pynto
plumbing
| pynto | plumbing | |
|---|---|---|
| 1 | 2 | |
| 6 | 1,483 | |
| - | -0.1% | |
| 6.1 | 0.0 | |
| 6 months ago | about 1 year ago | |
| Python | Clojure | |
| MIT License | - |
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pynto
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Show HN: Hamilton, a Microframework for Creating Dataframes
My pynto https://github.com/punkbrwstr/pynto is a similar framework for creating dataframes, but using a concatenative paradigm that treats the frame as a stack of columns. Functions ("words") operate on the stack to set up the graph for each column, and execution happens afterwards in parallel. Instead of function modifiers like @does it uses combinators to apply quoted operations to multiple columns. The postfix syntax (think postscript or factor) is unambiguous, if a bit old-school.
plumbing
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Python dataclass equivalent
This library https://github.com/plumatic/plumbing, a predecessor of spec, has variants of defn and fn that allow you to specify the schema inline, sort of similar to type hints.
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Show HN: Hamilton, a Microframework for Creating Dataframes
This reminds me a bit of a Clojure library called Plumbing (formerly Graph): https://github.com/plumatic/plumbing. It also let you create a DAG for structured computation. It was used for a web service, at that time.
What are some alternatives?
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
datascript - Immutable database and Datalog query engine for Clojure, ClojureScript and JS
prosto - Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby
defn-spec - Add function args and return Spec checking via assertions
truss - Assertions micro-library for Clojure/Script
scope-capture - Project your Clojure(Script) REPL into the same context as your code when it ran
Dask - Parallel computing with task scheduling
spec-tools - Clojure(Script) tools for clojure.spec
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
ghostwheel - Hassle-free inline clojure.spec with semi-automatic generative testing and side effect detection