I recently completed a pretty fun little website[1] for the U.S. freight rail industry using Hugo, Vue.js, Nuxt, Vuetify, Chart.js and Netlify. It is open source on GitHub[2].
It will soon replace an aging version of the site[3] that was built with Sitecore CMS, .NET, and SQL Server.
At first I considered using Hugo to generate the HTML for the site from git-backed JSON/YAML/TOML files. But the quantity and complexity of the Golang templates was clearly going to be tedious, inflexible, and tough to maintain.
So I settled on using Hugo to generate a read-only REST API instead[4], based on a nice blog post I had read[5][6].
This freed me to use any front-end framework I wished, and I chose Vue, Vuetify, and Axios for their simplicity and productivity on this solo-developer project.
In the end I was quite happy with this combination. Hugo was incredibly fast and productive for ranging over and manipulating all of the JSON/YAML/TOML data files to produce the final read-only REST API JSON... after the initial learning curve with Golang templates.
And the front-end really just boiled down to some key Lodash transformations of the JSON into the various shapes of data that were needed for tabular reports and Chart.js graphs.
[1] https://app.rrpm.run/
[2] https://github.com/railroadpm/site
[3] http://www.railroadpm.org/
[4] https://api.rrpm.run/reports/bnsf/all
[5] https://discourse.gohugo.io/t/build-a-json-api-with-hugos-cu...
[6] https://forestry.io/blog/build-a-json-api-with-hugo/
It will soon replace an aging version of the site[3] that was built with Sitecore CMS, .NET, and SQL Server.
At first I considered using Hugo to generate the HTML for the site from git-backed JSON/YAML/TOML files. But the quantity and complexity of the Golang templates was clearly going to be tedious, inflexible, and tough to maintain.
So I settled on using Hugo to generate a read-only REST API instead[4], based on a nice blog post I had read[5][6].
This freed me to use any front-end framework I wished, and I chose Vue, Vuetify, and Axios for their simplicity and productivity on this solo-developer project.
In the end I was quite happy with this combination. Hugo was incredibly fast and productive for ranging over and manipulating all of the JSON/YAML/TOML data files to produce the final read-only REST API JSON... after the initial learning curve with Golang templates.
And the front-end really just boiled down to some key Lodash transformations of the JSON into the various shapes of data that were needed for tabular reports and Chart.js graphs.
[1] https://app.rrpm.run/ [2] https://github.com/railroadpm/site [3] http://www.railroadpm.org/ [4] https://api.rrpm.run/reports/bnsf/all [5] https://discourse.gohugo.io/t/build-a-json-api-with-hugos-cu... [6] https://forestry.io/blog/build-a-json-api-with-hugo/