Software Alternatives, Accelerators & Startups

Matplotlib VS Lever

Compare Matplotlib VS Lever and see what are their differences

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Matplotlib logo Matplotlib

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

Lever logo Lever

A modern web app for hiring. Lever is a simple, powerful way to manage lists of candidates during the hiring process.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Lever Landing page
    Landing page //
    2023-07-05

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.

Lever features and specs

  • User-Friendly Interface
    Lever offers an intuitive and easy-to-navigate interface, making it simple for recruiters and hiring managers to use successfully without a steep learning curve.
  • Collaborative Features
    The platform provides robust collaboration tools, allowing multiple team members to participate in the hiring process seamlessly, including sharing feedback and conducting interviews.
  • Customizable Workflows
    Lever allows organizations to customize workflows to match their specific recruitment processes, providing flexibility and efficiency.
  • Advanced Analytics
    Lever includes powerful analytics and reporting features, enabling teams to make data-driven decisions and track KPIs related to the hiring process.
  • Integrations
    The platform integrates with a wide variety of other tools and software, such as HR systems, background check services, and calendar applications, which streamlines the recruitment process.
  • Candidate Relationship Management (CRM)
    Lever also functions as a CRM, helping recruiters nurture relationships with candidates and maintain talent pipelines for future roles.

Possible disadvantages of Lever

  • Cost
    Lever can be relatively expensive compared to other applicant tracking systems (ATS), which might be a concern for small to mid-sized businesses.
  • Complexity for Small Teams
    While feature-rich, Lever may be more complex than necessary for very small teams or companies that do not require extensive functionalities.
  • Limited Customization in Some Areas
    Some users have reported that certain aspects of the platform, such as templates and reporting, have limited customization options.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, some of the more advanced features may require additional training or time to master.
  • Scalability Issues
    Some users have reported that Lever can become less responsive or encounter issues as the scale of recruitment efforts grows significantly.

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.

Analysis of Lever

Overall verdict

  • Lever is considered a good choice for organizations looking for a modern, feature-rich recruiting platform that enhances collaboration and efficiency in the hiring process.

Why this product is good

  • Lever is a popular applicant tracking system and recruitment software platform known for its user-friendly interface and robust features. It offers collaborative hiring, seamless integrations, and advanced analytics to help companies streamline their recruitment process. Lever is praised for its intuitive design, easy implementation, and helpful customer support.

Recommended for

    Lever is particularly recommended for mid-sized to large organizations that value collaboration across teams and want to leverage data-driven insights to improve their recruitment strategy. It is also suitable for companies that need an easily scalable solution with comprehensive integration capabilities.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Lever videos

Gimmick or Legit? | PNW Components Loam Lever Review

More videos:

  • Review - ASI Golden Lever REVIEW (For Tekken) | THE MOST EXPENSIVE KOREAN LEVER?
  • Review - ROX DRAGON KNEE Lever Review (LIMITED EDITION)

Category Popularity

0-100% (relative to Matplotlib and Lever)
Data Science And Machine Learning
Hiring And Recruitment
0 0%
100% 100
Technical Computing
100 100%
0% 0
Recruitment
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 Matplotlib and Lever

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...

Lever Reviews

Best Recruiting Softwares for Small Business
Lever offers two pricing plans namely LeverTRM and LeverTRM for Enterprise. Different sets of features are available in both and more features can also be included on an add-on basis.
22 Best HR Management Software & Tools to Use in 2021
Lever takes care of sourcing, managing the schedules, interviewing and hiring the workforce. It also helps managers with an automated reporting process. These processes can be customized in a streamline as per your companyโ€™s requirements.
Source: allthatsaas.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Lever. While we know about 114 links to Matplotlib, we've tracked only 7 mentions of Lever. 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.

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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Lever mentions (7)

  • Am i applying to jobs wrong?
    In the US, even just looking at indeed and filtering out the scam ones there's tons of applications I can send out each day for companies I've never heard of before. Other than that try to find alternative job boards, handshake or even something like a google query like the following: site:http://lever.co/ | site:http://greenhouse.io/ | site:http://app.dover.io/ | site:http://jobs.ashbyhq.com/ (developer |... Source: almost 3 years ago
  • Help looking for internships (2024)
    Awesome! Thanks for the advice. I'd never heard of greenhouse.io or lever.co but I'll def check them out. Source: about 3 years ago
  • Can I add a fake street address?
    Correct, the field is marked as required and I can't progress if it's blank. I see this all the time on sites like lever.co . Source: about 3 years ago
  • Appreciation for Lever
    God I love Lever so much. Whoever made Lever doesn't know just how much I appreciate them, fighting against those cursed portals like Workday, ICIMS, and Brassring to make the grueling application process so much more bearable just by being simple and friendly. Every time I see an internship application direct to a lever.co site, I have a small celebration in my brain. Thank you Lever. Source: about 3 years ago
  • is there a job board that I can only see jobs posted by companies through lever.co? I don't have an interest in applying for companies that make you enter your education/work info manually.
    Basically the title. If I'm going to apply for google, microsoft, etc. I would totally go through the process and fill out the application form. But sometimes I just randomly want to pass my CV and see what sticks. In that case, I just want to limit myself to companies that only need a CV and have a one-click submission process like lever.co. Source: over 3 years ago
View more

What are some alternatives?

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

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

Workable - Hire better with Workable. Post to the top job boards and enjoy a simple, intuitive applicant tracking system, made for teams. Start a free trial today.

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

Greenhouse - Greenhouse Software makes companies great at hiring.

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

Breezy.hr - A Modern Hiring Tool for the Entire Team. A uniquely simple, visual hiring tool you and your team will love.