Fields2Cover
DataFrame
| Fields2Cover | DataFrame | |
|---|---|---|
| 6 | 109 | |
| 424 | 2,293 | |
| 12.0% | - | |
| 8.9 | 9.4 | |
| 7 days ago | 1 day ago | |
| C++ | C++ | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
Fields2Cover
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Looking for projects to contribute to
Hi :) I'm doing my PhD about coverage path planning in agriculture, and help is always more than welcomed. https://github.com/Fields2Cover/Fields2Cover There are many things to do like writing tests or improving the docs, but for me the most funny part is getting a paper about the topic and implementing it into the library.
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[Ask for help] How can I install my own C++ library on Windows?
I have been working on an OS library (https://github.com/Fields2Cover/Fields2Cover) for two years. The aim of this lib is to create coverage paths for agricultural purposes.
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How to Install Fields2Cover on Linux for Coverage Path Planning on Agriculture
Installing Fields2Cover (https://github.com/Fields2Cover/Fields2Cover) on your Linux system is a fantastic way to improve the efficiency and productivity of your agricultural operations!
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Need help to start opensource
PS: I would love some help (https://github.com/Fields2Cover/Fields2Cover), but I understand it's a bit niche. Moreover it's starting, so not to much to learn before start contributing.
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Doom
I am actually making an open source coverage path planner for tractors: https://github.com/Fields2Cover/Fields2Cover
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Fields2Cover: the first Coverage Path Planning library for agriculture (my PhD project)
I've released the Fields2Cover library: https://github.com/Fields2Cover/Fields2Cover
DataFrame
- New multithreaded version of C++ DataFrame was released
- DataFrame: NEW Data - star count:2013.0
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C++ DataFrame vs. Polars
For a while, I have been hearing that Polars is so frighteningly fast that you shouldn’t look directly at it with unprotected eyes. So, I finally found time to learn a bit about Polars and write a very simple test/comparison for C++ DataFrame vs. Polars.
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C++ Show and Tell - July 2023
I have worked on C++ DataFrame for the past 5+ years in my spare times. It is comparable to Pandas or R data.frame, although it includes a lot more functionality.
- Allocators; one of the ignored souls of STL
What are some alternatives?
lawn_tractor - Software for self driving lawn tractor.
datatable - A Python package for manipulating 2-dimensional tabular data structures
motion_planning - Robot path planning, mapping and exploration algorithms
db-benchmark - reproducible benchmark of database-like ops
teb_local_planner - An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)
sktime - A unified framework for machine learning with time series
spore-codegen - Build-system agnostic code generation application for C++.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Arduino_EdgeControl - Arduino Library for Arduino Edge Control
zhetapi - A C++ ML and numerical analysis API, with an accompanying scripting language.
docs - conan.io reStructuredText documentation
faiss - A library for efficient similarity search and clustering of dense vectors.