CLPython
An implementation of Python in Common Lisp (by metawilm)
statistical-learning
Statistical learning models for the Common Lisp (by sirherrbatka)
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CLPython | statistical-learning | |
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5 | 1 | |
364 | 11 | |
- | - | |
2.9 | 7.3 | |
6 months ago | about 1 month ago | |
Common Lisp | Common Lisp | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CLPython
Posts with mentions or reviews of CLPython.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-19.
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Why Static Languages Suffer From Complexity
C++, ~haskell, python, mathematica... capisce? :)
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You loved running JavaScript in your web browser
we need to go deeper https://common-lisp.net/project/clpython/
- Common Lisp implementation in Python
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Anybody using Common Lisp or clojure for data science
cl-python
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Compiler in Lisp
Python
statistical-learning
Posts with mentions or reviews of statistical-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-16.
-
Anybody using Common Lisp or clojure for data science
Yeah, I use CL for data science, despite lack of suitable tools. I even ended up writing my own: https://github.com/sirherrbatka/clusters https://github.com/sirherrbatka/vellum https://github.com/sirherrbatka/vellum-plot https://github.com/sirherrbatka/statistical-learning
What are some alternatives?
When comparing CLPython and statistical-learning you can also consider the following projects:
MicroPython - MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
qvm - The high-performance and featureful Quil simulator.
IronPython - Implementation of Python 3.x for .NET Framework that is built on top of the Dynamic Language Runtime.
numcl-benchmarks - benchmarks against numpy, julia
Grumpy - Grumpy is a Python to Go source code transcompiler and runtime.
neanderthal - Fast Clojure Matrix Library
PySec - OWASP Python Security Project
vellum-plot
pylisp - A Lisp compiler targeting Python
hissp - It's Python with a Lissp.
py4cl - Call python from Common Lisp
vellum - Data Frames for Common Lisp
CLPython vs MicroPython
statistical-learning vs qvm
CLPython vs IronPython
statistical-learning vs numcl-benchmarks
CLPython vs Grumpy
statistical-learning vs neanderthal
CLPython vs PySec
statistical-learning vs vellum-plot
CLPython vs pylisp
statistical-learning vs hissp
CLPython vs py4cl
statistical-learning vs vellum