plotly.js

Well, MathML[1] support is (nearly) everywhere now, and as the docs say: MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript. I don't have a lot of experience working with this stuff (yet) but if you can script your MathML objects with Javascript, you should be able to make whatever interactive "stuff" you want in terms of math notation. Now drawing objects and plots and stuff is a different question. There's stuff like Plotly.js[2], D3.js[3], Sigma.js[4], Three.js[5], Two.js[6], Paper.js[7], etc. that might be useful depending on exactly what effects you're going for. [1]: https://developer.mozilla.org/en-US/docs/Web/MathML [2]: https://github.com/pl

plotly offers multiple options (python, R, javascript). the weby stuff is done with plotly.js and uses d3.js underneath - https://github.com/plotly/plotly.js

Hello HN! Nice to see this up here. Chris here, cofounder of Plotly. Falcon is open source and works without an internet connection or a Plotly Chart Studio account. Falcon wires together our graphing library plotly.js (https://github.com/plotly/plotly.js/), the plotly.js chart editor (https://github.com/plotly/react-chart-editor), Electron, and some open source NPM packages for connecting to databases. Just FYI - As a company (Plotly), we're spending most of our development effort these days on Dash Open Source (https://github.com/plotly/dash) and Dash Enterprise (https://plotly.com/dash). Truth be told, we found that most companies we worked with preferred to own the analytical backend. We also heard many stories of organizations running into roadblocks with off-the-shelf SQL or BI tools (Falcon included!). Our approach with Dash is to

Having created mostly static in excel, I found the premise of d3 awesome! As the complexity to use it was kind of overwhelming, I ended up using plotly.js and its react wrapper for an analytical app at work. Whilst this works great and is super straightforward, there's many little things that you can't easily control in plotly (and other similar libraries). They come with some bugs/quirks that perhaps are meaningless to 95% of their users, but limit me from making my ideal dashbaord. E.g. plotly doesn't seem to support formatting a date as a week with a ISO8601 (%V): https://github.com/plotly/plotly.js/issues/424 and many other little things. What's the best way to use d3 with react these days, then? Is there some recommendation from Mike or someone else who is experienced in this area?

plot.ly JS [1][2] is probably the most "batteries included" charts framework I've used, which isn't mentioned on the comparison table on the bottom of that git repo. [1] https://plot.ly/javascript/ [2] https://github.com/plotly/plotly.js/

I wonder if Plotly will ever take privacy and security seriously... I've had this ticket open for years. https://github.com/plotly/plotly.js/issues/316

Yes I'm aware its got the MIT licence [0]. I should have made myself clearer, I was referring to this particular example, where the OP's articles plots don't render anymore. I know that's how they make money, by making it possible to share plots (or make them accessible) through their own platform. One could have just* self hosted them with bokeh. Oh well, to each their own. Maybe they just wanted to show the cool thing, rather than having to worry about all the devops stuff. My gripe was pedantic, I know. [0]https://github.com/plotly/plotly.js/blob/master/LICENSE * with a non trivial amount of effort.

I'm working on an open source "interactive time series forecasting app"[0] powered by Prophet[1] and Plotly[2]. I aim to make it a fully featured front-end to the Prophet forecasting tool released by Facebook's Data Science group. I loved Prophet at first sight and thought it can be a goto solution to the problem, so I have decided to use Plotly's interactive charting and React's declarative programming for the performance. It's still in the development phase for now, my next task is to enable installation through NPM or PIP. [0] https://github.com/Prophetly/Prophetly [1] https://facebookincubator.github.io/prophet [2] https://github.com/plotly/plotly.js

We looked into it after they open sourced it; AFAIK, it is still designed to connect to their streaming servers with an API key (or run locally in an ipython notebook or similar "offline"). If you want to make your own private dashboards for your own system you still need https://plot.ly/product/enterprise/#plotly-on-premise See https://github.com/plotly/plotly.js/issues/16 Maybe there is a way of rolling your own, but there isn't any documentation... We ended up using (Django-)NVD3 instead, which worked fine.

Note that chart appears to not work on iOS, as Plot.ly is erroneously snowing a "Webgl not supported" message (which is an error on their end, as the official website for the library shows the same issue. Issue on GitHub: https://github.com/plotly/plotly.js/issues/280) That's a shame, as their API is pretty good, as this demo illustrates.

Plot.ly is becoming a serious contender in the charting-libraries space. Their OS libraries are fantastic. https://github.com/plotly/plotly.js/