Re:Frictionless Data: Lightweight standards and tooling for ...
by _pwalsh on Wednesday September 27, 2017 @08:38AM
(#15347135)
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.
(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