
Lokalise
Phrase
Crowdin
Transifex
POEditor
Smartling
Localize
Weblate
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Lokalise is a translation management system, which is designed to make the process of localization faster and easier. Our platform reduces manual work and routine tasks that appear while translating web and mobile apps, games, and other software.
With Lokalise you can: โ Translate your localization files (.xml, .strings, .json, .xliff, etc). โ Collaborate and manage all your software localization projects in one platform. โ Integrate translation into the development and deployment process. โ Set up automated workflows via API, use webhooks or integrate with other services (GitHub, Slack, JIRA, Sketch, etc). โ Add screenshots for automatic recognition and matching with the text strings in your projects. โ Upload Sketch artboards to Lokalise and allow translators to work before development starts. โ Preview in real-time how the translations will look like in your web or mobile app (iOS and Android SDK). โ Order professional translations from Lokalise translators or use machine translation.
Lokalise
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly should be more popular than Lokalise. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There are many products out there such as Lokalize, Crowdin, Weglot, Adobe Target, etc can be used to achieve these experiences. Diving into the details and the general working of these products is out of scope of this blog post. But do give these products a try. - Source: dev.to / almost 2 years ago
I'm pretty sure, you'll find companies like this one which provide a nice GUI for helping with l10n or this one which offers translation services or this page that offers to convert between different formats, one of which probably has a nice GUI tool. Found them by 20 secs of googling. Source: about 3 years ago
Localise has no problem reading the json files or export to json, we recently started using it in collaboration with external translators. Source: over 3 years ago
Actually I don't have "my" app. But in our app we use https://lokalise.com/ to localize it even to Norwegian. Our team is not the most expensive company in the world btw. And we don't have 1B+ users all over the world. Source: over 3 years ago
Internationalization (i18n) pain for a documentation project is a process problem, not a feature gap. Documentation frameworks are not meant to translate your developer docs for you into the language of your choice. Some frameworks might offer i18n support, like the Crowdin support in Docusauraus v2. With Jekyll, you have to pick a theme like this one. I doubt if the reST or adoc frameworks would differ much from... - Source: dev.to / over 3 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Phrase - The worldโs leading Language Intelligence Platform.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Crowdin - Localize your product in a seamless way with Crowdin's translation management software
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Transifex - Transifex makes it easy to collect, translate and deliver digital content, web and mobile apps in multiple languages. Localization for agile teams.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.