tdaq VS awesome-scientific-go

Compare tdaq vs awesome-scientific-go and see what are their differences.

tdaq

tdaq: a toolkit for building DAQ systems (by go-daq)

awesome-scientific-go

Go libraries for scientific computing (by samuell)
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tdaq awesome-scientific-go
1 1
5 89
- -
5.1 10.0
6 months ago almost 4 years ago
Go
BSD 3-clause "New" or "Revised" License Creative Commons Zero v1.0 Universal
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.

tdaq

Posts with mentions or reviews of tdaq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-27.

awesome-scientific-go

Posts with mentions or reviews of awesome-scientific-go. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-27.
  • Go for science?
    8 projects | /r/golang | 27 May 2022
    Maybe here is some help with the libraries: https://github.com/samuell/awesome-scientific-go

What are some alternatives?

When comparing tdaq and awesome-scientific-go you can also consider the following projects:

npyio - npyio provides read/write access to numpy data files.

uldaq - MCC Universal Library for Linux

hep - hep is the mono repository holding all of go-hep.org/x/hep packages and tools