proxy.golang.org : github.com/HdrHistogram/hdrhistogram-go : v1.1.1
Package hdrhistogram provides an implementation of Gil Tene's HDR Histogram data structure. The HDR Histogram allows for fast and accurate analysis of the extreme ranges of data with non-normal distributions, like latency. Histograms are encoded using the HdrHistogram V2 format which is based on an adapted ZigZag LEB128 encoding where: consecutive zero counters are encoded as a negative number representing the count of consecutive zeros non zero counter values are encoded as a positive number A typical histogram (2 digits precision 1 usec to 1 day range) can be encoded in less than the typical MTU size of 1500 bytes. The log format encodes into a single file, multiple histograms with optional shared meta data.
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purl: pkg:golang/github.com/%21hdr%21histogram/[email protected]
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- github.com/davecgh/go-spew v1.1.1
- github.com/google/go-cmp v0.5.4
- github.com/kr/text v0.2.0
- github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e
- github.com/stretchr/testify v1.7.0
- golang.org/x/exp v0.0.0-20191030013958-a1ab85dbe136
- golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1
- gonum.org/v1/gonum v0.8.2
- gopkg.in/check.v1 v1.0.0-20200227125254-8fa46927fb4f