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Arc.dev VS Matplotlib

Compare Arc.dev VS Matplotlib and see what are their differences

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

Arc.dev logo Arc.dev

Arc is the remote career platform helping developers build amazing careers from anywhere. Find thousands of top remote developer jobs online all in one place!

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Arc.dev Landing page
    Landing page //
    2023-09-07
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Arc.dev features and specs

  • Quality Talent
    Arc.dev screens and vets developers, ensuring high-quality talent is available for hire.
  • Remote Focused
    The platform is designed specifically for remote work, which is increasingly relevant in today's job market.
  • Flexible Hiring
    Arc.dev offers flexible hiring options, including full-time, part-time, and contract roles.
  • Global Reach
    Employers have access to a global pool of developers, providing a broader range of skills and expertise.
  • Hiring Assistance
    Arc.dev provides dedicated hiring consultants to help match employers with the right developers.
  • Community and Resources
    Developers have access to a supportive community and resources to help them grow their careers.

Possible disadvantages of Arc.dev

  • Cost
    Hiring through Arc.dev can be more expensive than other platforms, given the quality and vetting process involved.
  • Niche Market
    The platform primarily caters to tech and development roles, which may not be suitable for companies looking for a wider range of skill sets.
  • Vetting Process Delay
    The thorough vetting process can sometimes lead to delays in hiring, which may not suit urgent hiring needs.
  • Geographical Constraints
    While remote work is emphasized, certain employers might face challenges with time zone differences.
  • Platform Fee
    Arc.dev charges a platform fee, which might be a barrier for startups or small businesses with limited budgets.
  • Limited User Control
    Employers might find the process less flexible compared to directly hiring through other platforms, due to the involvement of hiring consultants.

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 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.

Arc.dev videos

+ Add

Remote Work For Developers | Why I Invested In Arc.Dev on Wefunder (YC Startup)

More videos:

  • Review - ARC.DEV (FKA CODEMENTORX) REVIEW: ALTERNATIVES AND COMPETITORS FOR 2020
  • Review - Arc 2.0 - The Easiest Way to Find Remote Developer Jobs | Arc.dev

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Arc.dev and Matplotlib)

Arc.dev

Matplotlib

Remote Jobs
100 100%
Remote Jobs
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Job Boards
100 100%
Job Boards
0% 0
Technical Computing
0 0%
Technical Computing
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 Arc.dev and Matplotlib

Arc.dev Reviews

Comparing Andela, Turing, Toptal, Micro1, Arc.dev, and Wajusoft
When comparing these platforms, several key features stand out. Andela and Turing provide access to a large talent pool of vetted developers. Toptal, Arc.dev and micro1 offer specialized expertise and agile development practices, respectively. Wajusoft excels in flexibility in team scaling and tailored solutions.
Source: www.wajusoft.com
Top 10 Websites to Find Remote Jobs
Who Should Sign UpโญArc caters to a wide range of experience levels. Newbies can benefit from career guidance and skill-building resources, while experienced developers will find a curated selection of high-quality remote positions from top companies.
Source: blog.tmetric.com
Best Freelancer.com Alternatives For Hiring Developers
Arc.dev uses a strict vetting process like other top-rated online marketplaces. It utilizes various assessment tools to ensure its freelancers are of the highest quality. Unlike Freelancer, where you can hire freelancers for the long and short term, Arc.dev focuses on helping companies hire full-time and long-term remote-working developers. The platform ensures all parties...
Source: www.ideamotive.co
Forget LinkedIn: The Top 10 Remote Work Alternatives for Landing Your Dream Tech Job Remotely
Arc: Leveraging AI, Arc is a global remote jobs marketplace connecting companies with talented software developers.
Source: dev.to

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 should be more popular than Arc.dev. It has been mentiond 114 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.

Arc.dev mentions (22)

  • Top 7 Remote Job Boards for Software Engineers (No "Fake Remote" BS)
    Arc flips the traditional job search model. Itโ€™s an exclusive network primarily aimed at senior developers. - Source: dev.to / 3 months ago
  • Which Hiring Platforms Offer Risk-Free Trials for ReactJS Developers?
    Arc.dev offers companies both full-time and freelance recruiting options for qualified ReactJS engineers. They provide a two-week risk-free trial so businesses can evaluate the developer's abilities and suitability. Businesses can stop operating without incurring any costs if they are not happy. - Source: dev.to / over 1 year ago
  • Best Websites to Hire Remote Software Developers in USA
    Arc.dev Arc.dev specializes in connecting companies with remote developers, designers, and marketers. With a focus on quality, Arc.dev provides access to vetted candidates with domain expertise and English fluency. The platform's unique approach to candidate matching saves time and ensures you find the right fit quickly. - Source: dev.to / almost 2 years ago
  • Just Moved to Vienna
    Hallo Leute aus ร–sterreich! I just made my move to Wien, finally. I am offering my Software Engineering Consulting Services and/or Digital Product Management services to anyone who wants to launch an MVP in the digital space in a short manner, or join/lead a small team. Enterprise-grade stuff (I am ex-IBM CIO), no shady businesses, US entity. My profile: https://arc.dev/@arpad Before going into the Software space... - Source: Hacker News / over 2 years ago
  • ๐Ÿ’ผ 50 Tips to Land a Remote Tech Job Based on My 45-Day Journey to 2 Offers
    To be honest, it's another rabbit hole. In my whole experience history with these job platforms, I can 100% backup G2i as I got a dream job there and Toptal, Lemon.io, Turing, and Arc.dev are fine but people have different opinions about them, sometimes they want to charge you a lot, sometimes there is a lack of jobs, etc. It's a thing to consider, but hear this out. - Source: dev.to / 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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

What are some alternatives?

When comparing Arc.dev and Matplotlib, you can also consider the following products

Flexiple - Flexiple helps companies work with top tech talent within 48 hours to 7 days. Our talent are handpicked through a rigorous screening process and are alumni from top tech companies such as Amazon, Adobe, Microsoft, amongst others.

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

Toptal - Hire the Top 3% of Freelance Talentยฎ. Toptal is an exclusive network of the top freelance software developers, designers, finance experts, product managers, and project managers in the world.

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

Upwork - Forget the old rules. You can have the best people. Right now. Right here.

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

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