awesome-scientific-go
Go libraries for scientific computing (by samuell)
tdaq
tdaq: a toolkit for building DAQ systems (by go-daq)
awesome-scientific-go | tdaq | |
---|---|---|
1 | 1 | |
89 | 5 | |
- | - | |
10.0 | 5.1 | |
almost 4 years ago | 7 months ago | |
Go | ||
Creative Commons Zero v1.0 Universal | BSD 3-clause "New" or "Revised" 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.
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.
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?
Maybe here is some help with the libraries: https://github.com/samuell/awesome-scientific-go
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.
What are some alternatives?
When comparing awesome-scientific-go and tdaq you can also consider the following projects:
npyio - npyio provides read/write access to numpy data files.
hep - hep is the mono repository holding all of go-hep.org/x/hep packages and tools
uldaq - MCC Universal Library for Linux