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Seaborn VS ZIP Code API

Compare Seaborn VS ZIP Code API and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Seaborn logo Seaborn

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

ZIP Code API logo ZIP Code API

REST API for US ZIP, ZIP+4, and Canadian postal codes. Single unified endpoint covers address validation and standardization, radius search (centroid haversine and true spatial polygon intersection), point-to-point distance, autocomplete/typeah
  • Seaborn Landing page
    Landing page //
    2023-10-20
  • ZIP Code API Landing page
    Landing page //
    2026-05-21

API for US ZIP, ZIP+4, and Canadian postal code data. One unified endpoint set covers North America โ€” no separate APIs by country or data type.

What it does

  • Address validation and standardization โ€” production-grade parser with ZIP+4 append, refreshed monthly
  • Radius search โ€” centroid haversine and true spatial polygon intersection. Returns ZIPs/FSAs within range, with per-result pct_inside overlap percentage for spatial queries
  • Unified lookup endpoint โ€” accepts US ZIP, ZIP+4, Canadian FSA, full Canadian postal codes, or latitude/longitude inputs
  • Autocomplete/typeahead โ€” cities, counties, metros, states, FSAs, ZIPs
  • Point-to-point distance โ€” between any two postal points
  • Census ACS demographics โ€” 2011โ€“2024, 542 fields per ZIP across income, education, housing, social, and economic profiles
  • Boundary lookups โ€” Census tracts, congressional districts, state legislative areas, school districts โ€” with computed intersection percentages per ZIP

What makes it different

  • Licensed commercial data โ€” not commodity or scraped sources
  • Canadian postal coverage โ€” most peers in this space are US-only
  • True spatial radius โ€” not just centroid haversine
  • 14 years of historical ACS depth via API โ€” unusual outside of raw Census downloads
  • One endpoint for all of North America โ€” no country-detection or input-routing logic to maintain on the client side

Pricing

  • Free โ€” 2,500 lookups/day, no credit card required, no expiry
  • Developer โ€” $49/mo, 100K credits, 300/min
  • Professional โ€” $149/mo, 350K credits, 300/min
  • Business โ€” $499/mo, 1.5M credits, 600/min
  • Credit packs โ€” one-time, from 25K ($19) up to 2M ($799)

Resources

Seaborn features and specs

  • High-Level Interface
    Seaborn provides a high-level interface for drawing attractive statistical graphics, simplifying the process of creating complex plots with just a few lines of code.
  • Integration with Pandas
    Seaborn automatically works well with Pandas data structures, making it easy to visualize data directly from DataFrames without additional data manipulation.
  • Built-in Themes
    Seaborn offers built-in themes and color palettes that allow users to quickly improve the aesthetics of their plots, making them more appealing and informative.
  • Statistical Plotting
    Seaborn includes a wide array of statistical plots like heatmaps, violin plots, and box plots, which help in understanding data distribution and relationships.
  • Customization
    It provides extensive options for customizing plots, giving users the flexibility to tailor their visualizations to specific needs and preferences.

Possible disadvantages of Seaborn

  • Dependence on Matplotlib
    Seaborn is built on top of Matplotlib, and users may need to understand Matplotlib to handle more intricate customizations that Seaborn does not directly support.
  • Learning Curve
    While Seaborn simplifies plotting, there is still a learning curve involved, especially for users unfamiliar with statistical data visualization.
  • Limited Interactivity
    Seaborn primarily generates static plots, which may not provide the level of interactivity required for dynamic data exploration compared to other tools such as Plotly or Bokeh.
  • Performance
    For very large datasets, Seaborn may become slow, and performance can be an issue compared to more optimized visualization libraries.
  • 3D Plotting Support
    Seaborn does not natively support 3D plotting, limiting its use for visualizations that require three-dimensional data representation.

ZIP Code API features and specs

  • Comprehensive ZIP Code Data
    The ZIP Code API from zip-codes.com provides extensive data including ZIP code details, city information, state data, and geographic coordinates, making it a thorough resource for location-based lookups.
  • Multiple Lookup Options
    The API supports various types of lookups including ZIP code to city/state, city/state to ZIP code, distance calculations between ZIP codes, and radius searches, offering flexible querying capabilities.
  • Easy Integration
    The API uses standard REST-based HTTP requests and returns data in commonly used formats like JSON and XML, making it straightforward to integrate into most applications and programming languages.
  • Distance and Radius Calculations
    The API includes built-in functionality for calculating distances between ZIP codes and finding ZIP codes within a specified radius, which is valuable for store locators, shipping estimates, and proximity-based features.
  • Well-Documented Endpoints
    The API provides clear documentation for its various endpoints and parameters, helping developers understand available features and implement them correctly without extensive trial and error.

Analysis of ZIP Code API

Overall verdict

  • ZIP Code API from zip-codes.com is a solid, reliable choice for developers and businesses needing accurate US and Canadian postal code data, offering a straightforward RESTful interface with regularly updated databases.

Why this product is good

  • Provides accurate and frequently updated ZIP code, city, state, and geographic data
  • Offers a simple RESTful API that is easy to integrate into web and mobile applications
  • Supports features like ZIP code lookup, radius search, and distance calculations
  • Includes both US ZIP codes and Canadian postal codes for broader coverage
  • Backed by an established data provider with a long track record in postal data

Recommended for

  • Developers building address validation or autofill features
  • E-commerce platforms needing shipping and location-based calculations
  • Businesses performing geographic or radius-based store locators
  • Applications requiring reliable US and Canadian postal data
  • Marketing and logistics teams that need regional or demographic targeting

Seaborn videos

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Seaborn Review

ZIP Code API videos

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Category Popularity

0-100% (relative to Seaborn and ZIP Code API)

Seaborn

ZIP Code API

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Zip Lookup
0 0%
Zip Lookup
100% 100
Development
100 100%
Development
0% 0
APIs
0 0%
APIs
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 Seaborn and ZIP Code API

Seaborn Reviews

5 Best Python Libraries For Data Visualization in 2023
Seaborn is working hard to make visualization a central part of understanding and exploring data. Its dataset-oriented plotting functions run on data frames carrying whole datasets. Seaborn internally performs the necessary semantic mapping and statistical aggregation to provide informative plots. Lastly, Seaborn is fully integrated with the PyData stack including support...
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Seaborn is a Python data visualization library that is based on Matplotlib and closely integrated with the NumPy and pandas data structures. Seaborn has various dataset-oriented plotting functions that operate on data frames and arrays that have whole datasets within them. Then it internally performs the necessary statistical aggregation and mapping functions to create...
Source: www.geeksforgeeks.org

ZIP Code API Reviews

We have no reviews of ZIP Code API yet.
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Social recommendations and mentions

Based on our record, Seaborn seems to be more popular. It has been mentiond 37 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.

Seaborn mentions (37)

  • How I Hacked Uberโ€™s Hidden API to Download 4379 Rides
    Below are the key insights. If you want to see the Python code I used to do this analysis and generate the charts using Seaborn, you can find my full analysis Jupyter notebook on my Github repo here: Tip Analysis.ipynb. - Source: dev.to / over 1 year ago
  • Scientific Visualization: Python and Matplotlib, by Nicolas Rougier
    Additionally, Seaborn (https://seaborn.pydata.org/) is a great mention for people that want to use Matplotlib with better default aesthetics, amongst other conveniences: "Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.". - Source: Hacker News / almost 2 years ago
  • Data Visualisation Basics
    Seaborn: built on top of matplotlib, adds a number of functions to make common statistical visualizations easier to generate. - Source: dev.to / almost 2 years ago
  • Useful Python Libraries for AI/ML
    Pandas - The standard data analysis and manipulation tool Numpy - scientific computing library Seaborn - statistical data visualization Sklearn - basic machine learning and predictive analysis CausalML - a suite of uplift modeling and causal inference methods PyTorch - professional deep learning framework PivotTablejs - Dragโ€™nโ€™drop Pivot Tables and Charts for Jupyter/IPython Notebook LazyPredict - build... - Source: dev.to / almost 2 years 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
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ZIP Code API mentions (0)

We have not tracked any mentions of ZIP Code API yet. Tracking of ZIP Code API recommendations started around May 2026.

What are some alternatives?

When comparing Seaborn and ZIP Code API, you can also consider the following products

Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Smarty - Smarty provides address validation, autocomplete, geocoding and reverse geocoding services covering addresses in over 240+ countries.

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

Zipcodestack - Free Zip Code API - Free Postal Code Validation | Zipcodestack

Quantopian - Your algorithmic investing platform

PostalDataPI - The most affordable postal code API. 240+ countries, sub-5 ms responses. Simple, elegant, transparent.

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