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Matplotlib VS Chili Piper

Compare Matplotlib VS Chili Piper 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...

Chili Piper logo Chili Piper

Chili Piper is an intelligent calendar for Sales teams, to book their own meetings or set appointments for other teams.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Chili Piper Landing page
    Landing page //
    2023-09-28

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.

Chili Piper features and specs

  • Automated Scheduling
    Chili Piper offers advanced automated scheduling that reduces manual effort, improves team efficiency, and enhances the booking experience for clients.
  • Real-time Lead Routing
    It features real-time lead routing, ensuring leads are directed to the right sales representative immediately, improving response times and increasing conversion rates.
  • Integrations
    Chili Piper integrates seamlessly with major CRM systems like Salesforce and HubSpot, allowing for streamlined workflows and better data management.
  • User-Friendly Interface
    The platform has an intuitive and easy-to-use interface, which reduces the learning curve and allows users to get up to speed quickly.
  • Customizable Booking Rules
    It offers customizable booking rules and templates so businesses can tailor the scheduling process to fit their specific needs and workflows.

Possible disadvantages of Chili Piper

  • Cost
    Chili Piper can be expensive for small to medium-sized businesses, making it less accessible for companies with a limited budget.
  • Complex Configuration
    The initial setup and configuration can be complex and time-consuming, requiring a thorough understanding of the system and its functionalities.
  • Support
    Some users report that customer support can sometimes be slow or not as helpful as expected, which can be frustrating when issues arise.
  • Feature Overload
    The extensive features available may feel overwhelming to new users who only need basic functionalities, making the platform appear more complex than necessary.
  • Mobile Experience
    The mobile experience is not as robust as the desktop version, which can be limiting for users who rely heavily on mobile devices for business operations.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Chili Piper videos

+ Add

Chili Piper Concierge - Explainer

More videos:

  • Review - How Chili Piper uses the Intelligent Form Scheduler
  • Demo - How Grow Used Chili Piper to Improve MQL to Demos Scheduled by 75%

Category Popularity

0-100% (relative to Matplotlib and Chili Piper)

Matplotlib

Chili Piper

Technical Computing
100 100%
Technical Computing
0% 0
Appointment Scheduling
0 0%
Appointment Scheduling
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Event Scheduling
0 0%
Event Scheduling
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 Chili Piper

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 doesn’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

Chili Piper Reviews

The Best 24 Appointment Scheduling Apps and Booking Software
Chili Piper is an inbound conversion platform built for revenue teams, with features that help reps close deals faster. Chili Piper is perfect for sales teams with 5+ people. It’s for teams who are looking to book sales meetings faster, whether it be:
Source: blog.hubspot.com
The Best Alternatives to Doodle That You Should Check Out
A practical feature of Chili Piper optimizes your calendar and improves productivity. You can set appointment reminders, set buffers between meetings, and reserve time slots. Most important, it makes it easy to schedule appointments.
Source: trafft.com
The 6 Best Calendly Alternatives in 2022 (Free & Paid Options)
In the Calendly vs Chili Piper battle, Calendly works well for the individual, but Chili Piper is designed for teams that need sophisticated features.
Source: www.chilipiper.com

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Chili Piper. While we know about 107 links to Matplotlib, we've tracked only 2 mentions of Chili Piper. 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 (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 2 months ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 6 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 9 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 10 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
View more

Chili Piper mentions (2)

  • Uncovering Frontend Data Aggregation: Our Encounter with BFF, GraphQL, and Hydration
    Our team at Chili Piper has recently started migrating our backend to a microservices architecture. As a front-end developer, I've been documenting my journey and insights while tackling the challenge of handling aggregated data in this new scenario. - Source: dev.to / about 2 years ago
  • Introvert Project Managers
    Head Sales Rep. ~ Love my job and sometimes it scares me most because I get anxious all the time especially when clients just email me for meetings and booked in 10 minutes.. I know it's my job to handle meetings and all but I hope they sometimes value someone's time. So what I do before every meeting is drink tea and meditate for a 10 or so talk to my plants and chill with my pets, also using chilipiper so that... Source: almost 4 years ago

What are some alternatives?

When comparing Matplotlib and Chili Piper, 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.

Doodle - Make meetings happen. With Doodle, scheduling becomes quick and easy.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Geekbot - Discover how to organise asynchronous stand up meetings in Slack and keep your team synced using Geekbot. Start your free trial today!

Plotly - Low-Code Data Apps

Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.

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