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Guru VS Matplotlib

Compare Guru VS Matplotlib and see what are their differences

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Guru logo Guru

Guru makes it easy for employers and freelancers to connect, collaborate and get work done flexibly and securely. Browse 1. 5 million freelancers for hire and thousands of projects.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Guru Landing page
    Landing page //
    2021-12-13
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Guru features and specs

  • Wide Range of Freelancers
    Guru has a large database of freelancers across various fields, making it easier to find the right talent for any specific project.
  • Payment Protection
    Guru offers a SafePay service that holds funds securely, ensuring that both employers and freelancers are protected during the transaction process.
  • Flexible Payment Options
    Guru allows employers to choose from multiple payment methods and scheduling options such as hourly, milestone-based, and recurring payments.
  • Workroom Feature
    Guru provides a Workroom where employers and freelancers can manage their projects, communicate, share files, and track progress efficiently.
  • Cost-Effective
    Guru charges relatively lower fees compared to some other freelancing platforms, making it a cost-effective option for both employers and freelancers.

Possible disadvantages of Guru

  • Website Downtime
    As indicated by the site down page, Guru may experience occasional website downtimes, which can disrupt access to services and communication.
  • User Interface
    Some users find Guru's user interface less intuitive and harder to navigate compared to other freelance platforms.
  • Limited Customer Support
    Users have reported that Guru's customer support can be slow to respond and less helpful, which can be frustrating during urgent issues.
  • Service Fees
    While it's generally cost-effective, Guru still charges service fees which can accumulate, especially for freelancers who deal with multiple small projects.
  • Quality Variability
    With such a wide pool of freelancers, the quality of work can vary significantly, making it necessary for employers to thoroughly vet candidates.

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 Guru

Overall verdict

  • Guru.com is considered a good platform for freelancers and clients looking for reliable project-based work. It provides various tools and resources to support project management and ensure successful collaborations. However, like any platform, it has its share of limitations, such as competition and service fees.

Why this product is good

  • Guru.com is a reputable freelancing platform that connects freelancers with clients across a wide range of industries. It is known for its user-friendly interface, flexible payment options, and diverse job categories. The platform offers a secure workroom environment for communication and file sharing, facilitating smooth collaboration between clients and freelancers.

Recommended for

    Guru is recommended for freelancers seeking flexible work opportunities in fields such as writing, graphic design, programming, and digital marketing. It's also suitable for clients looking for skilled professionals to complete short-term or long-term projects.

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.

Guru videos

How To Get Clients EASILY on Guru.com (Step-By-Step Method for Freelance Websites)

More videos:

  • Review - Guru.com review video

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Guru and Matplotlib)
Freelance Marketplace
100 100%
0% 0
Data Science And Machine Learning
Work Marketplace
100 100%
0% 0
Technical Computing
0 0%
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 Guru and Matplotlib

Guru Reviews

The 10 Best Alternatives to Upwork
Guru offers several advantages over Upwork that make it a preferred choice for freelancers and businesses alike. With its secure payment system, flexible payment options, and collaborative WorkRooms, Guru provides a streamlined and efficient platform for freelancers and clients to work together seamlessly.
Source: www.twine.net
UPWORK ALTERNATIVES: THE 10 BEST PLATFORMS FOR FINDING FREELANCERS
Guru caters to freelancers with diverse skills and expertise by offering a wide range of project categories. Whether freelancers specialize in writing, design, programming, marketing, or other fields, they can find relevant opportunities on Guru.
Source: medium.com
Top 10 free Websites to find Remote Job
Guru is a freelance marketplace that connects employers with freelancers for various projects, including remote jobs. It provides a platform for freelancers to find remote job opportunities, collaborate with clients, and receive payment, making it a useful resource for individuals seeking remote work.
Top Sites Like Fiverr โ€“ The Best Alternatives For Freelancers in 2022
It is one of the best Fiverr competitors that gives an easy way to get contacted by potential employers. This platform posts a massive amount of jobs every day. Guru deducts 5% to 9% payment you got after successfully completing a task.
9 Best Upwork Alternatives
Guru offers access to over 3 million freelancers from around the world. You can hire experienced freelancers for anything from logo design to sound engineering.

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 Guru. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Guru. 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.

Guru mentions (3)

  • I tried to kill myself today
    Guru.com and similar website have tons of resources for starting freelancers. You won't land yourself a cushy programming job in the first week, you may need to hustle long work weeks and multiple employers, but if you are a trained programmer, you shouldn't have much trouble finding a job, after you take care of yourself. Source: almost 5 years ago
  • Web stack for advertisement platform
    Cloud hosted, haven't done any assessment. Maybe something like freelancer.com or guru.com is similar. Source: about 5 years ago
  • How do you get the initial SEO backlinks?
    Go to guru.com and get a data miner to find you a list of 500 relevant blogs, contact details etc. Source: about 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
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What are some alternatives?

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

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

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

Freelancer.com - Search for jobs related to Www freelancer com homepage or hire on the world's largest freelancing marketplace with 12m+ jobs. It's free to sign up and bid on jobs.

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

Fiverr - One marketplace, millions of professional services.

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