Hi,

(I work on the Frictionless Data specifications and tooling at Open Knowledge International.)

Thanks. We are working on the website at present [1], and we are trying to manage a balance of targeting technical and non-technical users, which is hard to get right.

About momentum - I can address that. We have seen significant momentum in the last 2 years, around open data / government transparency / civic tech ( our natural environment - see https://okfn.org for details ), around scientific / academic research via our work enabled by a grant from Sloan [2]( see http://frictionlessdata.io/case-studies/ for a small selection, more reports coming ), and in general around data wrangling and data science efforts (including integration of Table Schema [3] with Pandas [4]).

In terms of big data / machine learning - we have not actively worked in that space to present.

In terms of Julia, and other languages, we have a Julia library in development via our Tool Fund [5], and this will add to implementations [6] in PHP, Java, R, Clojure which are already underway via the Tool Fund, and accompany the Python, Javascript and Ruby implementations that we maintain directly at Open Knowledge International.

[1]: https://github.com/frictionlessdata/frictionlessdata.io/issu... [2]: https://sloan.org [3]: http://specs.frictionlessdata.io/table-schema/ [4]: https://pandas-docs.github.io/pandas-docs-travis/generated/p... [5]: http://toolfund.frictionlessdata.io [6]: https://github.com/frictionlessdata