Software Alternatives, Accelerators & Startups

logit.io VS Plotly

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

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logit.io logo logit.io

Logit.io provides complete observability of logs, metrics and traces. The platform also offers alerting & monitoring, as well as Prometheus, OpenSearch & Grafana. Ingest any type of data to see real-time insights about your applications and services

Plotly logo Plotly

Low-Code Data Apps
  • logit.io Landing page
    Landing page //
    2021-08-11

Centralise logs, metrics and traces into a single platform for observability with Logit.io. The Logit.io platform provides complete data reporting, monitoring and alerting by harnessing the best open source tools including ELK, OpenSearch, Prometheus & Grafana.

As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified, you can rest assured that we uphold the best security standards possible to protect our user’s data and information security interests. The platform can also be used to meet compliance with the Cybersecurity Maturity Model certification for the following ID numbers AU.2.041, AU.2.042, AU.2.044, AU.3.045, AU.3.046, AU.3.048, AU.3.049, AU.3.050, AU.3.051 and AU.3.052.

In addition to this, our platform can also be used to detect and mitigate issues such as Log4Shell CVE-2021-44228.

Whether you need to conduct application performance monitoring, log management, infrastructure monitoring, SIEM, or data visualisation, the Logit.io platform is here to provide a complete platform for data management and analysis.

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

logit.io

Website
logit.io
$ Details
paid Free Trial $0.74 (per GB per day)
Platforms
Ruby Java Python .Net GoLang Log4net Logary Node JS Fastly CloudFront Windows Google Chrome Linux iOS REST API Slack Apache Windows IIS
Release Date
2014 November

logit.io features and specs

  • Retention Period
    365+ days with Enterprise
  • Free Trial
    14-day free trial, no credit card required
  • Grafana
    Unlimited
  • ELK Stack
    Unlimited
  • Logs Per Day
    2GB - 15TB+ with Enterprise
  • Users
    Unlimited
  • Search and Filtering
  • Stack Version Management
  • Logging
  • Metrics
  • Elasticsearch Cluster
  • Logstash
  • Kibana
  • Custom Visualisations and Dashboards
  • Saved Searches
  • Integrations (Slack, Pagerduty, etc)
  • Preconfigured Log/Metric Collection
  • Custom Log/Metric Collection
  • Auto-scaling
  • Over-usage Protection
  • Preconfigured Logstash Parsing
  • Two Factor Authentication (2FA)
  • Role Based Access Control
  • Audit Log
  • Help Centre

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 logit.io

Overall verdict

  • Logit.io is a solid choice for organizations looking for a reliable log management service, especially those that appreciate flexibility with open-source tools like ELK Stack. Its features and capabilities align well with current industry needs, making it a competitive option in the log management space.

Why this product is good

  • Logit.io is considered good because it offers a comprehensive log management and analysis platform that supports multiple technologies, including ELK Stack and Grafana. It provides valuable insights through data visualization, alerting, and reporting, making it easier to monitor application and infrastructure performance in real-time. Its ease of use, scalability, customizability, and support for various data sources also contribute to its positive reputation.

Recommended for

    Logit.io is recommended for businesses and organizations that require robust log management solutions, developers and IT teams who want to leverage open-source tools without managing the infrastructure themselves, and enterprises that need scalable and flexible log analysis to enhance their operational efficiency.

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.

logit.io videos

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Add video

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 logit.io and Plotly)
Monitoring Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Log Management
100 100%
0% 0
Data Dashboard
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 logit.io and Plotly

logit.io Reviews

The Top 14 Free and Open Source SIEM Tools For 2022
SIEM as a Service is Logit.io’s managed offering providing all of the key components required for organisations to secure their operations at one of the most affordable rates in the industry.
Source: logit.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 that’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, Plotly seems to be more popular. It has been mentiond 33 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.

logit.io mentions (0)

We have not tracked any mentions of logit.io yet. Tracking of logit.io recommendations started around Mar 2021.

Plotly mentions (33)

  • 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 / 3 months 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 / 5 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / 7 months 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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

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Papertrail - Frustration-free log management. Get started in seconds.

Chart.js - Easy, object oriented client side graphs for designers and developers.

NinjaOne - NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools.

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