openskill.py VS openskill.js

Compare openskill.py vs openskill.js and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
openskill.py openskill.js
22 6
241 187
4.1% -
7.3 9.0
6 days ago 6 days ago
Jupyter Notebook TypeScript
MIT License MIT 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.

openskill.py

Posts with mentions or reviews of openskill.py. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-01.

openskill.js

Posts with mentions or reviews of openskill.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-01.

What are some alternatives?

When comparing openskill.py and openskill.js you can also consider the following projects:

trueskill - An implementation of the TrueSkill rating system for Python

openskill.lua

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

ts-trueskill - TypeScript port of the python TrueSkill package

karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Data Flow Facilitator for Machine Learning (dffml) - The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

tensorflow - An Open Source Machine Learning Framework for Everyone

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

Pylearn2 - Warning: This project does not have any current developer. See bellow.

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.