malli
clojure-graph-resources
malli | clojure-graph-resources | |
---|---|---|
33 | 6 | |
1,416 | 252 | |
0.6% | - | |
9.3 | 1.8 | |
10 days ago | almost 2 years ago | |
Clojure | ||
Eclipse Public License 2.0 | MIT License |
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malli
- A History of Clojure (2020) [pdf]
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Critique of Lazy Sequences in Clojure
Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.
There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:
Malli: https://github.com/metosin/malli
Babashka: https://github.com/babashka/babashka
Clerk: https://github.com/nextjournal/clerk
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[ANN] Malli 0.11.0 is out - a data-driven data specification library for Clojure/Script
BREAKING: walking a :schema passes children instead of [id] to the walker function #884
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Generic functions, a newbie question
When you get to larger, more complex validations, I'd recommend checking out Malli or Spec.
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Any resources for "current best practices and learnings?"
for specs, you can try malli - feels pretty well supported and full featured: https://github.com/metosin/malli (i'm not 100% sure how popular it is for others, but I use it on my personal projects)
- Single-file scripts that download their dependencies
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Clojure Turns 15 round table video
Have you tried malli: Data-driven Schemas for Clojure/Script?
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Clojure from a Schemer's perspective
All that being said, I particularly use malli and I don't find anything to complain about. There is a very nice and sound ecosystem being built around it (malli-ts is one of my contributions to it, but still in early development stages). I highly recommend reading its README, very informative stuff.
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Clojure 15th Anniversary: A Retrospective
Any large codebase can be broken up into small isolated components that can be reasoned about independently. This is how you structure Clojure projects if you want them to be maintainable. Clojure inherently encourages doing this by defaulting to immutability. The contract between components is the data being passed to the component and returned by it. Using Malli schemas at the edges of the components is a typical approach to documenting their APIs https://github.com/metosin/malli
I see the fact that people often end up creating large and tightly coupled monolithic codebases in static languages as a negative aspect of static typing. Such codebases are difficult to reason about even if you have guarantees that the types align. Ultimately, you need to understand the relationships in code, and how they relate to business logic. The more coupling an application has the harder it becomes to reason about it as a whole.
Ideally, I think applications should be structured as a bunch of Lego blocks that can be composed together. Each component should encapsulate some functionality, and then the flow of the business logic should bubble up to the top and expressed in how these components are chained together.
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Worrying comment from HN on Building a Startup on Clojure
Uhhh spec has existed for a long time and before that, schema Nowadays we also have the excellent malli. If his codebase is full of functions where the shape of the data isn’t obvious, isn’t documented and isn’t specified in a specific/schema, that’s on him and his bad coding practices and really no different from passing data in other dynamic languages. A class by itself (without additional effort) only gives you field names.
clojure-graph-resources
- Why Is Jepsen Written in Clojure?
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Fluree DB - A datomic like database that I just discovered
You may be interested in this list: https://github.com/simongray/clojure-graph-resources
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Does anyone have experience with ALM/PLM tools (Application/Product Lifecycle Management)?
Clojure actually has excellent RDF support. Several features of Clojure and Datomic were inspired by directly by RDF and the semantic web tech is also fairly well-represented. I have compiled a list of all the relevant libraries (pull requests welcome).
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An Introduction to Knowledge Graphs
... there's a whole bunch of Datomic-likes these days:
https://github.com/simongray/clojure-graph-resources#datalog
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What are some great Clojure libraries, as of 2021?
There is a whole ecosystem around Datomic and Datomic-like databases that represent linked data in an RDF-like fashion using simple tuples.
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Why Learn Prolog in 2021?
Probably worth mentioning for those interested in Datalog that there's actually a growing selection of databases for Clojure that use Datalog as their query language. I have documented them here: https://github.com/simongray/clojure-graph-resources#datalog
The Clojure variants of Datalog (they model triples as Clojure data structures) are basically becoming as ubiquitous in Clojure as SQL is elsewhere.
What are some alternatives?
clojure - The Clojure programming language
specter - Clojure(Script)'s missing piece
schema - Clojure(Script) library for declarative data description and validation
awesome-semantic-web - A curated list of various semantic web and linked data resources.
babashka - Native, fast starting Clojure interpreter for scripting
awesome-prolog - Curated list of Prolog packages and resources
reitit - A fast data-driven routing library for Clojure/Script
meander - Tools for transparent data transformation
honeysql - Turn Clojure data structures into SQL
crux - General purpose bitemporal database for SQL, Datalog & graph queries. Backed by @juxt [Moved to: https://github.com/xtdb/xtdb]
fulcro - A library for development of single-page full-stack web applications in clj/cljs
core.logic - A logic programming library for Clojure & ClojureScript