Software Alternatives, Accelerators & Startups
Register | Login

OpenStreetMap VS Matplotlib

Compare OpenStreetMap VS Matplotlib and see what are their differences

Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

OpenStreetMap logo OpenStreetMap

OpenStreetMap is a map of the world, created by people like you and free to use under an open license.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • OpenStreetMap Cover Photo
    Cover Photo //
    2024-01-08
  • Matplotlib Landing page
    Landing page //
    2023-06-14

OpenStreetMap features and specs

  • Open Source
    OpenStreetMap (OSM) is an open-source project, allowing free access to map data and the ability to contribute and modify the maps. This encourages widespread collaboration and innovation.
  • Up-to-date Information
    Due to its large community of contributors, OSM often has up-to-date and detailed information, especially in urban areas. Users can quickly add new roads, businesses, and other updates.
  • Customization
    Users have the flexibility to customize maps for specific needs, such as creating specialized maps for hiking, cycling, or public transportation.
  • Global Coverage
    OSM offers extensive global coverage, which can be especially useful in regions where commercial map services might be limited or outdated.
  • Ethical and Transparent
    Being community-driven and open, OSM provides a more ethical choice compared to commercial alternatives that may have hidden data collection practices.

Possible disadvantages of OpenStreetMap

  • Data Quality Variability
    The quality and detail of the data can vary significantly between different regions depending on the number and expertise of local contributors.
  • Learning Curve
    For new users, especially those unfamiliar with GIS (Geographic Information System) concepts, there can be a learning curve to effectively use and contribute to OSM.
  • Lack of Professional Support
    Unlike commercial map services, OSM does not offer professional customer support, which can be a disadvantage for businesses requiring reliable assistance.
  • Potential for Inaccuracies
    As a crowd-sourced project, there is a potential for inaccuracies or vandalism, which might not be immediately corrected.
  • Performance
    Some users may experience slower performance when loading large datasets or using complex features, due to reliance on third-party servers and tools.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of OpenStreetMap

Overall verdict

  • OpenStreetMap is widely regarded as a valuable resource due to its open-data approach, community-driven updates, and versatility. It is an excellent choice for those who need customizable, up-to-date maps and prefer open-source solutions.

Why this product is good

  • OpenStreetMap (OSM) is good because it is a collaborative project that provides freely accessible and editable map data. It is powered by a large community of volunteers who continually update and refine the information, ensuring that it remains current and comprehensive. The data from OSM can be used for various applications such as navigation, analysis, and even gaming, thanks to its open licensing (ODbL). It encourages innovation and accessibility, allowing developers and organizations to create and customize maps without the restrictions typically associated with proprietary alternatives.

Recommended for

  • Developers seeking open-source map data for applications
  • Organizations looking for customizable and cost-effective mapping solutions
  • Individuals interested in contributing to open data projects
  • Researchers conducting spatial analysis
  • Anyone needing access to worldwide map data without licensing fees

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

OpenStreetMap videos

+ Add

OpenStreetMap: The map that saves lives | CNBC International

More videos:

  • Review - Switching away from Google Maps : Here Maps, Bing Maps, OpenStreetMap...
  • Review - OpenStreetMap Download / Installation On Garmin Edge 520 GPS Device. Bike Computer

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to OpenStreetMap and Matplotlib)

OpenStreetMap

Matplotlib

Maps
100 100%
Maps
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Mapping
100 100%
Web Mapping
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using OpenStreetMap and Matplotlib. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

OpenStreetMap Reviews

7 Alternatives to Google Maps for Navigation
OpenStreetMap (OSM) is a free, open-source, community-driven mapping and navigation app. OSM was created in 2005. It has grown to include a global mapping community with activists and thousands of volunteers.
Source: gisgeography.com
18 Top Google Places API Alternatives for Points of Interest Data in 2022
OpenStreetMap offers a free, open-source map of the world with which you can access information about businesses, transport and points of interest. Planet OSM is a feature of OpenStreetMap that lets you extract millions of points of interest for free.
Source: traveltime.com
Top 15 Google Maps Alternatives (2024 Edition)
Maps.me is an open-source mobile-only service and an excellent alternative to Google Maps. It uses the OpenStreetMap database and helps you download maps to use them offline. Therefore, you can save a lot on your mobile data if you use this service.
Source: blog.route4me.com
9 Google Maps Alternatives to Use in 2022
OpenStreetMap is a simple web mapping tool stuffed with all the features you would expect with any web mapping service. The vivid maps explain different layers, help in accurate route planning, and provide cycling and walking routes.
Source: geekflare.com
Top 5 Open-Source Google Maps Alternatives in 2022
Last but not least, Qwant Map is one of those Google Maps alternatives that is open source and free. Just like Google Maps, this interactive maps software offers rich search capabilities. In addition, you can search for places such as restaurants, hotels, markets, and more. Moreover, it lets you search for nearby places by tracking your location. Qwant Map is based on...
Source: blog.containerize.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

OpenStreetMap might be a bit more popular than Matplotlib. We know about 130 links to it since March 2021 and only 114 links to Matplotlib. 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.

OpenStreetMap mentions (130)

  • Rekichizu: A Modern Take on Japan's Historical Maps
    Finally, to ensure a visually harmonious experience, the design of the integrated modern map, which utilizes OpenStreetMap (OSM) data, has been carefully styled to match the aesthetic and color palette of the original Rekichizu historical map. - Source: dev.to / 8 months ago
  • Waterway Map
    You can go to https://openstreetmap.org/ , zoom in and enable the map data layer. From there history is accessible. - Source: Hacker News / over 2 years ago
  • Bike rack capacity
    Hi! I am working on a project mapping bike racks around my city on OpenStreetMap. One of the attributes that I tag is the rack's capacity, but I haven't come to a conclusion about the capacity of these wave-shaped racks:. Source: over 2 years ago
  • Get full name of a admin unit in a admin unit hierarchy like Brooklyn, Kings County, New York, United States of America
    I need the bounding boxes of all adminstrative units in a specific region from the largest (e.g. The state) to the smallest (whatever this is called) including the full name of the district. What I mean by that is what is displayed on openstreetmap.org when I search for e.g. Brooklyn: it will be displayed in the search results as "Brooklyn, Kings County, New York, United States of America" โ€“ the names joined from... Source: over 2 years ago
  • Protomaps โ€“ A free and open source map of the world
    It's OpenStreetMap (ODbL) and Natural Earth (public domain) currently * http://openstreetmap.org * http://naturalearthdata.com. - Source: Hacker News / over 2 years ago
View more

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing OpenStreetMap and Matplotlib, you can also consider the following products

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

HERE WeGo - HERE WeGo - Maps - Routes - Directions - All ways from A to B in one

NumPy - NumPy is the fundamental package for scientific computing with Python

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.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Loading...