gohistogram alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view gohistogram alternatives based on common mentions on social networks and blogs.

gonum
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more. 
gonum/plot
gonum/plot provides an API for building and drawing plots in Go. 
Stats
A statistics package with common functions that are missing from the Golang standard library. 
gosl
Go scientific library for linear algebra, FFT, geometry, NURBS, numerical methods, probabilities, optimisation, differential equations, and more. 
streamtools
general purpose, graphical tool for dealing with streams of data. 
chart
Simple Chart Plotting library for Go. Supports many graphs types. 
goraph
A pure Go graph theory library(data structure, algorith visualization) 
dataframego
Dataframes for machinelearning and statistics (similar to pandas). 
gonum/mat64
The general purpose package for matrix computation. Package mat64 provides basic linear algebra operations for float64 matrices. 
calendarheatmap
Calendar heatmap in plain Go inspired by Github contribution activity. 
TextRank
TextRank implementation in Golang with extendable features (summarization, weighting, phrase extraction) and multithreading (goroutine) support. 
sparse
Go Sparse matrix formats for linear algebra supporting scientific and machine learning applications, compatible with gonum matrix libraries. 
vectormath
Vectormath for Go, an adaptation of the scalar C functions from Sony's Vector Math library, as found in the Bullet2.79 source code. (currently inactive) 
triangolatte
2D triangulation library. Allows translating lines and polygons (both based on points) to the language of GPUs. 
PiHex
Implementation of the "BaileyBorweinPlouffe" algorithm for the hexadecimal number Pi 
ode
An ordinary differential equation (ODE) solver which supports extended states and channelbased iteration stop conditions. 
GoStats
GoStats is an Open Source GoLang library for math statistics mostly used in Machine Learning domains, it covers most of the Statistical measures functions. 
gofrac
A (goinstallable) fractions library for go with support for basic arithmetic. 
assocentity
Package assocentity returns the average distance from words to a given entity. 
rootfinding
rootfinding algorithms library for finding roots of quadratic functions. 
gofn
Mathematical functions written in Go language, that are not covered by math pkg 
bradleyterry
Provides a BradleyTerry Model for pairwise comparisons. 
gocomplex
A complex number library for the Go programming language. 
mudlarkgo
A collection of packages providing (hopefully) useful code for use in software using Google's Go programming language.
Scout APM  Leadingedge performance monitoring starting at $39/month
Do you think we are missing an alternative of gohistogram or a related project?
README
gohistogram  Histograms in Go
This package provides Streaming Approximate Histograms for efficient quantile approximations.
The histograms in this package are based on the algorithms found in BenHaim & YomTov's A Streaming Parallel Decision Tree Algorithm (PDF). Histogram bins do not have a preset size. As values stream into the histogram, bins are dynamically added and merged.
Another implementation can be found in the Apache Hive project (see NumericHistogram).
An example:
The accurate method of calculating quantiles (like percentiles) requires data to be sorted. Streaming histograms make it possible to approximate quantiles without sorting (or even individually storing) values.
NumericHistogram is the more basic implementation of a streaming histogram. WeightedHistogram implements bin values as exponentiallyweighted moving averages.
A maximum bin size is passed as an argument to the constructor methods. A larger bin size yields more accurate approximations at the cost of increased memory utilization and performance.
A picture of kittens:
Getting started
Using in your own code
$ go get github.com/VividCortex/gohistogram
import "github.com/VividCortex/gohistogram"
Running tests and making modifications
Get the code into your workspace:
$ cd $GOPATH
$ git clone [email protected]:VividCortex/gohistogram.git ./src/github.com/VividCortex/gohistogram
You can run the tests now:
$ cd src/github.com/VividCortex/gohistogram
$ go test .
API Documentation
Full source documentation can be found here.
Contributing
We only accept pull requests for minor fixes or improvements. This includes:
 Small bug fixes
 Typos
 Documentation or comments
Please open issues to discuss new features. Pull requests for new features will be rejected, so we recommend forking the repository and making changes in your fork for your use case.
License
Copyright (c) 2013 VividCortex
Released under MIT License. Check LICENSE
file for details.
*Note that all licence references and agreements mentioned in the gohistogram README section above
are relevant to that project's source code only.