Software Alternatives, Accelerators & Startups

OSGeo VS Plotly

Compare OSGeo VS Plotly 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.

OSGeo logo OSGeo

QGIS is a desktop geographic information system, or GIS.

Plotly logo Plotly

Low-Code Data Apps
  • OSGeo Landing page
    Landing page //
    2023-09-23
  • Plotly Landing page
    Landing page //
    2023-07-31

OSGeo features and specs

  • Open Source
    QGIS is free to use under the GNU General Public License, allowing users to download, modify, and share the software without cost.
  • Cross-Platform
    QGIS can be installed on multiple operating systems, including Windows, macOS, and Linux, making it accessible to a diverse user base.
  • Extensive Plugin Library
    QGIS has a robust library of plugins that extend its functionality, enabling users to customize the software to meet their specific needs.
  • Active Community
    QGIS has a vibrant global community of users and developers who contribute to its development, documentation, and support forums, ensuring continuous improvement and assistance.
  • Interoperability
    QGIS supports a wide range of file formats and data sources, including vector, raster, and database formats, making it versatile for various GIS tasks.

Possible disadvantages of OSGeo

  • Steep Learning Curve
    QGIS has a complex interface and extensive functions that may be daunting for beginners, requiring substantial time to learn and become proficient.
  • Performance Issues
    For very large datasets and complex analyses, QGIS can experience performance slowdowns, which might affect productivity.
  • Limited Advanced Features
    Compared to some proprietary GIS software, QGIS may lack certain advanced features and tools specific to niche applications or industries.
  • Less Commercial Support
    As an open-source project, QGIS relies on community support which may not be as immediate or comprehensive as the dedicated support services offered by commercial GIS software vendors.
  • Inconsistency in Plugins
    While the extensive plugin library is a strength, not all plugins are maintained consistently, potentially leading to compatibility issues with new QGIS versions.

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 OSGeo

Overall verdict

  • Yes, OSGeo is considered a valuable and influential organization in the geospatial community due to its commitment to promoting openness, collaboration, and high-quality geospatial software.

Why this product is good

  • The Open Source Geospatial Foundation (OSGeo) supports and promotes the collaborative development of open geospatial technologies and data. It is well-regarded for fostering a diverse community around projects like QGIS, GDAL, and PostGIS, which are widely used tools in the geospatial industry. OSGeo provides valuable resources, community forums, and events such as FOSS4G (Free and Open Source Software for Geospatial) that enhance knowledge sharing and innovation.

Recommended for

    OSGeo is highly recommended for GIS professionals, developers, educators, students, and anyone interested in open source geospatial technologies. It is particularly beneficial for those who want to engage with a community-driven platform and contribute to or benefit from a comprehensive suite of open source geospatial tools.

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.

OSGeo videos

QGIS vs ArcGIS

More videos:

  • Review - QGIS User 0020 - New features in QGIS 3.10
  • Review - Comparing ArcGIS Desktop and QGIS

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 OSGeo and Plotly)
Maps
100 100%
0% 0
Data Visualization
0 0%
100% 100
Mapping And GIS
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 OSGeo and Plotly

OSGeo Reviews

Top 7 ArcGIS Alternatives For Your GIS Needs
Free and open-source: QGIS is an open-source GIS platform, which means there are no licensing costs and it is completely free to use. This makes it a feasible GIS option for nonprofits, individuals, and educational institutions with limited budgets. Since it is an open-source platform, a large community of developers continuously updates and enhances it.Active community...
Source: nextbillion.ai
6 Best GIS Software 2024
“I also use the open-source package QGIS occasionally. But despite the fact that Maptitude costs money and QGIS is free, I think Maptitude is the better value when you consider total cost of ownership: it is much easier to use, and the data bundled with the software alone (including a license for the commercial HERE streets data) is worth the price of admission.”
Source: www.caliper.com
5 Best GIS and Mapping Tools for Nature-Based Projects
QGIS is an open-source GIS (Geographic Information System) software that supports a wide variety of vector, raster, and database formats. It is compatible with numerous operating systems and offers extensive features for creating, editing, visualizing, analyzing, and publishing geospatial information. The development of QGIS is community-driven, providing a platform for...
The Top 10 Alternatives to ArcGIS
QGIS is the #1 completely free (& open source!) GIS software solution available right now. We use it daily at Equator as a benchmark for what we do. While not always the most user-friendly solution, QGIS can probably do it if you’re willing to dig deep enough through it’s massive library of menus, functions, and plugins.
27 Differences Between ArcGIS and QGIS – The Most Epic GIS Software Battle in GIS History
6. QGIS have another plugin called QuickMapServices that along side with Open Layers gives you a variety of base maps. Still won’t win ESRI Online; 14. A huge advantage of QGIS is to allow several print compositions in one single project. Also, since version 2.8, each layer can have more than one style, and you can choose what style to use in a particular map; 19. On QGIS...

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.

OSGeo mentions (0)

We have not tracked any mentions of OSGeo yet. Tracking of OSGeo 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 / 2 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 / 4 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 / 6 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 / 12 months 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 OSGeo and Plotly, you can also consider the following products

ArcGIS - ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.

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.

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

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

Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.

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