfurinn/wongi-engine
* rules - https://github.com/azach/rules
* ruleby - https://github.com/Ruleby/ruleby
- bonus: video of original ruleby author explaining rules engines: https://www.youtube.com/watch?v=qMh2RDL6aBM -
SpaCy v3.0 Released (Python Natural Language Processing)
Currently https://github.com/nilp0inter/experta but https://github.com/noxdafox/clipspy seems nice, I just shied away from using it due to uneasiness about FFI and debugging, even though the original CLIPS is still awesome and has a very interesting manual.
There's also https://github.com/jruizgit/rules but haven't tried it yet.
What are some alternatives?
json-rules-engine - A rules engine expressed in JSON
duckling - Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.
Kornia - Geometric Computer Vision Library for Spatial AI
projects - 🪐 End-to-end NLP workflows from prototype to production
laserembeddings - LASER multilingual sentence embeddings as a pip package
syntaxdot - Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.
BLINK - Entity Linker solution
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python