timefold-solver VS optapy

Compare timefold-solver vs optapy and see what are their differences.

timefold-solver

The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems (by TimefoldAI)
Projects Constraint Satisfaction Problem Solver AI Artificial intelligence constraint-solver cvrp employee-scheduling job-shop-scheduling Metaheuristics Optimization vehicle-routing vehicle-routing-problem vrp vrptw maintenance-scheduling planning-algorithms
Source Code
timefold.ai
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optapy

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems. (by optapy)
Machine Learning Python Python3 Artificial intelligence Metaheuristics local-search simulated-annealing tabu-search vehicle-routing-problem employee-rostering task-assignment traveling-salesman-problem np-hard np-complete mathematical-optimization
Source Code
optapy.org
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timefold-solver optapy
10 2
665 261
5.9% 1.5%
9.7 5.5
8 days ago 8 months ago
Java Java
Apache License 2.0 Apache License 2.0
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.

timefold-solver

Posts with mentions or reviews of timefold-solver. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-20.

optapy

Posts with mentions or reviews of optapy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-06.

What are some alternatives?

When comparing timefold-solver and optapy you can also consider the following projects:

Choco - An open-source Java library for Constraint Programming

or-tools - Google's Operations Research tools:

jsprit - jsprit is a java based, open source toolkit for solving rich vehicle routing problems

scikit-learn - scikit-learn: machine learning in Python

OptaPlanner - Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

tensorflow - An Open Source Machine Learning Framework for Everyone

pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

app - Repository for the last open source version of Booked Scheduler. The "develop" branch contains the most current working code of the project and should be considered beta. The "master" branch is the most current stable release of BookedScheduler. Please read doc/README.md for further details.

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

SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

timefold-solver vs Choco optapy vs or-tools timefold-solver vs jsprit optapy vs scikit-learn timefold-solver vs OptaPlanner optapy vs tensorflow timefold-solver vs pyomo optapy vs VeRyPy timefold-solver vs app optapy vs TFLearn timefold-solver vs or-tools optapy vs SciKit-Learn Laboratory