python-constraint VS 2021-2022

Compare python-constraint vs 2021-2022 and see what are their differences.

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python-constraint 2021-2022
3 1
402 -
2.2% -
8.6 -
4 months ago -
Python
BSD 2-clause "Simplified" 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.

python-constraint

Posts with mentions or reviews of python-constraint. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-12.

2021-2022

Posts with mentions or reviews of 2021-2022. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-12.
  • Constraint Programming
    8 projects | news.ycombinator.com | 12 Sep 2022
    I totally agree. MiniZinc is a great tool to prototype solvers for combinatorial optimization problems. It's mature (but still growing) and has support for many different solvers, not only from the Constraint Programming/SAT family. You can easily switch to MIP solvers (like Gurobi) or even try some local search approaches.

    It has very good documentation, reasonable IDE and AFAIK three great courses on Coursera for beginners. I have been teaching it myself[1] and all my students were amazed how quickly one can develop a working prototype for real-life industrial problems.

    [1] https://gitlab.com/agh-courses/2021-2022/constraint-programm...

What are some alternatives?

When comparing python-constraint and 2021-2022 you can also consider the following projects:

awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

safety-gymnasium - NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark