libshipkore VS maro

Compare libshipkore vs maro and see what are their differences.

libshipkore

Shipkore's Open Source courier tracking library & CLI to track packages. (by ShipKore)

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems. (by microsoft)
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libshipkore maro
1 9
5 816
- 2.0%
0.0 3.5
about 2 years ago 2 months ago
Python Python
GNU Affero General Public License v3.0 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.

libshipkore

Posts with mentions or reviews of libshipkore. We have used some of these posts to build our list of alternatives and similar projects.

maro

Posts with mentions or reviews of maro. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-12.

What are some alternatives?

When comparing libshipkore and maro you can also consider the following projects:

shippo-python-client - Shipping API Python library (USPS, FedEx, UPS and more)

openerp-6.1.1

rotki - A portfolio tracking, analytics, accounting and management application that protects your privacy

pyEnigma - Python Enigma cypher machine simulator.

pytracking - Visual tracking library based on PyTorch.

agents-aea - A framework for autonomous economic agent (AEA) development

VMAgent - Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.

ai-economist - Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

palletier - Palletier is a Python implementation of the solution for the distributer's pallet packing problem

blender-quadcopter-fpv - Quadcopter FPV Simulator for blender to capture epic footage

Mava - 🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

or-gym - Environments for OR and RL Research