c-ares VS flamethrower

Compare c-ares vs flamethrower and see what are their differences.

c-ares

A C library for asynchronous DNS requests (by c-ares)

flamethrower

a DNS performance and functional testing utility supporting UDP, TCP, DoT and DoH (by @ns1labs) (by DNS-OARC)
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c-ares flamethrower
2 3
1,607 287
1.1% 1.7%
4.1 3.2
6 days ago 17 days ago
C++ C++
GNU General Public License v3.0 or later Apache License 2.0
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.

c-ares

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

We haven't tracked posts mentioning c-ares yet.
Tracking mentions began in Dec 2020.

flamethrower

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

We haven't tracked posts mentioning flamethrower yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing c-ares and flamethrower you can also consider the following projects:

harfbuzz - HarfBuzz text shaping engine

PowerDNS - PowerDNS Authoritative, PowerDNS Recursor, dnsdist

command - Command, ::process::Command like syscalls in C++.

scrift - New generation shell for everyone.

Apache Thrift - Apache Thrift

ddoor - DDoor - cross platform backdoor using dns txt records

fann - Official github repository for Fast Artificial Neural Network Library (FANN)

ArrayFire - ArrayFire: a general purpose GPU library.

Swoole - 🚀 Coroutine-based concurrency library for PHP

Halide - a language for fast, portable data-parallel computation