Software Alternatives, Accelerators & Startups

Spacelift.io VS Plotly

Compare Spacelift.io VS Plotly and see what are their differences

Spacelift.io logo Spacelift.io

Collaborative Infrastructure For Modern Software Teams

Plotly logo Plotly

Low-Code Data Apps
  • Spacelift.io Landing page
    Landing page //
    2023-08-08

Spacelift is the most flexible management platform for Infrastructure as Code that helps DevOps teams manage their infrastructure-as-code performance for maximum optimization of scaling businesses.

Founded in 2020, Spacelift allows teams to manage complex cloud infrastructures simultaneously, providing visibility and collaboration. Itโ€™s a hybrid of super-specialized, narrowly focused IaC automation tools and very generic CI/CDs like Jenkins or CircleCI. Thanks to Spacelift, teams are able to boost their productivity, automate manual processes, and ensure control and compliance.

Spacelift is the only IaC management solution that extends IaC DevOps to encompass the complete set of IaC frameworks including Terraform, Pulumi, and CloudFormation, with Ansible coming soon. Offering a consolidated approach to IaC is beneficial to engineering teams in large corporations that have been acquiring smaller companies that bring different infrastructures and to smaller but diverse organizations aiming to empower application developers.

We have raised over $22M in funding to advance the automation, control and scalability of infrastructure as code. Among our investors are Insight Partners, Blossom Capital, Hoxton Ventures, Inovo Venture Partners, and the founders of Supercell and Yelp.

  • Plotly Landing page
    Landing page //
    2023-07-31

Spacelift.io features and specs

  • Infrastructure as Code Support
    Spacelift supports popular IaC tools like Terraform, Pulumi, and CloudFormation, facilitating efficient infrastructure management and automation.
  • Scalability
    Spacelift is designed to handle infrastructure of various sizes, allowing for seamless scaling as project demands increase.
  • Policy as Code
    It enables the use of policy as code with customizable policies in Rego, providing security, compliance, and cost control capabilities.
  • Integration Capabilities
    Spacelift provides integrations with major cloud providers, VCS systems, and CI/CD tools, enhancing its extensibility and workflow automation.
  • Collaboration Features
    Offers collaboration tools like team management, approvals, and notifications to improve teamwork and communication among developers.

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.

Analysis of Spacelift.io

Overall verdict

  • Spacelift.io is generally regarded as a good choice for teams looking to streamline their infrastructure management. Its robust feature set, focus on modern DevOps practices, and compatibility with a wide range of tools make it a solid option for businesses and developers managing complex cloud environments.

Why this product is good

  • Spacelift.io is known for its strong DevOps capabilities, focusing on infrastructure as code (IaC) management. It offers features like policy as code, continuous integration and deployment for IaC, and supports tools like Terraform, CloudFormation, Pulumi, and more. The platform is praised for its flexibility, collaboration tools, security measures, and automation capabilities which enhance efficiency and consistency in managing cloud infrastructure.

Recommended for

    Spacelift.io is recommended for DevOps teams, cloud infrastructure engineers, and organizations that are leveraging infrastructure as code practices. It is particularly beneficial for those using multi-cloud strategies or looking for efficient ways to manage and automate their cloud infrastructures with tools like Terraform, CloudFormation, and others.

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.

Spacelift.io videos

Spacelift Introduction

More videos:

  • Review - Infrastructure as Code at scale with Spacelift.io's Marcin Wyszynski [DevOps Deployed Ep 08]

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

Category Popularity

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

Spacelift.io Reviews

Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Spacelift connects to popular VCS providers, including GitHub, GitLab, BitBucket, and Azure DevOps. It integrates with your pull request workflows to allow developers to make infrastructure changes while respecting policies and guardrails enforced by administrators. Spacelift also defends against drift by automatically detecting and remediating unexpected changes in your...
Source: spacelift.io

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.

Social recommendations and mentions

Based on our record, Spacelift.io should be more popular than Plotly. It has been mentiond 130 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.

Spacelift.io mentions (130)

  • Ansible Security Automation
    Spacelift users have native policies to help them check Ansible code at the playbook level. These policies enable you to ensure that specific tasks are not run on private node pools, or you can use an approval policy to confirm everyone on the team is aligned before a change goes live. - Source: dev.to / 7 months ago
  • How to Use Terraform Slice Function [Examples]
    Terraform is really powerful, but to achieve an end-to-end secure GitOps approach, you need to use a product that can run your Terraform workflows. Spacelift takes managing Terraform to the next level by giving you access to a powerful CI/CD workflow and unlocking features such as:. - Source: dev.to / 8 months ago
  • Using Ansible File Module to Manage Files & Directories
    Spacelift's vibrant ecosystem and excellent GitOps flow are helpful for managing and orchestrating Ansible. By introducing Spacelift on top of Ansible, you can easily create custom workflows based on pull requests and apply any necessary compliance checks for your organization. - Source: dev.to / 8 months ago
  • Ask HN: Who is hiring? (November 2025)
    Spacelift | Remote (Europe) | Full-time | Senior Software Engineer | $80k-$110k+ (can go higher) We're a VC-funded startup (recently raised $51M Series C) building an infrastructure orchestrator and collaborative management platform for Infrastructure-as-Code โ€“ from OpenTofu, Terraform, Terragrunt, CloudFormation, Pulumi, Kubernetes, to Ansible. On the backend we're using 100% Go with AWS primitives. We're looking... - Source: Hacker News / 9 months ago
  • 15 Common Kubernetes Pitfalls & Challenges
    Avoid manually administering Kubernetes by integrating cluster operations into your CI/CD and GitOps workflows using a management platform such as Spacelift. Spacelift helps you reduce Kubernetes complexity, synchronize changes between environments, and enforce compliance policies. It works with other infrastructure components, including Terraform and Pulumi, too. - Source: dev.to / 9 months ago
View more

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

What are some alternatives?

When comparing Spacelift.io and Plotly, you can also consider the following products

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

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.

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

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

GitHub Actions - Automate your workflow from idea to production

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.