Comparisons of Julia w/ other languages often say one disadvantage of Julia is that it has fewer 3rd party packages.
I tend to disagree. Julia doesn’t need more packages, it needs better packages (w/ more functionality).
Consider some packages listed in the posts & others I found on my own:
TSAnalysis, ARFIMA,StateSpaceModels, ARMAProcesses, TimeSeries, TimeModels (unmaintained), ARCHModels, Cointegration, FactorModels and thesis, VARmodels, VectorAutoregressions, TSML, ForecastingCombinations, ForecastEval, Financial Risk Forecasting (textbook), VAR with SV, Hamilton Filter & Dynamic Factor, RARIMA, SMC, Temporal, Indicators, QuantEcon, Creel Econometrics, Paul Soderlind, and many others.
Question 1: if I’m using/developing a Julia program, what is an easy way to find all that currently exists in my domain?
A simple Github search for “time-series” (Language=Julia) would miss most of the packages I found above. For example it would miss the Master’s thesis which is assigned the language .tex by Github.
Question 2: like most users, I’d prefer a very small number of carefully optimized, regularly maintained time-series libraries w/ minimal redundancy. How can we increase cooperation to develop a leaner Julia package ecosystem?
PS: I’m only using TS & forecasting as one example of a domain that can be cleaned up