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Truecaller VS Matplotlib

Compare Truecaller VS Matplotlib and see what are their differences

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

Truecaller logo Truecaller

Find a person by a name or phone number worldwide for free using Truecaller.

Matplotlib logo Matplotlib

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

Truecaller

Website
truecaller.com
$ Details
-
Release Date
2009 January
Startup details
Country
Sweden
State
Stockholms Lan
City
Stockholm
Founder(s)
Alan Mamedi
Employees
50 - 99
Edit details

Matplotlib

Website
matplotlib.org
$ Details
Release Date
-
Edit details

Truecaller features and specs

  • Caller Identification
    Truecaller identifies unknown numbers and displays the caller's information based on a large database, helping users avoid spam or unwanted calls.
  • Spam Detection
    The app blocks spam calls and messages, reducing the inconvenience of dealing with telemarketers and scammers.
  • Call and SMS Filtering
    Truecaller offers filtering options for both calls and SMS, allowing users to manage and prioritize their communications effectively.
  • User-Generated Database
    The database is updated by user contributions, which means it continuously improves and includes a wide variety of numbers from around the world.
  • Additional Features
    Truecaller includes additional features such as call recording, flash messaging, and contact backup, adding extra value to the user experience.

Possible disadvantages of Truecaller

  • Privacy Concerns
    The app requires access to the user's contacts, which raises privacy issues as this data is uploaded to Truecaller's database.
  • Data Usage
    Constantly updating the database and identifying calls can consume a significant amount of mobile data.
  • Battery Drain
    Running in the background to monitor and block calls can lead to additional battery consumption.
  • False Positives
    Occasionally, legitimate calls may be mistakenly identified as spam, which can lead to missed important calls.
  • In-App Advertisements
    The free version of the app includes advertisements, which can be intrusive and detract from the user experience.

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 Truecaller

Overall verdict

  • Truecaller is generally considered a good service for users seeking to avoid spam calls and improve their call management. However, some privacy concerns have been raised, as the app requires access to contacts and other personal information to function effectively.

Why this product is good

  • Truecaller is widely regarded as a useful tool for managing incoming calls and identifying unknown numbers. It helps in filtering spam calls and messages, provides information about unknown phone numbers, and offers features such as call recording and contact management. Its large user base contributes to a comprehensive database, enhancing its effectiveness in identifying potential spam and fraudulent calls.

Recommended for

    Truecaller is recommended for individuals who receive a high volume of spam or unknown calls, professionals who need efficient call management, and those who prioritize the identification of incoming call sources. Users who are comfortable sharing their contact information with the app to leverage its full functionality may find it particularly beneficial.

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.

Truecaller videos

+ Add

Truecaller | App Review

More videos:

  • Review - Is TrueCaller Worth it? | iOS Android | IRS Spammer | App Review
  • Review - How TrueCaller Works? Crowd Sourcing?

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Truecaller and Matplotlib)

Truecaller

Matplotlib

Call Management
100 100%
Call Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Caller ID
100 100%
Caller ID
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using Truecaller and Matplotlib. For example, how are they different and which one is better?
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Reviews

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

Truecaller Reviews

9 Best Truecaller Alternatives โ€“ 2022
Apart from Truecaller collects way too much data about the users and the security they offer isnโ€™t really top notch. Therefore, here are the 9 best TrueCaller alternatives.
Source: www.techmediatoday.com
Top 10 Truecaller Alternatives You Can Use
When Truecaller launched, it was one of the first apps to bring universal caller ID services to smartphones, and I loved using the service. However, over the years Truecaller has become too bloated. The app is one of the biggest culprits behind background battery drainage in a smartphone. I also donโ€™t like the fact that the service collects too much data about my calls and...
Source: beebom.com
10 Best Truecaller Alternatives For Android in 2022
There are plenty of caller ID and call blocker apps available for Android smartphones. However, if I had to pick anyone, I would choose the TrueCaller app. TrueCaller is one of the best caller ID and call blocker apps available for Android smartphones on the Play Store.
Source: techviral.net

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

Based on our record, Matplotlib seems to be a lot more popular than Truecaller. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of Truecaller. 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.

Truecaller mentions (2)

  • Is there a service I can buy or something to do about solicitor calls
    Unfortunately, looks like every truecaller bot's been suspended. But you can always just use truecaller.com, their actual site. it's a bit tedious, but works just fine and a loot less annoying than spam calls. Source: about 3 years ago
  • This is a new one for me. I just received 3 spam calls one after the other.
    It would be awesome if you guys could install and the report these numbers on ScamShield [https://scamshield.org.sg]. Sadly iOS only for now. Alternatively I also use TrueCaller on Android [https://truecaller.com]. Normally I pick up the calls and let the recordings play until they auto hang up around 58-59s (probably get billed after that or something). Now the calls I get are all under 30s and yes I also saw a... Source: almost 4 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 / 7 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
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What are some alternatives?

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

CallApp - Free Caller ID & Call Blocker app that allows mobile users to block phone calls, identify calls, blacklist unwanted callers and much more.

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

WhosCall - WhosCall is a reliable caller ID app whose popularity has led to its adoption by many users including international media. You can now manage the numbers calling you regardless of whether they are part of your contact list or not... read more.

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

CallerSmart - CallerSmart is an application that is basically used for the purpose of looking up mystery phone numbers for free.

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

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