openskill.py VS ts-trueskill

Compare openskill.py vs ts-trueskill and see what are their differences.

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openskill.py ts-trueskill
22 1
242 72
2.5% -
7.3 4.4
23 days ago 16 days ago
Jupyter Notebook TypeScript
MIT License GNU General Public License v3.0 or later
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.

ts-trueskill

Posts with mentions or reviews of ts-trueskill. 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 ts-trueskill you can also consider the following projects:

trueskill - An implementation of the TrueSkill rating system for Python

openskill.kt

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

openskill.lua

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

openskill.ex - Elixir implementation of Weng-Lin Bayesian ranking, a better, license-free alternative to TrueSkill

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.

openskill.js - A faster, open-license alternative to Microsoft TrueSkill

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

TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

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

Visual Studio Code - Visual Studio Code