
WinSCP
FileZilla
Cyberduck
Transmit
SmartFTP
Forklift
CuteFTP
FireFTP
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
WinSCP
PlotlyWinSCP is recommended for IT professionals, web developers, and system administrators who need a reliable and secure tool for transferring files. It's also suitable for individual users who prefer a free, open-source solution for their file transfer needs.
Plotly 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, WinSCP should be more popular than Plotly. It has been mentiond 63 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.
> I don't know a single techie person who uses Windows (other than for gaming) I'd say that Windows actually has some nice software, like MobaXTerm: https://mobaxterm.mobatek.net/ which in my eyes is better than Remmina or pretty much anything I've found on nix, short of just running the same thing on Wine. WinSCP is also pretty cool, albeit nothing particularly special: https://winscp.net/eng/index.php PowerToys... - Source: Hacker News / about 2 years ago
You may choose to download the files locally and then upload them to your server using another client like WinSCP or FileZilla, but the simplest way would be to use wget with the download link as below:. - Source: dev.to / over 2 years ago
In this article, we will explore a DevOps approach that goes beyond conventional file transfer tools like WinSCP. Check here for how to set up WinSCP. Our focus will be on leveraging the capabilities of C# and the DevExpress Framework to not only update servers efficiently but also to orchestrate a seamless and automated deployment process. - Source: dev.to / over 2 years ago
For a secure cloud storage setup, I use Cryptomator, accessible at https://cryptomator.org/, on my Android device, and Mountain Duck, available at https://mountainduck.io/, on my desktop. This configuration enables me to choose my own storage provider on a pay-as-you-go basis. My preferred storage provider is S3, mainly because it facilitates easy backup of cloud files on my NAS or via tools such as WinSCP, which... Source: about 3 years ago
Download and install [Python](https://www.python.org/ftp/python/3.6.3/python-3.6.3.exe) Choose All Users and add it to your Path Open cmd, and type 'pip install Pillow' Download the attached file and edit it accordingly (specify your LaunchBox folder, desired output folder and platforms) Run 'python launchbox\_retropie\_export.py' Transfer the files to your Pi using... Source: about 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 / 4 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
FileZilla - FileZilla is an FTP, or file transfer protocol, client. It lets individuals transfer single files or batches to a web server. For many years, FTP was the standard for website design. Read more about FileZilla.
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.
Cyberduck - A libre FTP, SFTP, WebDAV, S3, Backblaze B2, Azure & OpenStack Swift browser.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Transmit - Transmit is an FTP client for Mac OS X and Mac OS Classic (which is unsupported).
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.