esnet/iperf

iperf3: A TCP, UDP, and SCTP network bandwidth measurement tool

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Summary Information

Updated 12 minutes ago
Added to GitGenius on September 7th, 2026
Created on February 25th, 2014
Open Issues & Pull Requests: 235 (+0)
GitHub issues: Enabled
Number of forks: 1,444
Total Stargazers: 8,744 (+0)
Total Subscribers: 225 (+0)

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Open issues: 76
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 744 days
Stale 30+ days: 73
Stale 90+ days: 63

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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  • enhancement (14)
  • bug (12)
  • Help Wanted (5)
  • question (5)
  • bug:reverse (4)
  • wontfix (3)
  • bug:test-data (2)
  • bug:tos (2)

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Detailed Description

iperf3 is a network bandwidth measurement tool that measures maximum achievable throughput over TCP, UDP, and SCTP connections.

The tool performs active network measurement by establishing connections between a client and server, tuning protocol parameters, and reporting throughput, bitrate, packet loss, and other performance metrics. It was redesigned from scratch to provide a smaller, simpler codebase than the original iperf, with a library interface that allows its functionality to be embedded in other programs. The implementation includes features borrowed from tools like nuttcp and netperf, such as zero-copy mode using sendfile() and optional JSON output. By default it measures performance under typical well-designed application conditions, though it offers flags for extreme best-case optimizations when explicitly enabled.

The tool suits network operators, researchers, and system administrators who need to verify network capacity and diagnose performance issues. It is widely used as a standalone utility by research and education networks, and serves as a core component of the perfSONAR network measurement system. The tool is officially supported on Ubuntu Linux, FreeBSD, and macOS, with reported success on OpenBSD, NetBSD, Android, Solaris, and other Linux distributions. Note that iperf3 is not backwards compatible with the original iperf implementation.

Development is centered at ESnet and Lawrence Berkeley National Laboratory. The project maintains an active issue tracker and discussion forums on GitHub for community engagement. The codebase is written in C with no external build prerequisites beyond standard development tools, using a conventional autoconf-based build process.