tdaq VS npyio

Compare tdaq vs npyio and see what are their differences.

tdaq

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

npyio

npyio provides read/write access to numpy data files. (by sbinet)
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tdaq npyio
1 1
5 58
- -
5.1 5.8
6 months ago 2 months ago
Go Go
BSD 3-clause "New" or "Revised" License 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.

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.

npyio

Posts with mentions or reviews of npyio. 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 tdaq and npyio you can also consider the following projects:

uldaq - MCC Universal Library for Linux

fitsio - fitsio is a pure-Go package to read and write `FITS` files

boostio - Serialization library compatible with C++ Boost Serialization

gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more

awesome-scientific-go - Go libraries for scientific computing

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

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing