Software Alternatives, Accelerators & Startups

Smarty VS Matplotlib

Compare Smarty VS Matplotlib 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.

Smarty logo Smarty

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

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Smarty Landing page
    Landing page //
    2023-04-21

Smarty is simply the best solution for USPS, US and International Address Validation. From our APIs, to our list-processing tools, we have an address validation solution for you.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Smarty

Website
smarty.com
$ Details
freemium
Platforms
REST API ASP.NET API Generic HTTP API Web JavaScript PHP Java Python Ruby Go iOS Android Cloud
Release Date
2011 August

Smarty features and specs

  • Affordability
    Smarty offers competitively priced plans that provide cost-effective mobile and data services without breaking the bank.
  • Flexible Plans
    Smarty provides a variety of flexible plans, including options with unlimited data, which can be tailored to individual needs and usage patterns.
  • No Credit Check
    Smarty does not require a credit check for signing up, making it accessible to a wider range of customers.
  • Unlimited Calls and Texts
    Most plans include unlimited calls and texts, adding significant value for users who frequently communicate via phone.
  • Data Roll-Over
    Unused data is rolled over into the next month, ensuring that you get the full value of what you pay for.
  • Fast 5G Network
    Smarty offers access to a high-speed 5G network, providing fast and reliable internet connectivity.

Possible disadvantages of Smarty

  • Limited Coverage
    Despite operating on a major network, Smarty's coverage can be limited in rural or extremely remote areas.
  • Customer Support
    Customer support options are limited, and some users report slow response times or difficulty in resolving issues.
  • No Handset Bundles
    Smarty does not offer handset bundles, meaning users need to purchase their devices separately.
  • International Roaming
    International roaming options are limited, potentially making it less suitable for frequent travelers.
  • No Priority Network Access
    Smarty customers may not get priority on the network during peak times, potentially leading to slower speeds in congested areas.
  • Limited Value-Added Services
    Smarty focuses primarily on mobile and data services, so it lacks some of the value-added services that competitors may offer, such as bundled streaming subscriptions.

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 Smarty

Overall verdict

  • Overall, Smarty is considered a good choice for businesses looking to improve their address data management. The company consistently receives positive reviews for its accuracy, support, and value for money.

Why this product is good

  • Smarty (smarty.com) is a reputable company known for its address verification and validation services, which are trusted by businesses for improving data quality, reducing undeliverable mail, and enhancing customer communication. Their solutions are easy to integrate, scalable, and supported by robust infrastructure, making them reliable for both small businesses and large enterprises. They also offer international support, ensuring accuracy beyond just local postal systems.

Recommended for

  • E-commerce businesses that require accurate shipping addresses.
  • Enterprises looking to improve customer data quality.
  • Organizations needing international address verification.
  • Developers seeking integration-friendly address validation APIs.
  • Companies aiming to reduce undeliverable mail and related costs.

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.

Smarty videos

No Smarty videos yet. You could help us improve this page by suggesting one.

Add video

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Smarty and Matplotlib)
Shipping
100 100%
0% 0
Data Science And Machine Learning
Address Verification API
100 100%
0% 0
Technical Computing
0 0%
100% 100

User comments

Share your experience with using Smarty 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 Smarty and Matplotlib

Smarty Reviews

We have no reviews of Smarty yet.
Be the first one to post

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.
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.
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.
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...

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Smarty. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of Smarty. 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.

Smarty mentions (5)

  • International addy formatting
    There are online formatters like smartystreets.com which can validate and format your international address. Is this what you are looking for? Source: almost 5 years ago
  • I've figured out an elegant solution to those sneaker botters
    What I've noticed after watching those sneaker botting videos is that they can make as many emails, proxies and debit cars numbers as they want but.... Not addresses. According to this video they mix up the way their address are written which somehow fools their system into thinking there aren't repeats even though the shoes some how end up at the same address. What these sites really need is a third party service... Source: over 5 years ago
  • AT&T is literally out of their mind.
    At one point they used SmartyStreets to validate your address and if it thinks your duplex and your neighbor is the same house, they'll be treated as one so you cannot get fiber now. Source: over 5 years ago
  • Free/ trial geocoding service for ~500k points?
    You can give smartystreets.com a try however for that many records it might cost you just a bit. Source: over 5 years ago
  • GIS Sources by State
    A good source that is free in small quantities for all states and in the world: smartystreets.com. Source: over 5 years ago

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 Smarty and Matplotlib, you can also consider the following products

UltraShipTMS - UltraShipTMS is a feature-rich comprehensive web-based transportation logistics automation software designed to serve high volume shippers.

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

FreightPOP - FreightPOP is a mobile and web application created to fill an underserved market of SMB shippers.

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

GetSwift - Simple software streamlining your whole delivery business

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