
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Encore.dev
OpenShift
CloudStack
Docker Compose
AlwaysData
Cast.ai
CenturyLink Cloud
Docker
Encore Cloud automates infrastructure and DevOps, letting you ship 3x faster with 90% less DevOps work, using your own cloud on AWS & GCP. ✓ Get enterprise-grade infrastructure without the complexity and DevOps overhead ✓ Enable safe AI-assisted development with built-in guardrails ✓ Gain full visibility across your stack with built-in Service Catalog, API documentation, and tracing
Key Features:
Production-Ready AI Assisted Development: Encore's parser validates all generated code to ensure it correctly implements service and API definitions, infrastructure integrations, etc.
No boilerplate: Encore drastically reduces the boilerplate needed to set up a production ready backend application. Define backend services, API endpoints, and call APIs with a single line of Go code.
Distributed Tracing: Encore instruments your application for excellent observability. Automatically captures information about API calls, goroutines, HTTP requests, database queries, and more. Automatically works for local development as well as in production.
Infrastructure Automation: Encore automatically provisions and manages your cloud infrastructure. Works with all the major cloud providers and you deploy to your own account (AWS/Azure/GCP).
Simple Secrets: Easily store and securely use secrets and API keys. Never worry about how to store and get access to secret values again.
Service Catalog and Automatic API Documentation: Encore parses your source code to understand the schemas for all your APIs and automatically generate interactive API Documentation.
Plotly
Encore.devPlotly 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, Encore.dev should be more popular than Plotly. It has been mentiond 86 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.
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 / almost 2 years 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
This is close to what we're doing with [Encore](https://encore.cloud). The framework parses your application code through static analysis at compile time to build a full graph of services, APIs, databases, queues, cron jobs, and their dependencies. It uses that graph to provision infrastructure, generate architecture diagrams, API docs, and wire up observability automatically. The interesting side effect is that... - Source: Hacker News / 7 months ago
If you want to replicate Heroku's git push workflow while owning your infrastructure, Encore Cloud provisions managed resources in your own AWS or GCP account (powered by Encore, an open-source framework with 11k+ GitHub stars). You declare infrastructure as type-safe objects in your TypeScript or Go code, and Encore provisions the corresponding managed services. Everything else is standard TypeScript or Go. - Source: dev.to / 7 months ago
I work at Encore so I'm biased. We've had a bunch of people migrate over from Heroku in the last couple years, especially after they killed the free tier. The main difference from other alternatives is that you don't write any infrastructure config - you just declare what you need in your code (databases, cron jobs, pubsub, etc) and Encore handles provisioning it in your AWS/GCP account (works locally as well... - Source: Hacker News / 7 months ago
Most teams should start with the simplest option that meets their needs, then evolve if necessary. If you're building a backend application and don't want to become an infrastructure expert, Encore is worth trying. If you need maximum flexibility or multi-cloud support, Terraform is the industry standard. - Source: dev.to / 7 months ago
Today, we're launching Encore Cloud 2.0, a big upgrade to our development platform that understands your code and automates the operations layer. - Source: dev.to / 9 months ago
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.
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
CloudStack - Apache's CloudStack is a Project backed by Citrix and designed to be a direct competitor to...
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.
Docker Compose - Define and run multi-container applications with Docker