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Top Pkgs Packages

241

Alpine

A JuMP-based Global Optimization Solver

242

SIUnits

Efficient unit-checked computation

243

Sigma

Sigma is a probabilistic programming environment implemented in Julia

244

JuliaInterpreter

Interpreter for Julia code

245

Einsum

Einstein summation notation in Julia

246

Cubature

One- and multi-dimensional adaptive integration routines for the Julia language

247

DataStreams

[DEPRECATED] A fast, generic framework for transferring table-like data structures in Julia

248

ImageView

Interactive display of images and movies

249

Polynomials

Polynomial manipulations in Julia

250

DataDeps

reproducible data setup for reproducible science

251

IterTools

Common functional iterator patterns

252

FixedEffectModels

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

253

AWS

Julia interface to AWS

254

GLMNet

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

255

Immerse

Dive deeper into your data with interactive graphics

256

ReadStat

Read files from Stata, SAS, and SPSS

257

SimpleTraits

Simple Traits for Julia

258

ResumableFunctions

C# sharp style generators a.k.a. semi-coroutines for Julia.

259

IntervalArithmetic

Rigorous floating-point calculations using interval arithmetic in Julia

260

Formatting

A Julia package to provide Python-like formatting support

261

Colors

Color manipulation utilities for Julia

262

Transducers

Efficient and type-stable transducers for Julia

263

Queryverse

A meta package for data science in julia

264

TypeCheck

A TypeChecker for Julia

265

MarketTechnicals

Technical analysis of financial time series in Julia

266

RandomNumbers

Random Number Generators for the Julia Language.

267

ProximalOperators

Proximal operators for nonsmooth optimization in Julia

268

Roots

Root finding functions for Julia

269

OpenGene

(No maintenance) OpenGene, core libraries for NGS data analysis and bioinformatics in Julia

270

COSMO

COSMO: An ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Implemented in Julia