Software Alternatives, Accelerators & Startups

Plotly VS env0

Compare Plotly VS env0 and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

env0 logo env0

The Best Way to Manage Your Terraform and Infrastructure as Code Manage, deploy, scale, and control all your Terraform, Terragrunt, Pulumi, and related frameworks
  • Plotly Landing page
    Landing page //
    2023-07-31
  • env0 Landing page
    Landing page //
    2022-06-23

env0 provides an automated, collaborative remote-run workflows management for cloud deployments on Terraform, Terragrunt and custom flows. env0 enables users and teams to jointly govern cloud deployments with self-service capabilities. env0 provides you visibility into GitOps workflows of infrastructure changes. Leverage our granular RBAC permissions and limit access to IaC execution (e.g "terraform apply"), on production and other critical cloud resources.

env0

Website
env0.com
$ Details
paid Free Trial $349.0 / Monthly (10 Users, 100 Deployments.)
Platforms
AWS Azure GCP Slack Microsoft Teams
Release Date
2020 July

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

env0 features and specs

  • Apply on Push/Merge
  • Drift Detection and management
  • Plan and Apply from PR comments
  • Granular RBAC and OPA
  • Support for complex environments
  • Friendly, easy-to-consume UI
  • Cost management and estimation
  • Deployment TTL control
  • Self-service
  • Log forwarding

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    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.

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

env0 videos

Infrastructure as Code Automation

More videos:

  • Review - env0 the Self-Service Cloud Management Platform for Infrastructure - About Us
  • Review - Automating Kubernetes clusters with env0
  • Review - Terraform tools review - env0 - Automated provisioning of Terraform workflows (Ep 40)

Category Popularity

0-100% (relative to Plotly and env0)
Data Visualization
100 100%
0% 0
Infrastructure As Code
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and env0

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

env0 Reviews

We have no reviews of env0 yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly should be more popular than env0. 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
View more

env0 mentions (12)

  • Protect Secrets and Passwords with Ansible Vault: A Practical Guide with Examples
    Env0 includes native support for Ansible, enabling you to use your existing playbooks alongside its infrastructure lifecycle management capabilities. With Ansible templates, you can consistently deploy environments while leveraging env0's features like controlled access, cost estimation, and automated deployment flows. Learn more here. - Source: dev.to / over 1 year ago
  • Mastering Ansible Variables: Practical Guide with Examples
    Integrating Ansible with env0 revolutionizes infrastructure management by combining Ansibleโ€™s powerful automation capabilities with env0โ€™s advanced orchestration and collaboration features. This integration simplifies workflows, reduces manual effort, and enhances governance. - Source: dev.to / over 1 year ago
  • DORA Metrics: An Infrastructure as Code Perspective
    Env0 embodies this concept through five key pillars: self-service, governance, automation & orchestration, analytics & monitoring, and cloud asset management. These pillars collectively address the challenges of IaC adoption, ensuring infrastructure meets the needs of modern development teams. - Source: dev.to / over 1 year ago
  • Terraform Refresh Command: Guides, Examples and Best Practices
    With env0โ€™s drift detection and cause analysis features, you do not need to worry about scheduling runs for plan or refresh to continuously monitor your infrastructure or identify potential drifts. Moreover, you will also have additional context to ensure that the drifts are reconciled without causing any unwanted cascading issues across your cloud infrastructure. - Source: dev.to / over 1 year ago
  • Terraform Backend Configuration: Local and Remote Options
    Env0 provides a remote backend  to facilitate secure and streamlined team collaboration, which creates a foundation for a unified deployment process across the organization and enables many other governance, automation, and visibility features. . - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Plotly and env0, you can also consider the following products

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.

Spacelift.io - Collaborative Infrastructure For Modern Software Teams

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Scalr - Scalr is cloud management software for public & private infrastructure

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.

Hashicorp Terraform - Hashicorp Terraform is a tool that collaborate on infrastructure changes to reduce errors and simplify recovery.